Alation Archives - gettectonic.com
14Apr

Tectonic Shook Things Up at AgentForce World Tour in Denver

The Tectonic team attended Salesforce’s Denver AgentForce World Tour this week. It was a great experience to develop our AgentBlazer team and a true seismic time was had by all! AI Agents were the topic of conversation and kept things lively! One almost expected to meet an Agentic Robot around every corner. We were all excited to network with Salesforce, customers, and partners alike. Key Takeaways Autonomous AI agents can understand and interpret customers’ questions using natural language, with minimal human intervention. Here’s what you need to know. The AI Assistant Revolution: Empowering Every Employee Imagine if every person in your company—from the CEO to frontline employees—had a dedicated assistant at their fingertips. An assistant who:✔ Knows your customers inside out✔ Delivers instant, data-driven insights✔ Helps prioritize next best actions Thanks to AI agents, this future is already here—and it’s transforming how businesses operate. How AI Agents Are Supercharging Teams 1. Instant Insights, No Manual Work 🔹 Generative AI agents analyze your trusted customer data in seconds—eliminating hours of manual research.🔹 Sales, service, and marketing teams get real-time recommendations, allowing them to focus on high-impact work. 2. Scaling Teams Without Adding Headcount 🔹 AI agents handle routine tasks—customer inquiries, data entry, meeting prep—freeing employees for strategic work.🔹 Quickly ramp up productivity during peak demand without overburdening staff. 3. Proactive Problem-Solving 🔹 AI doesn’t just react—it predicts.🔹 Identifies risks, suggests optimizations, and prevents small issues from becoming big ones. 4. Personalized Support for Every Role 🔹 Sales: AI suggests the best leads, crafts follow-ups, and forecasts deals.🔹 Service: Resolves common cases instantly, escalating only when needed.🔹 Leadership: Delivers real-time business insights for faster decisions. The Future of Work Is AI-Augmented AI agents aren’t replacing humans—they’re empowering them. By automating the mundane and enhancing decision-making, they help teams:✅ Work smarter, not harder✅ Deliver better customer experiences✅ Stay ahead of the competition The question isn’t if your company should adopt AI agents—it’s how soon you can start leveraging them. Tectonic, a trusted Salesforce partner, is here to help. Ready to explore AI-powered productivity? Let’s talk about the right AI strategy for your business. AI Agents: Your Intelligent Digital Workforce What Is an AI Agent? An AI agent is an autonomous artificial intelligence system that understands, processes, and responds to customer inquiries—without human intervention. Built using platforms like Agentforce, these agents leverage machine learning (ML) and natural language processing (NLP) to handle tasks ranging from simple FAQs to complex problem-solving. Unlike traditional AI, which requires manual programming for each task, AI agents continuously learn and improve from interactions, becoming smarter over time. How Do AI Agents Work? AI agents operate through a seamless four-step process: 💡 Result? Faster resolutions, happier customers, and more efficient teams. 6 Game-Changing Benefits of AI Agents Feature Impact 1. 24/7 Availability Instant support across time zones. 2. Hyper-Efficiency Handle thousands of queries simultaneously—no wait times. 3. Smarter Escalations Auto-route complex cases to the best-suited human agent. 4. Personalized Experiences Tailor responses using real-time customer data. 5. Scalability Grow support capacity without hiring more staff. 6. Data-Backed Insights Uncover trends to optimize operations & CX. “72% of companies already deploy AI—with generative AI adoption accelerating.” – McKinsey AI Agents in Action: Industry Use Cases 🏦 Finance ✔ Personalized wealth advice based on spending habits✔ Auto-summarize client cases for faster resolutions 🏭 Manufacturing ✔ Predict equipment failures before they happen✔ Optimize supply chain decisions with real-time data 🛒 Retail & Consumer Goods ✔ Smart inventory tracking (e.g., flagging stock discrepancies)✔ AI-generated promo content for targeted campaigns 🚗 Automotive ✔ Proactive vehicle maintenance alerts via telematics✔ Dynamic dealership promotions to boost sales 🏥 Healthcare ✔ Automated patient scheduling with the right specialist✔ Clinical trial matching using AI-driven eligibility checks Join the AI Revolution with Agentforce AI agents aren’t just tools—they’re productivity multipliers that help teams:✅ Work faster with automated workflows✅ Serve customers better with personalized AI assistance✅ Stay ahead with predictive insights 📈 Ready to transform your business? Connect with Tectonic today, or check out our Agentforce Quickstart offering. Connect with the Tectonic Agentforce team and launch your Agentic Revolution. AI Agents: The Ultimate Productivity Multiplier for Every Team AI agents aren’t just transforming customer service—they’re revolutionizing how every department operates. From 24/7 customer support to hyper-personalized marketing campaigns, AI agents help teams work smarter, move faster, and deliver exceptional experiences. Here’s how AI agents supercharge key business functions: 🤝 AI Agents for Service Teams Never miss a customer inquiry—even at 2 AM.✔ Instant, 24/7 support across email, chat, and social media✔ Smart escalation—AI routes complex cases to human agents with full context✔ Brand-consistent responses powered by your CRM data 🔹 With Agentforce for Service, deploy AI agents in minutes using prebuilt templates—or customize them for your unique needs. 💰 AI Agents for Sales Teams Turn every lead into a conversation—automatically.✔ Autonomous lead engagement—AI answers product questions & books meetings✔ Always-on SDRs—Agentforce Sales Development Reps qualify leads 24/7✔ Controlled escalation—Set rules for when & how AI hands off to your team 🔹 No more missed opportunities—AI keeps your pipeline full while your reps focus on closing. 🛍️ AI Agents for Commerce Teams Personal shopping assistants—powered by AI.✔ Smart product recommendations based on browsing & purchase history✔ Guided shopping experiences—AI helps customers find what they need faster✔ Omnichannel support—Engage shoppers on your site, WhatsApp, and more 🔹 Boost conversions with AI that acts like your best sales associate—for every customer. 📢 AI Agents for Marketing Teams Campaigns that write, optimize, and improve themselves.✔ AI-generated campaign briefs—audience targeting, messaging & KPIs✔ Automated content creation—draft ads, emails & social posts in your brand voice✔ Performance optimization—AI analyzes results & suggests improvements 🔹 With Agentforce Campaigns, launch better campaigns in hours—not weeks. Why AI Agents? The Bottom Line ✅ Scale operations without scaling headcount✅ Deliver instant, personalized experiences 24/7✅ Free your team to focus on high-value work “Companies using AI agents see 40% faster response times and 30% higher customer satisfaction.” Ready to deploy your AI workforce? See how Agentforce can transform your business #FutureOfWork

