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AI Agents Are About to Disrupt Your Marketing Channels
01Apr

AI Agents Are About to Disrupt Your Marketing Channels

AI Agents Are About to Disrupt Your Marketing Channels—Here’s How to Adapt The Future of Marketing Isn’t Human-Centric—It’s Agent-Driven AI agents are poised to revolutionize how brands and consumers interact. These autonomous systems don’t just assist—they research, decide, and transact on behalf of users, fundamentally altering the role of traditional marketing channels. Google knows this. That’s why it’s replacing traditional search with Gemini, an AI agent that delivers answers, not just links. Meta is integrating AI across WhatsApp and Messenger, enabling two-way, large-scale brand interactions. Soon, every channel—email, social, loyalty programs, even your website—will become an AI-powered research and transaction hub. The question isn’t if this will impact your marketing strategy—it’s how soon. What Are AI Agents—And Why Should Marketers Care? AI agents are the next evolution of autonomous AI, combining:✅ Generative AI (content creation, personalization)✅ Predictive AI (data-driven decision-making)✅ Complex task execution (end-to-end customer journeys) Today’s challenge? Most companies struggle to move from AI experimentation to real-world impact. Agents change that—they bridge the gap between hype and execution, turning AI potential into measurable business results. 3 Ways to Future-Proof Your Channel Strategy 1. Build a Bulletproof Data Foundation (Now) AI agents won’t just use data—they’ll demand it to make decisions for customers. 🔹 Example: A customer asks an agent, “Find me the best CRM for small businesses.”🔹 Without structured data: The agent may overlook your product.🔹 With optimized data: Your CRM appears as a top recommendation, complete with pricing, features, and a seamless sign-up link. Action Step: Audit your product data, pricing, and USPs. Ensure they’re machine-readable and easily accessible to AI-driven platforms. 2. Rethink “Channels” as AI Conversation Hubs Traditional marketing funnels (search → browse → convert) will collapse. Instead: Action Step: Optimize for AI-native experiences—structured FAQs, API-accessible pricing, and instant conversion paths. 3. Prepare for AI-to-AI Negotiation B2B and high-consideration purchases (e.g., SaaS, automotive, real estate) will see AI agents negotiating deals on behalf of users. 🔹 Example: A corporate procurement AI evaluates your software against competitors, automatically requesting discounts or custom terms.🔹 Winners will be brands that enable AI-friendly decision-making (clear pricing, comparison data, instant approvals). Action Step: Develop agent-friendly sales collateral—dynamic pricing tables, competitor comparisons, and API-driven contract automation. The Bottom Line: Adapt or Get Displaced The shift to agent-driven marketing isn’t gradual—it’s exponential. Companies that wait will find themselves invisible to AI intermediaries shaping customer decisions. Your roadmap: The future belongs to marketers who design for AI-first experiences. The time to act is now. “AI agents won’t just change marketing—they’ll redefine it. The brands that win will be those that engineer their systems for machines, not just people.”—Salesforce AI Research, 2024 Ready to future-proof your strategy? Contact Tectonic. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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April 1, 2025in Agentforce Platform, Data, Generative AI, Google, Salesforce, Salesforce Implementation Services, Salesforce Marketing Automation
ai agents
29Mar

AI Agents

What AI Agents Are Available on the Market? Limitations of Operator, Computer Use, and Similar Agents OpenAI Operator can be seen as a semi-autonomous agent, but many users note that it asks too many questions and requires excessive confirmations, even in situations that pose no risk:“Operator is like driving a car with cruise control — occasionally taking your foot off the pedals — but it’s far from full-blown autopilot.” Furthermore, although Operator is technically designed to interact with any website, in reality, it’s far from a universal solution. It works reliably on a predefined set of platforms for tasks like shopping and restaurant reservations (such as Instacart and OpenTable), where its functionality has been tested. But outside of these, its performance is inconsistent — sometimes even generating incorrect or entirely fabricated data. Google’s Project Mariner, which aims to offer similar capabilities within Chrome, remains in closed beta for now. Meanwhile, many are eagerly anticipating a consumer product from Claude, which released the API for its Claude Computer Use agent (built on a slightly different principles) back in October 2024. One thing seems certain, though — it will be even more “cautious” than Operator, meaning it’s unlikely to handle tasks like sending emails or posting on social media on your behalf. Thus, browser-based agents come with at least two key limitations:— they work reliably only on a predefined set of websites;— certain actions are prohibited (for example, allowing an agent to send emails autonomously could create conflicts between its owner and others). Mobile agents face similar constraints. Take Perplexity Assistant, one of the earliest attempts at a “versatile” mobile AI agent — it still supports only a limited range of apps where it can operate on behalf of the user. Deep Research Agents To highlight the contrast, let’s look at AI agents built specifically for deep research. This category has seen a surge in new tools recently, and they deliver significantly better results than standard AI-powered web search. Deep Research tools qualify as AI agents due to their high level of autonomy. At this stage, no truly agentic tool exists that can handle any problem on our behalf — even in a semi-autonomous mode, let alone a fully autonomous one. However, there are highly effective agents within specific domains, such as deep research agents. With that in mind, let’s categorize typical AI applications into several groups (use cases) and tackle the following question for each group. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 29, 2025in Data, Google, Salesforce
Salesforce’s Marketing Intelligence
25Mar

Salesforce’s Marketing Intelligence

Introducing Salesforce’s Marketing Intelligence: The Future of Marketing Analytics For the past dozen years, many marketers have been enamored with a powerful marketing analytics tool—Datorama, now known as Salesforce Marketing Cloud Intelligence (MCI). Regarded as one of the most seamless solutions for unifying data across multiple sources, MCI was built by marketers for marketers. It enables users to effortlessly combine data, generate reports, and build dashboards using plain language and pre-built data models. Whether for simple smart-lens dashboards or complex automated reporting triggered by specific events, MCI has been a game-changer. To the delight of marketers everywhere, Salesforce announced on March 18, 2025, a new evolution of the tool: Marketing Intelligence (MI). Built on the Salesforce Platform, MI takes the best of MCI and integrates it with Data Cloud’s unified architecture while introducing agentic AI features that deliver actionable, conversational insights. So, without further ado, let’s explore this exciting new tool. What Is Marketing Intelligence? Marketing Intelligence (MI) is a new Salesforce application designed to simplify marketing data management, deliver trustworthy insights, and maximize marketing ROI. Built on Data Cloud and deeply connected to the Salesforce ecosystem, MI is fully extensible—equipping marketers with everything they need to create powerful, meaningful dashboards with minimal effort. Data Cloud for Marketers, Made Easy One of the standout features of MCI has always been its AI-powered data mapping, which auto-populates based on past usage and logical predictions. Additionally, many APIs come with prebuilt models, reducing the need for manual configuration. These capabilities have helped marketers transition smoothly into data modeling and dashboarding without requiring deep technical expertise. Happily, MI retains and enhances these features. Users can upload a TotalConnect file (a flat file of their choice) or connect via API—with options like Google Ads available at launch and more integrations coming soon. Selecting a connection like Google Ads pulls in formatted data, ready for quick mapping, allowing users to build dashboards in just three clicks. Clean, Intuitive Dashboards MI’s dashboards are sleek, fast-loading, and prebuilt—yet fully customizable. A major upgrade over MCI is the inclusion of generative AI summaries, which analyze campaigns and highlight what’s working (and what isn’t). This feature represents the future of dashboarding: not just displaying data trends but explaining them in plain language and suggesting next steps. Marketers can even ask their AI agent to take action based on these insights, streamlining optimization like never before. This functionality is particularly valuable in large implementations where different users extract different insights from the same dashboard. Instead of manually interpreting data, marketers can now ask their AI agent for recommendations—saving time and reducing guesswork. Harmonized Data Across Channels The core goal of any marketing analytics tool—whether Data Cloud, MCI, or MI—is to unify cross-channel data into actionable insights. Beyond standardized API mapping, MI harmonizes fields across datasets and uses a semantic model to logically connect data (e.g., aligning campaign names across paid media, CRM, and other tools—even when naming conventions differ). For Existing MCI Users: What’s New? Many longtime MCI users may wonder: Can a new version really live up to the original? The answer? Absolutely. Here’s why: 1. Normalization, Simplified In MCI, joining messy and clean data often requires manual effort—using formulas or restructuring campaigns. MI changes that. With Einstein AI-powered normalization, users can automatically standardize data without manual adjustments, making cross-channel reporting smoother than ever. 2. Semantic Modeling Flexibility While MCI offers prebuilt data models, MI introduces semantic modeling, allowing users to define custom relationships across datasets. This means greater flexibility in structuring data, adding fields, and evolving models as business needs change—all while maintaining seamless integration with Salesforce objects. 3. ROI & Attribution, Supercharged The best MCI implementations tie cost/engagement data to real ROI. MI takes this further by integrating with Sales Cloud objects, enabling clearer ROI visualization. Additionally, attribution modeling is now more robust, with support for first- and last-touch attribution—helping marketers validate performance and optimize spend. For New Users: Why Choose MI? 1. Best-in-Class Data Harmonization MCI has long been the gold standard for unifying marketing data. Now, MI enhances this with Data Cloud integration, AI normalization, and three-click setup—making it the ultimate solution for marketers. 2. Smarter, Faster Visualizations While MCI offers strong visualization options, MI improves on two key pain points: 3. Unmatched Customization Want to dynamically rename campaigns, merge traffic sources, or filter data based on custom logic? MI makes it possible with pattern extraction, semantic-layer calculated fields, and Einstein normalization—giving marketers unprecedented control. A New Era for Marketing Analytics Marketing Intelligence launched on March 18, 2025 (requiring Data Cloud and MI licenses). Marketers eager to explore this next-generation tool should contact their Salesforce account executive. MI represents a leap forward in intelligent dashboarding, streamlining marketing data in ways MCI only hinted at. For data-driven marketers, the future is here—and it’s more powerful than ever. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 25, 2025in Agentic AI, Data, Generative AI, Google, Marketing Intelligence, Salesforce, Salesforce Marketing Cloud
B2B Customer Service with Agentforce
24Mar