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April 14, 2025in Agentforce Platform, Artificial Intelligence, Data, Generative AI, Salesforce0 Comments
Optimizing AI Agent Performance Through Strategic Data Management
11Apr

Optimizing AI Agent Performance Through Strategic Data Management

The Foundation of Effective AI Implementation The success of your Agentforce deployment directly correlates with your organization’s data maturity. While comprehensive, well-structured data yields optimal AI performance, businesses at any stage of their data journey can benefit from implementing AI agents. The key lies in adopting a strategic, phased approach that delivers measurable impact while building toward long-term data excellence. Building a Robust Data Infrastructure Data Quality Optimization The principle of “garbage in, garbage out” remains particularly relevant for AI systems. To ensure high-quality outputs: Data Unification Strategy Creating a centralized knowledge ecosystem enables AI agents to deliver consistent, informed responses. Essential integration points include: Platforms like Unified Knowledge facilitate seamless consolidation of disparate data sources into Salesforce, enhancing AI grounding effectiveness. Knowledge Base Development for AI Excellence Effective AI Grounding Techniques Retrieval-augmented generation (RAG) transforms your knowledge base into a powerful AI enabler by: Knowledge Base Optimization To maximize AI agent performance: Continuous Knowledge Improvement Cycle Proactive Knowledge Maintenance Implement these practices to sustain AI relevance: Feedback-Driven Enhancement Leverage multiple feedback channels to identify knowledge gaps: Strategic Implementation Framework Focused Use Case Development Begin with high-impact scenarios by: Phased Deployment Methodology Channel Optimization Strategy Alignment with Business Objectives Tailor channel strategy to organizational priorities: Customer Journey Mapping Human-AI Collaboration Model Workforce Transformation Seamless Transition Protocols Performance Measurement Framework Key Success Metrics By implementing this comprehensive framework, organizations can systematically enhance their AI capabilities while delivering immediate business value and building toward increasingly sophisticated implementations. The approach balances quick wins with long-term transformation, ensuring sustainable success in AI-powered customer service. 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 11, 2025in Agentforce Platform, Data, Salesforce, Unified Knowledge0 Comments
Commerce Cloud and Agentic AI
09Apr