Agents are the Future of Customer Engagement

Agentic Customer Engagement is Here There was a time when customer service meant going into a brick and mortar building and talking to a person face to face. It was time consuming and did not guarantee a solution. The mail order business brought on the need for the 800 number to contact a merchant. The dot com boom brought customer engagement opportunities directly to our homes. Ios and Android apps brought customer engagement to our fingertips. Yet we still were dependent upon the availability of humans or at least chatbots. Customer service often repressed customer engagement, not enhanced it. Agents, like Salesforce Agentforce, brought 24 7 customer engagement to us no matter where we are, when it is, or how complicated our issue is. And agents improved customer service! What’s next? Robots and drones who deliver our items and answer our questions? Who knows. AI bots are transforming client relationships and customer service. To achieve unparalleled efficiency, these intelligent systems plan and automate difficult activities, make deft decisions, and blend in seamlessly with current workflows. Yes, it’s widely believed that AI agents will play a crucial role in the future of customer engagement, offering personalized, efficient, and consistent experiences across various channels.  Here’s why AI agents are poised to be a key driver in customer engagement: AI agents are becoming smarter every day, using machine learning and natural language processing to predict customer needs, handle complex queries with empathy and offer real-time, personalized assistance. How AI Agents Are Redefining Customer Engagement Marketing is undergoing a seismic transformation. Tectonic shift, if you will. The past decade was dominated by complex tech stacks and data integration—now, AI is shifting the focus back to what truly matters: crafting impactful content and campaigns. Welcome to the era of agentic customer engagement and marketing. The Rise of Marketing Agents Unlike traditional customer service agents handling one-to-one interactions, marketing agents amplify human expertise to engage audiences at scale—whether targeting broad segments or hyper-personalized personas. They ensure consistent, high-quality messaging across every channel while automating the intricate backend work of delivering the right content to the right customer at the right time. This shift is powered by rapid AI advancements: How Agentic Engagement Amplifies Marketing Marketing agents don’t replace human creativity—they extend it. Once strategists set guidelines, approve messaging, and define brand voice, agents execute with precision across channels. At Typeface, for example, AI securely learns brand tones and styles to generate on-brand imagery, text, and videos—ensuring every asset aligns with the company’s identity. Key Capabilities of Marketing Agents The Human-Agent Partnership AI agents don’t replace marketers—they empower them. Humans bring creativity, emotional intelligence, and strategic decision-making; agents handle execution, data processing, and scalability. Marketers will evolve into “agent wranglers”, setting objectives, monitoring performance, and ensuring alignment with business goals. Meanwhile, agents will work in interconnected ecosystems—where a content agent’s blog post triggers a social agent’s promotion, while a performance agent optimizes distribution, and a brand agent tracks reception. Preparing for the Agent Era To stay ahead, businesses should:✅ Start small, think big – Pilot agents in low-risk areas before scaling.✅ Train teams – Ensure marketers understand agent management.✅ Build governance frameworks – Define oversight and intervention protocols.✅ Strengthen data infrastructure – Clean, structured data fuels agent effectiveness.✅ Maintain human oversight – Regularly audit agent outputs for quality and alignment. Work with a Salesforce partner like Tectonic to prepare for the Agent Era. The Future is Agentic The age of AI-driven marketing isn’t coming—it’s here. Companies that embrace agentic engagement will unlock unprecedented efficiency, personalization, and impact. The question isn’t if you’ll adopt AI agents—it’s how soon. Ready to accelerate your strategy? Discover how Agentforce (Salesforce’s agentic layer) can cut deployment time by 16x while boosting accuracy by 70%. The future of marketing isn’t just automated—it’s autonomous, adaptive, and agentic. Are you prepared? The Future of Customer Experience: AI-Driven Efficiency and Innovation Businesses have long understood the connection between operational efficiency and superior customer experience (CX). However, the rapid advancement of AI-powered technologies, including next-generation hardware and virtual agents, is transforming this connection into a measurable driver of value creation. Increasingly well-documented use cases for generative AI (GenAI) demonstrate that companies can simultaneously deliver a vastly superior customer experience at a significantly lower cost-to-serve, resulting in substantial financial gains. From Customer Journeys to Autonomous Customer Missions To achieve this ideal balance, companies are shifting from traditional customer journeys—where users actively manage their own experiences via apps—to a more comprehensive approach driven by trusted autonomous agents. These agents are designed to complete specific tasks with minimal human involvement, creating an entirely new paradigm for customer engagement. While early implementations may be rudimentary, the convergence of hardware and AI will lead to sophisticated, seamless experiences far beyond current capabilities. AI-Enabled Internal and External Transformation AI is already driving transformation both internally and externally. Internally, it streamlines processes, enhances employee experiences, and significantly boosts productivity. In customer service operations, for example, GenAI has driven productivity improvements of 15% to 30%, with some companies targeting up to 80% efficiency gains. Externally, AI is reshaping customer interactions, making them more personalized, efficient, and intuitive. Virtual co-pilots assist customers by answering inquiries, processing returns, and curating tailored offers—freeing human employees to focus on complex issues that require nuanced decision-making. Linking Operational Efficiency to Customer Experience Leading organizations are demonstrating how AI-driven efficiencies translate into enhanced CX. Despite these gains, companies must raise the bar even further to fully capitalize on AI’s potential. The convergence of next-generation hardware with AI-driven automation presents an unprecedented opportunity to redefine customer engagement. From App-Driven Experiences to Autonomous Agents At Dreamforce 2024, Salesforce CEO Marc Benioff highlighted that service employees waste over 40% of their time on repetitive, low-value tasks. Similarly, customers face friction in making significant purchases or planning events. Google research indicates that travelers may engage in over 700 digital touchpoints when planning a trip—a fragmented and often frustrating experience. Imagine instead a network of proprietary and third-party agents seamlessly executing customer missions—such as purchasing a car or planning a vacation—without requiring constant user input. These AI agents

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March 24, 2025in Agentforce Platform, Agentic AI, Data, Generative AI, Google, Salesforce
20Mar

Integrating Google’s Agent Assist with Salesforce & Twilio Flex

Overview This guide walks through integrating Google’s Agent Assist with Salesforce using Twilio Flex as the call center platform. The setup enables real-time AI-powered agent suggestions during voice calls by streaming conversation data to Agent Assist. Key Components Prerequisites Before starting, ensure you have: ✅ Node.js v18.20.4 (Node 20.x has compatibility issues)✅ Salesforce CLI (Install via npm install -g @salesforce/cli)✅ Google Cloud CLI (gcloud auth login)✅ Salesforce Access (Note your My Domain URL and Org ID)✅ Twilio Flex Account Step 1: Configure Twilio Flex 1. Install the SIPREC Connector 2. Set Up IVR in Twilio Studio Step 2: Set Up the Development Project Step 3: Configure Salesforce 1. Deploy the Lightning Web Component (LWC) 2. Create a Connected App 3. Set Up CORS & Trusted URLs Step 4: Install Twilio Flex CTI in Salesforce Follow Twilio’s Flex CTI setup guide to embed Flex in Salesforce. Step 5: Add Agent Assist to Salesforce Console Step 6: Test the Integration Conclusion This integration enables AI-powered agent assistance directly in Salesforce, leveraging Twilio Flex for call handling and Google’s Agent Assist for real-time insights. 🔗 GitHub Repo: Agent Assist Integrations🔗 Twilio Flex CTI Docs: Salesforce Integration Guide For troubleshooting, refer to the Google Cloud documentation or contact support. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 20, 2025in Agentforce Platform, Data, Google, Salesforce
How Salesforce’s 5-Level Framework for AI Agents Cuts Through the Hype
19Mar

How Salesforce’s 5-Level Framework for AI Agents Cuts Through the Hype

The tech industry is abuzz with talk of AI agents, but what can they actually accomplish? Amid the noise, Salesforce has introduced a practical five-level framework—the Agentic Maturity Model—that clarifies the real capabilities and limitations of today’s AI agents. The Problem with AI Agent Hype AI agents are often overpromised, vaguely defined, and limited by ecosystem barriers. Major players like Microsoft and Google tout AI agents for everything from enterprise workflows to personal computing, yet many of these tools remain constrained by data silos and interoperability issues. Salesforce’s framework provides a structured way to assess AI agent maturity, helping businesses distinguish between basic automation and truly intelligent, cross-platform AI systems. The 5 Levels of AI Agent Maturity Level 0: Fixed Rules & Repetitive Tasks Level 1: Information Retrieval Agents Level 2: Simple Orchestration, Single Domain Level 3: Complex Orchestration, Multiple Domains Level 4: Multi-Agent Orchestration Why This Framework Matters Salesforce’s model demystifies AI agent capabilities, helping businesses:✅ Evaluate vendor claims (Is it Level 2 or Level 4?).✅ Plan AI adoption (Start with Level 0 automation, then scale up).✅ Avoid ecosystem lock-in by understanding data interoperability challenges. Final Verdict: A Much-Needed Reality Check While AI agents hold immense potential, most current implementations are far from autonomous. Salesforce’s framework provides a clear, honest roadmap—helping businesses cut through the hype and adopt AI agents strategically. For now, Levels 0-2 are widely achievable, while Levels 3-4 remain aspirational for most organizations. The key takeaway? AI agents are evolving, but true cross-platform intelligence is still a work in progress. What’s Next?Businesses should: Salesforce’s framework is a wake-up call: AI agents are powerful, but not magic. The future lies in practical, phased adoption—not blind hype. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 19, 2025in Agentforce Platform, Data, Enterprise, Google, Salesforce
Salesforce Marketing Intelligence
18Mar

Salesforce Marketing Intelligence

Introducing Marketing IntelligenceYour AI-powered marketing analytics solution built on the Salesforce Platform to enhance campaign performance and eliminate wasted spend. OverviewAccessing, harmonizing, and analyzing marketing data remains a highly manual and time-intensive process. Many marketers spend up to a week each month collecting, cleansing, and modeling data for reporting and analysis. As a result, nearly 41% of marketers’ time is consumed by repetitive tasks, leading to delayed performance reporting—when it’s too late to make optimizations that reduce waste and enhance customer value. Marketing Intelligence, our native Salesforce marketing analytics solution, addresses these challenges. Leveraging Data Cloud, Agentforce, Einstein AI, and Tableau Next, it continuously integrates, harmonizes, and transforms third-party marketing performance data into actionable insights—enabling marketers to optimize campaign spend and performance effortlessly. How Marketing Intelligence WorksMarketing Intelligence empowers marketers to seamlessly manage, analyze, and act on performance data—ensuring data-driven decisions that maximize ROI with minimal manual effort. Manage Your Data Marketing Intelligence automates data management with prebuilt connectors, AI-powered enrichment, and a marketing-specific semantic data model. Marketers can connect and harmonize performance data in just three clicks. See a full demo Understand Your Data Marketing Intelligence accelerates insights with out-of-the-box dashboards, built-in attribution reporting, and Agentforce-powered campaign optimization. Act on Your Data Leverage Agentforce to autonomously optimize campaigns around your business goals, 24/7. “We see potential with the future of Marketing Intelligence to drive faster results and deeper analysis by utilizing AI and Agentforce to enhance the platform’s analytical capabilities.”— Spike Therrien, Performance Marketing Lead, Land O’Lakes What’s NextWe’re expanding our unified data and Agentforce capabilities to provide a holistic view of marketing performance across paid, owned, and earned media—directly within the app. Upcoming enhancements include: Stay ahead of the curve with Marketing Intelligence—your AI-powered marketing analytics solution designed to drive efficiency and maximize campaign impact. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 18, 2025in Data, Google, Google Analytics, Marketing Intelligence, Salesforce
FormAssembly Gov Cloud Achieves FedRAMP High Impact Authorization
18Mar