5 Mindset Shifts That Revolutionized Salesforce Help with AI

When Salesforce challenged us to reinvent our help portal in just five days, we didn’t just redesign a UI—we reimagined how AI could transform customer support. Here’s how we turned Salesforce Help into an intuitive, agent-driven experience—and the key mindset shifts that made it possible. The Challenge: A Help Portal at Scale Salesforce Help serves 60 million annual visitors across 750,000+ articles in 18 languages. Yet, despite this vast knowledge base: Our mission? Reduce friction, boost self-service, and make help feel human—fast. From Static Portal to AI-Powered Guide: 5 Key Shifts 1. From Navigation to Conversation Old Approach: New Mindset: Result: Faster resolutions, fewer drop-offs. 2. From Content Management to Knowledge Engineering Old Approach: New Mindset: Result: Smarter self-service, fewer support tickets. 3. From Siloed Teams to Rapid Collaboration Old Approach: New Mindset: Result: A full UI overhaul in 5 days. 4. From Rigid UI to Adaptive Engagement Old Approach: New Mindset: Result: Feels like a helpful conversation, not a maze. 5. From Feature-Centric to Outcome-Driven Old Approach: New Mindset: Result: Cleaner, faster, higher adoption. The Impact: A Blueprint for AI-Powered Help Watch the full story: Salesforce+ Video Your Turn: How Will You Rethink Support? AI isn’t just about adding chatbots—it’s about redesigning experiences around how people actually seek help. Ask yourself: Less is more. Clarity is king. And sometimes, a 5-day sprint can change everything. 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 9, 2025in Agentforce Platform, Data, Google, Salesforce0 Comments
Agentforce to the Team
08Apr

Agentforce Explained

What Is Agentforce? As a kid, you probably wished for a robot to handle chores like washing dishes or tidying your room so you could spend more time riding bikes or playing video games. Now, as an adult in the business world, that wish hasn’t changed—you still want something to handle tedious tasks and improve customer interactions. Enter Agentforce. Agentforce seamlessly integrates AI-powered agents into your workflows, allowing them to manage tasks for employees and customers. These agents understand your business and can autonomously handle a range of responsibilities, making work more efficient and engaging. How Does Agentforce Work? Agentforce is a proactive, conversational AI solution built on the Salesforce Platform. It consists of autonomous AI agents that can interpret inquiries, take actions, and adapt dynamically with minimal or no human intervention. Think of them as digital teammates that learn, respond, and execute tasks efficiently within your predefined guidelines. Key Components of Agentforce Data Like employees, AI agents need information to perform effectively. With Agentforce, you define the data and access controls available to your agents. They can utilize structured and unstructured data from knowledge articles, CRM records, and external sources to complete their tasks securely. Reasoning The core intelligence behind each agent is its reasoning engine, which enables it to comprehend user intent, navigate complex interactions, and make informed decisions. Salesforce’s Atlas Reasoning Engine powers this capability, ensuring agents can adapt as conversations evolve. Actions Actions are the specific tasks an agent performs, such as initiating a product return, generating sales emails, or accessing external APIs. These actions can be customized or created from scratch to align with your business processes. Topics Topics define what an agent is capable of handling. For example, an Order Management topic might include actions like tracking orders or processing returns. Natural language instructions assigned to topics help agents execute the right actions at the right time. Channels Agentforce can be deployed across multiple communication platforms, including Salesforce, Slack, text messaging, and email. Agents can also integrate workflows across channels for a seamless experience. How Agentforce Gets Work Done When a user submits a request, the agent identifies the most relevant topic and initiates corresponding actions. It might retrieve customer details, book appointments, or search your knowledge base for solutions. If additional information is needed, the agent can request clarification or escalate the issue when necessary. What Jobs Can Agentforce Perform? Agentforce offers both standard agents and custom agents, catering to different business needs. Standard Agents Agentforce includes a library of ready-to-use AI agents designed for various roles. These agents come pre-configured with relevant topics and actions and integrate seamlessly with specific Salesforce clouds and licenses. Some examples include: Custom Agents If no standard agent fits your needs, you can create a custom agent using natural language commands. Simply describe the job, and Agentforce will generate relevant topics and instructions based on its extensive library of actions and workflows. For instance, you can configure an agent to review travel expenses or manage internal approvals. Note: The standard agents available depend on your Salesforce licenses. Check if a standard agent meets your needs before creating a custom one. Where Can You Use Agentforce? If you have the necessary Agentforce permissions, you can configure agents for both employees and customers. Employees can interact with agents directly within Salesforce, Slack, or mobile apps for tasks like summarizing account details or reviewing cases. Customers can engage with agents via websites or experience sites for support, scheduling, and self-service interactions. Agents and Trust Salesforce prioritizes security, and Agentforce is built with the Einstein Trust Layer to mitigate AI risks. This ensures: The Agentforce Testing Center allows you to preview and refine agent responses, ensuring reliability and security before deployment. Wrap-Up Agentforce brings the power of AI-driven automation to your business, enabling digital teammates that assist with tasks, improve efficiency, and enhance customer interactions. By integrating natural language processing, intelligent reasoning, and secure data handling, Agentforce helps businesses scale operations while maintaining trust and control. Whether you use standard or custom agents, the possibilities for automation are limitless. 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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April 8, 2025in Agentforce Platform, Agentic AI, Data0 Comments
ai arms race
15Mar