FormAssembly Gov Cloud Achieves FedRAMP High Impact Authorization

FormAssembly Gov Cloud Achieves FedRAMP High Impact Authorization, Strengthening Secure Data Collection for Federal Agencies FormAssembly, a leader in secure, forms-based data collection solutions, has announced that FormAssembly Gov Cloud is now FedRAMP High Impact Authorized, providing federal agencies and public sector organizations with a fully compliant, secure solution for data collection and process automation. FedRAMP (Federal Risk and Authorization Management Program) is a U.S. government initiative that standardizes security assessment and authorization for cloud-based technologies used by federal agencies. This milestone, achieved in partnership with FedHIVE, ensures agencies can confidently leverage FormAssembly’s no-code platform to streamline workflows while meeting the government’s most rigorous security and compliance requirements. Operating within a High Impact Virtualized Environment, FormAssembly Gov Cloud adheres to more than 420 security controls, safeguarding sensitive federal data and ensuring compliance with stringent federal regulations. “Achieving FedRAMP High Impact authorization underscores our commitment to providing government agencies with a secure, compliant solution for modernizing data collection,” said Jaineesh Davda, CIO at FormAssembly. “With FormAssembly Gov Cloud, agencies can replace outdated manual processes with automated workflows that enhance efficiency, improve citizen services, and ensure data integrity.” Empowering Federal Agencies with Secure, Automated Data Collection FormAssembly Gov Cloud is designed to meet the demanding security and compliance requirements of federally regulated environments. Agencies can confidently collect and manage Controlled Unclassified Information (CUI) while benefiting from advanced security features, including: ✅ Role-Based Access Control – Ensuring only authorized personnel access sensitive data.✅ Data Encryption – Protecting information in transit and at rest.✅ Comprehensive Audit Trails – Providing transparency and accountability in data handling. Streamlining Government Operations with Seamless Integrations Beyond security, FormAssembly Gov Cloud empowers agencies to transform manual, paper-based processes into efficient, automated workflows. Seamless integration with government-preferred platforms such as Salesforce Government Cloud, Microsoft 365, and Google Workspace enables agencies to build a secure, connected data ecosystem. With over 350 five-star reviews on the Salesforce AppExchange, FormAssembly remains the preferred digital form solution for organizations leveraging Salesforce, accelerating implementation, driving long-term adoption, and optimizing data collection at scale. Learn more about FormAssembly Gov Cloud [here] and find us on the FedRAMP Marketplace. About FormAssembly FormAssembly is a leading forms-based data collection platform trusted by organizations worldwide. Known for its ease of use, enterprise-grade security, and seamless Salesforce integration, FormAssembly empowers businesses in highly regulated industries—such as government, financial services, healthcare, higher education, and nonprofits—to streamline data workflows while maintaining strict compliance. To learn more, visit www.formassembly.com. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 18, 2025in Data, Enterprise, Google, Salesforce, Salesforce Government Cloud
Salesforce Data Cloud Hits $900M in Revenue
18Mar

The Future of Real-Time Customer Intelligence

Salesforce Data Cloud Today: The Future of Real-Time Customer Intelligence Imagine a CRM That Knows Your Customers Better Than You Do The future of real-time customer intelligence is here now. What if your CRM could:✔️ Track every customer interaction in real time—purchases, social media activity, support tickets✔️ Predict their next move before they make it✔️ Automatically trigger hyper-personalized marketing, sales, and service actions that deliver incredible experiences That’s Salesforce Data Cloud (formerly known as Salesforce Genie)—an AI-powered Customer Data Platform (CDP) that turns raw data into real-time customer intelligence. Why Data Cloud is The Future of Real-Time Customer Intelligence Businesses today are drowning in data but starving for insights. Traditional CRMs rely on outdated, siloed information—leading to missed opportunities and generic customer experiences. Salesforce Data Cloud solves this by:🔹 Unifying data from every source (CRM, eCommerce, IoT, social media, third-party apps)🔹 Resolving duplicates into a single, dynamic customer profile🔸 Predicting behavior with Einstein AI to automate next-best actions🔺 Acting in real time—no more batch processing delays Example: Starbucks-Level Personalization (Without the Big Data Team) Starbucks uses a CDP to track your orders, app usage, and location to send personalized offers when you’re near a store.With Data Cloud, any business—big or small—can do the same. Generic communication is so 2020. Get with the times with Salesforce Data Cloud! How Salesforce Data Cloud Works (2025 Edition) 1. Data Ingestion: Bring Every Customer Signal Together Data Cloud connects:✔️ Salesforce records (Leads, Cases, Opportunities)✔️ External platforms (Shopify, Google Analytics, Meta Ads)✔️ IoT & live streams (smart devices, chatbots, in-store sensors) Example: A retailer tracks online purchases, in-store visits, and support chats—all in one profile. 2. Identity Resolution: No More Duplicate or Messy Data Ever had “John Smith” in your system five times? Data Cloud’s AI:✔️ Merges duplicates into one accurate profile✔️ Unifies all interactions (website visits, emails, purchases) 3. Real-Time Segmentation: Instant Customer Groups Forget manual reports—Data Cloud auto-creates segments like:🎯 “High-value customers who haven’t bought in 30 days”🎯 “Mobile app users at risk of churning” Example: A travel agent spots VIP clients searching for luxury trips and sends a personalized offer within seconds. 4. AI-Powered Actions: The Brain Behind the Scenes Einstein AI analyzes data and recommends:📞 Sales: “Call this lead now—90% chance to convert!”✉️ Marketing: “Send a discount—they’re price-sensitive.”🛠️ Service: “Their device is malfunctioning—proactively offer help.” Imagine the power at your fingertips with a CDP that intuitively advises next best actions with data-driven insights! Real-World Use Cases (2025 Success Stories) 1. Hyper-Personalized Retail Experiences ❌ Problem: A faurniture brand’s online & offline data were siloed, leading to generic promotions.✅ Solution: Data Cloud unifies: 2. Smarter B2B Sales Engagement ❌ Problem: A SaaS company lost deals because reps didn’t know the best time to follow up.✅ Solution: Data Cloud tracks: 3. Predictive Customer Service (Banking & Healthcare) ❌ Problem: Customers only reported issues when it was too late.✅ Solution: Data Cloud detects:🏦 Banking: “Unusual login attempt → Freeze account & text customer”🏥 Healthcare: “Missed prescription refill → Send automated reminder”📈 Result: 50% fewer escalations Why Old-School CRM Can’t Compete Traditional CRM Salesforce Data Cloud Static, siloed data Real-time unified profiles Manual segmentation AI-driven auto-segmentation Batch processing Instant triggers & actions Generic experiences Hyper-personalized engagement Think of it like upgrading from a flip phone to an AI assistant. How to Get Started in 2025 1️⃣ Check Compatibility (Available in Unlimited, Performance, Enterprise+ editions)2️⃣ Connect Key Data Sources (Start with Marketing Cloud, eCommerce platforms)3️⃣ Define Priority Segments (e.g., repeat buyers, at-risk customers)4️⃣ Automate Actions (Use Salesforce Flow + Einstein AI) 💡 Pro Tip: Pilot with one department (e.g., marketing) before scaling. The Future of Data Cloud (Beyond 2025) 🔮 Voice & AR Integration – Customers ask a voice assistant for help, and Data Cloud instantly pulls their full history.🔒 Blockchain-Powered Security – Decentralized identity verification to prevent fraud.🤖 AI-Generated Content – Einstein crafts personalized emails, ads, and product recs dynamically. Is Salesforce Data Cloud Worth It? ✅ For Marketers: 1:1 personalization at scale✅ For Sales Teams: Close deals faster with AI insights✅ For Service Teams: Solve issues before customers complain The future of CRM is real-time, AI-driven, and frictionless.Are you still relying on static data? Contact Tectonic to upgrade! Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 18, 2025in Data, Enterprise, Google, Google Analytics, Salesforce, Salesforce Data Cloud, Salesforce Flow
Autonomous AI Service Agents
16Mar