The Two Types of Voice AI

The Two Types of Voice AI: Assistive AI vs. Autonomous AI Voice AI is transforming customer service by automating tasks, enhancing productivity, and improving customer satisfaction. But not all Voice AI functions the same way — there are two primary types: Assistive AI and Autonomous AI. Understanding their unique roles can help businesses deploy the right solution to optimize efficiency, reduce costs, and deliver exceptional customer experiences. Assistive AI: Empowering Service Representatives Assistive AI works alongside human service representatives, enhancing their efficiency by providing real-time guidance and support during live interactions. Rather than replacing human agents, Assistive AI streamlines workflows, surfaces relevant information, and handles routine tasks — allowing service reps to resolve issues faster and more accurately. Here’s how Assistive AI transforms the customer service experience: 🚀 Real-Time Call Guidance As a customer describes their issue, Assistive AI follows the live call transcript, instantly surfacing relevant knowledge articles, past interaction history, and next-best actions for the agent. This eliminates the need for reps to manually search for information, reducing call times and improving resolution accuracy. For example, if a customer calls to reschedule a hotel stay, Assistive AI can immediately: The result? Faster resolutions and happier customers. 📝 Automated Call Summaries Generative AI capabilities allow Assistive AI to automatically summarize calls once they conclude. Instead of requiring agents to manually document case notes, Assistive AI generates: This significantly reduces post-call administrative work and ensures accurate case documentation. 🎯 Next-Best Action Recommendations Assistive AI can analyze customer sentiment and intent during a call. For example: This proactive support helps agents resolve issues faster, reduce churn, and improve overall customer satisfaction. 📊 Supervisor Alerts Based on Sentiment Assistive AI doesn’t just assist agents — it also helps supervisors. If Assistive AI detects a sharp decline in customer sentiment (such as anger, frustration, or confusion), it can: This prevents escalations from spiraling out of control, protecting the customer experience. ✅ Key Benefits of Assistive AI: Assistive AI empowers human agents — making them smarter, faster, and more effective at delivering outstanding customer service. Autonomous AI: Self-Sufficient Customer Service Agents While Assistive AI works alongside human agents, Autonomous AI can independently handle customer interactions without requiring human intervention. Autonomous AI acts as a fully capable, virtual agent capable of resolving complex requests, completing transactions, and delivering personalized service — all in real-time. This next generation of Voice AI is transforming how businesses handle high call volumes, reducing costs while delivering faster, more accurate service. 💬 Conversational, Human-Like Interactions Unlike traditional IVR systems, Autonomous AI engages in natural, human-like conversations without rigid menu trees or button prompts. Customers can speak in their own words, and the AI agent will: For example: This level of automation significantly reduces operational costs and enhances customer satisfaction. 🔄 Task Execution Across Systems Autonomous AI is not just conversational — it’s actionable. It can directly integrate with: This enables Autonomous AI to complete complex tasks like: No hold times. No transfers. Just fast, efficient resolutions. 💡 Smart Escalation for Complex Cases If a task exceeds the AI agent’s capabilities, it can automatically: This seamless handoff ensures high-quality service without frustrating the customer. 🧠 Continuous Learning and Improvement Like Assistive AI, Autonomous AI continuously learns from customer interactions. Over time, it improves its accuracy, expands its task-handling capabilities, and becomes more effective at resolving complex issues — reducing human intervention further. ✅ Key Benefits of Autonomous AI: Autonomous AI transforms customer service by automating high-volume interactions, allowing human agents to focus on high-value, complex cases. The Power of Voice AI: Assistive + Autonomous Working Together The true power of Voice AI lies in combining Assistive AI and Autonomous AI. Together, they create an optimal balance of automation and human support: Additional Business Benefits of Voice AI 📈 Scalability Without Increasing Costs Voice AI allows businesses to handle thousands of customer calls simultaneously without expanding headcount. This ensures consistent, 24/7 support while keeping operational costs low. 💵 Revenue Growth Through Personalization By analyzing customer history and real-time sentiment, Voice AI can offer: This enables businesses to not only resolve issues but also drive revenue growth. 📊 Data-Driven Insights for Continuous Improvement Voice AI captures and analyzes customer interactions to identify: These insights empower businesses to proactively enhance their products, services, and overall customer experience. 🌐 Enhanced Accessibility for Diverse Customers Voice AI also improves accessibility by enabling voice-based interactions for customers with disabilities or language barriers, ensuring an inclusive support experience. The Future of Customer Service is Voice AI The days of clunky IVR systems and long hold times are over. Voice AI — both Assistive and Autonomous — is revolutionizing customer service by enabling: Forward-thinking businesses that embrace Voice AI now will not only enhance customer experiences but also drive operational efficiency, reduce costs, and increase revenue. ✅ Ready to transform your contact center with Voice AI?Discover how Assistive and Autonomous AI can redefine your customer service — improving satisfaction, reducing costs, and unlocking new growth opportunities. 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 15, 2025in Data, Generative AI0 Comments
AI-Driven Salesforce Explained
14Mar