The Evolving Role of AI Agents in Key Industries

Legal Services The future of AI in the legal field lies in deeper collaboration between human lawyers and AI systems. AI agents will handle routine document processing, contract analysis, and compliance checks, while legal professionals focus on strategy, negotiation, and final validation. This approach ensures efficiency without compromising accuracy or legal accountability. Finance The financial sector has been an early adopter of AI agents, leveraging them for market analysis, trading, and risk management. 1. Market Analysis & Research 2. Trading & Investment 3. Risk Management Current Limitations: While results are promising, financial AI applications require strict risk management and regulatory oversight. Most firms start with narrowly scoped use cases—such as single-asset trading—before expanding into complex portfolio management. Research & Science AI agents are transforming scientific research by accelerating discovery while maintaining rigorous methodology. A multi-agent approach is proving valuable throughout the research lifecycle: This framework has already shown success in chemistry, where AI agents have identified novel catalysts and reaction pathways. With Google’s Gemini Deep Research, AI-driven knowledge synthesis is expanding beyond specialized fields to broader scientific domains. Challenges & Considerations: The key to success is integrating AI agents into existing research methodologies while preserving scientific rigor. Emerging AI Agent Trends Across industries, three core patterns define the evolution of AI agents: While AI agents hold immense potential, most industries remain in an experimental phase of adoption. Many organizations start with Retrieval-Augmented Generation (RAG) before advancing to fully autonomous agents. The Challenge of Implementation Adopting AI agents requires careful evaluation of their benefits vs. complexity: Organizations must balance innovation, security, and operational efficiency to maximize the impact of AI agents in their industries. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 16, 2025in Data, Enterprise, Google
Rise of Agentic Commerce
14Mar

Rise of Agentic Commerce

The Rise of Agentic Commerce: How AI Agents Are Reshaping Ecommerce As online retailers experiment with agentic AI to enhance ecommerce, shoppers are already engaging with AI-driven experiences through subscriptions. Meanwhile, businesses are deploying AI agents behind the scenes to streamline their digital storefronts. In 2025, ecommerce platforms aren’t just pitching AI-powered recommendation engines—they’re embracing full-fledged agentic AI solutions. These intelligent agents are changing the way both retailers and consumers interact with digital shopping environments. Tech Giants and Startups Lead the Charge Agentic AI is becoming a key component in the ecommerce tech stack, joining machine learning, AI-powered search, and generative AI. Major players like Google and Meta have already integrated these capabilities, while Amazon and OpenAI are leveraging subscription models to attract users. Startups, as well as integrations for platforms like Shopify and Adobe’s Magento, are also fueling this AI-driven shift. Salesforce made a significant push for agentic AI at its 2024 Dreamforce event, showcasing its Agentforce capabilities. Luxury retailer Saks was an early adopter, using Agentforce to enhance personalization. Just months later, OpenAI introduced its Operator agent, with eBay, Etsy, and Instacart among its first users. But what exactly is agentic commerce, and how does it reshape online shopping? What Is Agentic Commerce? Agentic commerce refers to the use of AI agents in ecommerce. These agents, built on large language models (LLMs), go beyond chatbot-style interactions. They make decisions and execute actions autonomously, transforming how both consumers and merchants engage with online retail. For shoppers, this means AI-powered assistance throughout the learning, discovery, and purchasing journey. For retailers, agentic AI helps automate backend operations, streamlining tasks that previously required manual intervention. Consumers have already embraced AI chatbots in shopping experiences. Salesforce reported that AI-driven interactions boosted retail revenue during the 2024 holiday season. Adobe Analytics echoed this trend in a March 2025 survey, revealing that AI-assisted shopping led to higher engagement. “Online shoppers are seeing the benefits of AI-powered chat interfaces, which reduce the time needed to receive personalized information,” said Vivek Pandya, lead analyst at Adobe Digital Insights. “In Adobe’s survey, 92% of shoppers who used AI said it enhanced their experience, and 87% were more likely to use AI for larger or complex purchases.” Retailers are taking note. A February 2025 survey by Digital Commerce 360 found that AI investment is a top priority, with only 11.11% of ecommerce businesses planning to forgo AI implementation this year. AI-Powered Agents in Action Tech companies are responding to this growing demand. Adobe recently introduced its Experience Platform Agent Orchestrator, designed to manage AI agents across Adobe’s ecosystem and third-party platforms. Adobe’s research underscores the increasing role of AI in shaping customer engagement strategies. “This shift is redefining how businesses approach customer interactions,” Pandya noted. “AI agents are taking on more complex tasks and delivering highly personalized recommendations.” Retailers are already putting agentic commerce to the test. OpenAI’s Operator agent, for example, can autonomously navigate a web browser—searching, typing, and clicking to complete purchases. Users can ask Operator to order groceries, select gifts, or book tickets, streamlining transactions through AI-driven automation. Currently, Operator is available only to OpenAI’s ChatGPT Pro subscribers at $200 per month. However, OpenAI plans to expand access as it refines the technology. “We have a lot of work ahead, but we’re eager to put these tools into people’s hands,” said OpenAI CEO Sam Altman during an Operator demo. “More AI agents will be rolling out in the coming weeks and months.” The Subscription Model for AI-Powered Shopping Amazon is also bringing agentic AI to ecommerce with Alexa+. Priced at $19.99 per month—or free for Amazon Prime members—Alexa+ allows users to make purchases through Amazon.com, Whole Foods, Ticketmaster, and other retailers via voice commands. As these AI-powered tools gain traction, the pressure is on developers to deliver value that justifies their price tags. Whether through subscriptions or seamless integrations, the future of ecommerce is rapidly shifting toward intelligent, automated experiences. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 14, 2025in Agentic AI, AI Chatbots, Generative AI, Google, Salesforce, Technology
Google Expands AI Search Capabilities with Gemini 2.0
12Mar

Google Expands AI Search Capabilities with Gemini 2.0

Google is taking a significant leap forward in AI-powered search with the introduction of Gemini 2.0, expanding its experimental AI features to enhance complex search queries. This update broadens AI accessibility and introduces new capabilities for handling intricate searches. Enhanced AI Overviews Rolling Out in the U.S. The first phase of this expansion is launching in the United States, with AI Overviews gaining improved functionality. This enhancement enables Google Search to tackle more complex queries, including coding and advanced math problems. While there’s no confirmed timeline for its availability in other regions, such features typically expand to Europe and beyond over time. The Impact of Gemini 2.0 Gemini 2.0 brings faster, higher-quality AI responses, making AI-driven search more effective in handling nuanced and sophisticated questions. The deeper integration of AI into search marks a substantial step toward a more intuitive and powerful search experience. AI-Only Search: A Possible Future? Google is also experimenting with an AI-first search model, which could shift the traditional search experience away from classic blue links and toward AI-generated summaries. This would fundamentally change the way users interact with search engines. However, given how ingrained traditional search behavior is, the shift to an AI-dominated search model remains uncertain. AI Mode in Search Labs Further advancing its AI search capabilities, Google is introducing AI Mode within Search Labs. Designed for complex, multi-part queries, AI Mode leverages advanced reasoning to consolidate what would have previously required multiple searches into a single, AI-generated response. Initially, AI Mode will be available exclusively to Google One AI Premium subscribers through the Labs program. This phased rollout allows Google to gather feedback and refine the feature before making it widely available. As AI continues to reshape search, Google’s latest innovations signal a shift toward a more intelligent, context-aware search experience—one that may redefine how we find information online. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 12, 2025in Google
11Mar

Salesforce Introduces AgentExchange

Salesforce Introduces AgentExchange: Empowering Businesses with AI-Driven Digital Labor Salesforce has unveiled AgentExchange, a marketplace embedded directly within the Salesforce platform, designed to simplify the way businesses, developers, and partners build, discover, and monetize AI-driven digital labor. This launch extends Salesforce’s Agentforce ecosystem, reinforcing the company’s commitment to accelerating enterprise adoption of advanced, role-based AI agents. Shifting to Role-Based AI AgentExchange arrives as industries shift from task-based automation to standardized, role-based AI agents. These intelligent agents leverage structured metadata to autonomously perform specific business roles, enhancing operational efficiency and scalability. Salesforce joins key industry players like Workday, SAP, and ServiceNow in shaping this emerging landscape. “Agentic AI is transforming the way businesses operate. Traditional software is rigid — it’s clicks, code, and logic. With AI agents, solutions can now observe, reason, and act autonomously, driving digital labor that expands organizational capabilities.” Adam Evans, EVP and GM of Salesforce AI Marketplace Capabilities and Partner Ecosystem AgentExchange launches with over 200 trusted partners, including Google Cloud, DocuSign, Box, and Workday, offering a variety of secure and compliant pre-built components such as: Real-World Use Cases AgentExchange supports solutions across various industries: Metadata-Driven Integration A core feature of AgentExchange is its metadata standardization, which defines agent capabilities, interfaces, and compliance requirements. This metadata-centric approach simplifies integration, reduces deployment complexity, and empowers organizations to adopt AI agents with confidence. Competitive Edge and CRM-Centric Focus Salesforce distinguishes AgentExchange with its strong focus on CRM-related, customer-facing solutions. While competitors like Workday emphasize HR automation and SAP covers broader ERP functions, Salesforce leverages real-time customer data and Slack integration to enhance front-office interactions. This CRM-centric focus equips businesses with tools to improve customer experience management, further differentiating Salesforce in the AI-driven digital labor space. Enabling an Open AI Ecosystem AgentExchange signals Salesforce’s commitment to fostering an open AI ecosystem, empowering partners, developers, and the Agentblazer community to build and monetize AI-driven solutions. The marketplace includes hundreds of vetted solutions designed to accelerate the adoption of intelligent digital labor across industries. Mark Stewart, CEO and President of Goodyear, shared his excitement about the platform: “AgentExchange offers ready-to-use solutions that enhance our speed, efficiency, and customer experience. This innovation aligns perfectly with Goodyear’s focus on delivering value to our customers.” Partner Innovations Key partners are already contributing to AgentExchange with impactful solutions: Driving the Future of Digital Labor Brian Landsman, EVP & GM of Global Business Development & Partnerships at Salesforce, connected AgentExchange to Salesforce’s AppExchange legacy: “When we launched AppExchange in 2005, we unlocked new value for our platform. AgentExchange now builds on that success, inviting partners, startups, and developers to shape the future of digital labor.” AgentExchange empowers organizations to seamlessly adopt trusted AI solutions, enabling developers to leverage partner expertise and integrate industry-specific capabilities directly within Salesforce. This innovative marketplace positions Salesforce as a leader in AI-driven digital transformation, driving efficiency, innovation, and growth in the evolving digital labor economy. Let Tectonic guide you though this exciting new release aimed to get you up and running even faster with Agentforce! Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 11, 2025in AgentExchange, Agentic AI, Data, Enterprise, Google, Salesforce
agents and copilots
11Mar