AI-Driven Salesforce Explained

AI-driven Salesforce refers to the integration of Artificial Intelligence (AI) into Salesforce’s Customer Relationship Management (CRM) platform to enhance its capabilities, automate processes, and deliver smarter, data-driven insights. Salesforce has embedded AI into its ecosystem through Salesforce Einstein, its proprietary AI technology. Here’s a breakdown of how AI drives Salesforce: 1. What is AI-Driven Salesforce? AI-driven Salesforce leverages machine learning, natural language processing (NLP), predictive analytics, and automation to help businesses make smarter decisions, improve customer experiences, and streamline operations. It transforms raw data into actionable insights and automates repetitive tasks, enabling teams to focus on strategic activities. 2. Key Features of AI-Driven Salesforce a) Salesforce Einstein Einstein is the AI layer built into Salesforce that powers intelligent features across the platform. Key capabilities include: b) AI-Powered Insights c) Personalization d) Automation e) Predictive Intelligence 3. Benefits of AI-Driven Salesforce a) Enhanced Customer Experience b) Increased Efficiency c) Data-Driven Decision Making d) Improved Sales Performance e) Scalability 4. Use Cases of AI-Driven Salesforce a) Sales b) Marketing c) Customer Service d) Commerce 5. The Future of AI in Salesforce In summary, AI-driven Salesforce empowers businesses to work smarter, not harder, by leveraging data and automation to deliver better customer experiences and drive growth. It’s a game-changer for sales, marketing, service, and beyond! Content updated January 2025. 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 Artificial Intelligence, Data, Salesforce, Salesforce Einstein, Technology0 Comments
AI Agents
08Mar