When to Use AI Agents and Copilots

Do Organizations Need AI Agents or Copilots for These Use Cases? Organizations often explore AI solutions for specific operational needs. Three primary AI use cases include: The question arises: Which AI tools best suit these needs? Should an organization invest in a high-end AI subscription, such as ChatGPT Pro with the Operator agent ($200/month), or opt for ChatGPT Plus with the o3-mini reasoning model and copilot features, such as memory and custom GPTs? AI Tool Selection Criteria When evaluating AI agents versus AI copilots, key considerations include: A. The time and effort required to articulate the problem for the AI. B. The level of control preferred in the problem-solving process. C. The importance of achieving the most optimal outcome. Use Case 1: Shopping AI Agents Many existing AI shopping solutions are labeled as agents, but they do not exhibit true autonomy. Instead, they serve as assistants with limited capabilities. For instance, Perplexity’s “Shop Like a Pro” assists with selecting products but depends on vendor integration for completing purchases, rather than executing transactions autonomously. Despite current limitations, some users create their own AI shopping agents by integrating browser-based AI tools with no-code automation platforms like n8n, Zapier, or Make.com. These custom-built agents offer greater autonomy and versatility than off-the-shelf solutions. However, the need for AI agents in shopping remains debatable. The act of shopping often provides a sense of anticipation and engagement, which a fully autonomous AI agent could eliminate. In contrast, AI copilots can enhance the experience by reducing time investment while preserving user involvement. The same applies to vacation planning—while an AI agent could book optimal flights and accommodations, many users prefer a guided approach to maintain a sense of anticipation and control. Moreover, financial transactions should not be fully entrusted to AI agents due to potential risks. AI-powered form-filling can be beneficial, but human oversight remains essential. The decision to use an AI agent for shopping depends on how much involvement users wish to retain in the process. Use Case 2: Executive AI Assistant Many professionals seek AI-driven solutions to handle routine tasks such as scheduling, reminders, and email management. However, current AI assistants lack full autonomy in managing these activities comprehensively. For instance, Google’s Gemini Advanced provides AI-powered features in Google Calendar and Gmail, but its integration remains limited—requiring manual activation and lacking full interconnectivity between tasks. Similarly, Apple Intelligence offers fragmented AI functionalities rather than a seamless assistant experience. Some technically inclined users have developed custom executive assistants using automation tools. However, for the broader market, fully functional, user-friendly AI executive assistants are still in development by major tech companies. When evaluating the necessity of AI agents in routine tasks, the key factors include: Use Case 3: AI Research Deep research AI agents have significantly outperformed traditional search methods in both speed and accuracy, provided sufficient relevant data is available. Advanced AI-driven research tools, such as Perplexity Deep Research and Grok 3 DeepSearch, have demonstrated superior efficiency compared to manual search. Despite their capabilities, these agents often require refinement in their responses. AI-generated reports may focus on irrelevant details without proper guidance. However, many researchers find that leveraging AI significantly enhances the efficiency and breadth of their work. For organizations, the decision to utilize AI agents for research depends on their need for: While AI agents remain imperfect, they are rapidly evolving, particularly in deep research applications. As technology advances, their ability to support decision-making processes will likely continue to expand. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 11, 2025in AI Tools, Data, Google, Technology
10Mar

Goodbye Skype

Microsoft to Shut Down Skype After 20 Years Microsoft has announced plans to shut down Skype on May 5, marking the end of a 20-year journey for the once-pioneering internet communications platform. This may be the perfect time to re-evaluate your internal comms tools. Launched in 2003, Skype revolutionized online communication by enabling free audio and video calls worldwide. The platform quickly gained popularity, amassing hundreds of millions of users and even becoming a verb — people would often say they would “Skype” someone. The Rise and Fall of Skype Founded by Swede Niklas Zennström and Dane Janus Friis, with software developed by Estonians Ahti Heinla, Priit Kasesalu, Jaan Tallinn, and Toivo Annus, Skype was initially based in Luxembourg. Its innovative approach to online communication made it a household name in the early 2000s. In 2011, Microsoft acquired Skype for $8.5 billion, outbidding tech giants like Google and Facebook. At the time, Skype had around 150 million active users. However, by 2020, the user base had dropped to 23 million, though the platform experienced a temporary resurgence during the pandemic. Decline Amid Growing Competition Microsoft faced challenges integrating Skype into its ecosystem. In 2017, the company launched Teams, a collaboration platform, which gradually overshadowed Skype. Additionally, growing competition from Apple’s FaceTime, Google’s communication apps, Zoom, and Salesforce-owned Slack further diminished Skype’s prominence. Transition to Teams Microsoft confirmed that Skype users will be transitioned to Teams, with all chats and contacts migrating automatically. The company emphasized that there would be no job losses resulting from the shutdown and highlighted Teams’ growing popularity, which currently boasts 320 million monthly active users. While Microsoft did not disclose Skype’s current user count, the company stated that it remains committed to supporting seamless communication through Teams. This shift signifies the end of an era for Skype but reinforces Microsoft’s focus on integrating advanced communication tools into its product suite. The closure of Skype marks the conclusion of a significant chapter in internet communication, as users transition to more modern, collaborative platforms like Slack. There are many alternatives to Skype, including Viber, Zoom, Slack, Microsoft Teams, Jitsi, WhatsA[[, Google Meet, FaceTime, and Google Hangouts. For sending video messages check out Marco Polo.  Features Other considerations Learn how Slack elevates team performance here Learn how Slack integrates with Salesforce here To migrate to Salesforce Slack, or discuss your options, contact Tectonic today. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 10, 2025in Google, Salesforce

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