AI Agents in Action: Real-World Applications

The true potential of AI agents lies in their practical use across industries. Let’s explore how different sectors are leveraging AI agents to solve real challenges. Software Development The shift from simple code completion to autonomous software development highlights AI’s expanding role in engineering. While GitHub Copilot introduced real-time coding assistance in 2021, today’s AI agents—like Devin—can manage end-to-end development, from setting up environments to deployment. Multi-agent frameworks, such as MetaGPT, showcase how specialized AI agents collaborate effectively: While AI agents lack human limitations, this shift raises fundamental questions about development practices shaped over decades. AI excels at tasks like prototyping and automated testing, but the true opportunity lies in rethinking software development itself—not just making existing processes faster. This transformation is already affecting hiring trends. Salesforce, for example, announced it will not hire new software engineers in 2025, citing a 30% productivity increase from AI-driven development. Meanwhile, Meta CEO Mark Zuckerberg predicts that by 2025, AI will reach the level of mid-level software engineers, capable of generating production-ready code. However, real-world tests highlight limitations. While Devin performs well on isolated tasks like API integrations, it struggles with complex development projects. In one evaluation, Devin successfully completed only 3 out of 20 full-stack tasks. In contrast, developer-driven workflows using tools like Cursor have proven more reliable, suggesting that AI agents are best used as collaborators rather than full replacements. Customer Service The evolution from basic chatbots to sophisticated AI service agents marks one of the most successful AI deployments to date. Research by Sierra shows that modern AI agents can handle complex tasks—such as flight rebookings and multi-step refunds—previously requiring multiple human agents, all while maintaining natural conversation flow. Key capabilities include: However, challenges remain, particularly in handling policy exceptions and emotionally sensitive situations. Many companies address this by limiting AI agents to approved knowledge sources and implementing clear escalation protocols. The most effective approach in production environments has been a hybrid model, where AI agents handle routine tasks and escalate complex cases to human staff. Sales & Marketing AI agents are now playing a critical role in structured sales and marketing workflows, such as lead qualification, meeting scheduling, and campaign analytics. These agents integrate seamlessly with CRM platforms and communication tools while adhering to business rules. For example, Salesforce’s Agentforce processes customer interactions, maintains conversation history, and escalates complex inquiries when necessary. 1. Sales Development 2. Marketing Operations Core capabilities: However, implementing AI in sales and marketing presents challenges: A hybrid approach—where AI manages routine tasks and data-driven decisions while humans focus on relationship-building and strategy—has proven most effective. Legal Services AI agents are also transforming the legal industry by processing complex documents and maintaining compliance across jurisdictions. Systems like Harvey can break down multi-month projects, such as S-1 filings, into structured workflows while ensuring regulatory compliance. Key capabilities: However, AI-assisted legal work faces significant challenges. Validation and liability remain critical concerns—AI-generated outputs require human review, and the legal responsibility for AI-assisted decisions is still unresolved. While AI excels at document processing and legal research, strategic decisions remain firmly in human hands. Final Thoughts Across industries, AI agents are proving their value in automation, efficiency, and data-driven decision-making. However, fully autonomous systems are not yet replacing human expertise—instead, the most successful implementations involve AI-human collaboration, where agents handle repetitive tasks while humans oversee complex decision-making. As AI technology continues to evolve, businesses must strike the right balance between automation, control, and human oversight to maximize its potential. 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 8, 2025in Data, Technology0 Comments
Autonomous AI Service Agents
06Mar

Developing AI Agents

Developing AI Agents: A Practical Guide Why AI Agent Development is Different Building AI agents requires an iterative, hands-on approach rather than traditional waterfall planning. Unlike conventional software projects, you can’t fully design an agent in documents before building – you need to prototype, test, and refine continuously. Key Principles: Designing the User Experience Take a user-centered approach to ensure your agent delivers value: Protip: Test different UX approaches in sandbox before finalizing channel configurations. Technical Implementation Guide 1. Data Strategy 2. Channel & Routing Configuration 3. Security Framework For Employee-Facing Agents: For Customer-Facing Agents: Agent User Permissions: Testing Tip: Always debug flows running as the agent user to catch permission issues. Salesforce Environment Considerations Requirements Checklist Integration Planning Implementation Best Practices Remember: Successful AI agent development balances careful planning with agile experimentation. The most effective agents evolve through real-world testing and refinement. 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 6, 2025in Agentforce Platform, Data, Generative AI, Salesforce
23Feb

Transforming Customer Service with Voice AI

Transforming Customer Service with Voice AI: Moving Beyond Outdated IVR Systems When customers need support, they still overwhelmingly turn to the phone — voice is used in 77% of all customer interactions. Despite the rise of digital channels, the simplicity and immediacy of speaking to a human remain unmatched, especially for complex or time-sensitive issues. Yet, for many businesses, phone support remains tied to outdated Interactive Voice Response (IVR) systems, which often frustrate customers instead of resolving their issues. In fact, 68% of customers report dissatisfaction with traditional IVR systems, citing their inability to handle complex requests, rigid menu structures, and lack of personalization. The result? Customers frequently press “0” just to bypass the system and speak with a human agent — negating the very purpose of automation. But now, Voice AI is changing that dynamic. Unlike traditional IVRs, Voice AI leverages conversational intelligence to engage customers in natural, human-like dialogues. It understands context, processes complex requests, and delivers personalized solutions — all while learning and improving over time. The result is faster resolutions, higher customer satisfaction, and a dramatically reduced workload for human agents. Why Traditional IVR Systems Fall Short Despite their widespread use, IVR systems are riddled with limitations that negatively impact both customer experience and operational efficiency. 1. High Call Deflection Rates Traditional IVR systems often lead to high call deflection rates, where customers immediately press “0” to bypass the system and speak to a human. This happens because menu-based prompts rarely address complex queries, forcing customers through frustrating navigation loops. 2. Rigid Menu Structures IVRs operate through predefined, menu-driven interactions, limiting customers to a small set of options. This structure fails to accommodate complex, multi-faceted issues, resulting in customers being transferred between departments or disconnected mid-call. 3. Poor Integration with Business Systems Many IVRs lack seamless integration with CRM, billing, or order management systems, preventing agents from accessing real-time data. As a result, customers are often forced to repeat information or receive outdated or inaccurate responses. 4. Limited Problem-Solving Capabilities Traditional IVRs are only capable of handling simple, repetitive tasks — like checking an account balance or resetting a password. For complex issues that require critical thinking, IVRs fall short, ultimately requiring human intervention. 5. Lack of Personalization IVRs treat every customer interaction the same. Without access to customer history or context, the experience feels generic and impersonal, leaving customers dissatisfied. Voice AI: The New Standard for Customer Service Voice AI transforms phone-based support by enabling natural, human-like conversations. Built on large language models (LLMs) and conversational AI, Voice AI can listen, understand, and resolve customer requests — in real time — without requiring human assistance. Here’s how Voice AI elevates the customer experience: ✅ Conversational Interactions (Not Menu-Driven) Unlike IVRs, Voice AI agents engage in fluid, natural dialogues with customers. Instead of listening to long menu prompts, customers can simply state their problem in their own words, and the AI will interpret, process, and respond accordingly. For example, a customer might say:👉 “I need to change my shipping address.”The Voice AI will: No menus. No buttons. Just fast, human-like conversations. ✅ Real-Time Data Access Voice AI integrates seamlessly with CRM platforms, order management systems, and billing tools, allowing it to pull real-time customer information. This means: This significantly reduces resolution times and minimizes the need for human escalation. ✅ Smart Escalation for Complex Cases When Voice AI encounters an issue it cannot resolve, it automatically escalates the call to a live agent — with full context of the conversation. This eliminates the need for customers to repeat themselves and ensures a seamless handoff to human support. Additionally, Voice AI can analyze customer sentiment, detecting frustration or urgency. For example: ✅ Continuous Learning and Improvement Unlike IVRs, Voice AI gets smarter over time. Every interaction feeds the AI model, allowing it to improve response accuracy, anticipate common issues, and enhance the overall customer experience. This self-learning capability reduces the workload on human agents while continually improving resolution rates. Key Benefits of Voice AI in Customer Service 🚀 Faster Resolution Times By eliminating menu-based navigation and enabling natural conversations, Voice AI resolves common customer issues in minutes, not hours. 📉 Reduced Call Transfers Voice AI minimizes the need for customers to repeat themselves or get transferred between departments, significantly improving first-call resolution rates. 🎯 Personalized Customer Experiences With access to customer history and real-time data, Voice AI can offer tailored solutions — enhancing customer satisfaction and building long-term loyalty. 📊 Scalable, 24/7 Support Unlike human agents, Voice AI can handle hundreds of concurrent calls at any hour of the day, ensuring consistent, high-quality support without increasing operational costs. Real-World Use Cases of Voice AI 1. Customer Service Automation Forward-thinking companies are using Voice AI agents to handle routine tasks like: But beyond routine tasks, Voice AI excels at resolving complex issues, like: This dramatically reduces wait times and call volumes, while ensuring faster and more effective resolutions. 2. Sentiment Analysis & Real-Time Insights Voice AI can analyze the tone and sentiment of a caller’s voice to identify frustration, urgency, or dissatisfaction. In real-time, it can: 3. Multilingual Support Voice AI supports multiple languages, allowing businesses to scale their customer service globally. Whether the caller speaks English, Spanish, or French, Voice AI can understand, respond, and resolve issues without language barriers. The Future of Customer Service is Voice AI Customer expectations have shifted — they want fast, human-like support without long wait times or clunky IVR menus. Voice AI delivers exactly that. By replacing outdated IVR systems with intelligent, conversational Voice AI, businesses can: The future of customer service doesn’t lie in pressing buttons — it lies in natural, seamless conversations powered by AI. Companies that embrace Voice AI now will not only meet rising customer expectations but will also drive significant efficiency gains across their operations. ✅ Ready to transform your customer support with Voice AI?Learn how Voice AI can help you reduce call times, increase first-call resolutions, and improve customer satisfaction — all while reducing

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February 23, 2025in Data
agentforce digital workforce
13Feb

How Agentforce Works

Salesforce Agentforce: Everything You Need to Know Salesforce Agentforce represents a paradigm shift from generative AI to agentic AI—a new class of AI capable of autonomous action. Since its launch at Dreamforce in September 2024, Agentforce has redefined the conversation around AI, customer service, and experience management. To meet skyrocketing demand, Salesforce announced plans to hire more than 1,000 employees shortly after the launch. What is Salesforce Agentforce? Agentforce is a next-generation platform layer within the Salesforce ecosystem. While its bots leverage generative AI capabilities, they differ significantly from platforms like ChatGPT or Google Gemini. Agentforce bots are designed not just to generate responses but to act autonomously within predefined organizational guardrails. Unlike traditional chatbots, which follow scripted patterns, Agentforce AI agents are trained on proprietary data, enabling flexible and contextually accurate responses. They also integrate with Salesforce’s Data Cloud, enhancing their capacity to access and utilize customer data effectively. Agentforce combines three core tools—Agent Builder, Model Builder, and Prompt Builder—allowing businesses to create customized bots using low-code tools. Key Features of Agentforce The platform offers ready-to-deploy AI agents tailored for various industries, including: Agentforce officially became available on October 25, 2024, with pricing starting at $2 per conversation, and volume discounts offered for enterprise customers. Salesforce also launched the Agentforce Partner Network, enabling third-party integrations and custom agent designs for expanded functionality. How Agentforce Works Salesforce designed Agentforce for users without deep technical expertise in AI. As CEO Marc Benioff said, “This is AI for the rest of us.” The platform is powered by the upgraded Atlas Reasoning Engine, a component of Salesforce Einstein AI, which mimics human reasoning and planning. Like self-driving cars, Agentforce interprets real-time data to adapt its actions and operates autonomously within its established parameters. Enhanced Atlas Reasoning Engine In December 2024, Salesforce enhanced the Atlas Reasoning Engine with retrieval-augmented generation (RAG) and advanced reasoning capabilities. These upgrades allow agents to: Seamless Integrations with Salesforce Tools Agentforce is deeply integrated with Salesforce’s ecosystem: Key Developments Agentforce Testing Center Launched in December 2024, the Testing Center allows businesses to test agents before deployment, ensuring they are accurate, fast, and aligned with organizational goals. Skill and Integration Library Salesforce introduced a pre-built library for CRM, Slack, Tableau, and MuleSoft integrations, simplifying agent customization. Examples include: Industry-Specific Expansion Agentforce for Retail Announced at the NRF conference in January 2025, this solution offers pre-built skills tailored to retail, such as: Additionally, Salesforce unveiled Retail Cloud with Modern POS, unifying online and offline inventory data. Notable Agentforce Customers Looking Ahead Marc Benioff calls Agentforce “the third wave of AI”, advancing beyond copilots into a new era of autonomous, low-hallucination intelligent agents. With its robust capabilities, Agentforce is positioned to transform how businesses interact with customers, automate workflows, and drive success. 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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February 13, 2025in Agentforce Platform, Agentic AI, Data, Enterprise, Generative AI, Google, Mulesoft, Salesforce, Salesforce Einstein
collaboration between humans and AI
05Feb

The Synergy of AI and Human Expertise in Modern Customer Service

The Balanced Approach to Customer Support In today’s demanding service landscape, businesses face a critical challenge: meeting rising customer expectations while maintaining operational efficiency. Research reveals that 77% of customers demand immediate interaction when contacting companies, while 65% expect organizations to adapt dynamically to their evolving needs. The solution lies not in choosing between artificial intelligence and human representatives, but in strategically combining their complementary strengths. The AI Advantage in Customer Service Artificial intelligence brings transformative capabilities to customer support operations: 1. Operational Efficiency 2. Intelligent Insights 3. Proactive Engagement Platforms like Salesforce’s Agentforce demonstrate AI’s potential, combining around-the-clock availability with continuous learning capabilities that adapt to changing customer needs while operating within established business parameters. The Irreplaceable Human Element While AI excels at efficiency, human representatives provide essential qualities that technology cannot replicate: 1. Emotional Intelligence 2. Complex Problem-Solving 3. Relationship Building The Power of Collaborative Service The most effective customer service strategies integrate AI and human capabilities through: 1. Intelligent Assistance ToolsPlatforms like Service Assistant demonstrate this synergy by: 2. Optimized Workflows 3. Continuous Improvement Implementing an Integrated Service Strategy Organizations can develop this balanced approach through: 1. Strategic Technology Deployment 2. Workforce Development 3. Performance Measurement The Future of Customer Service The most successful service organizations will be those that: By harmonizing artificial intelligence with human expertise, businesses can deliver the responsive, personalized service that modern customers demand while maintaining the authentic connections that build lasting loyalty. This balanced approach represents not just the present of customer service, but its future. 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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February 5, 2025in Artificial Intelligence, Data, Salesforce, Technology
AI evolves with tools like Agentforce and Atlas
03Feb

Salesforce Atlas

Salesforce Atlas: The Brainpower Behind AI-Driven Transformation A New Era of AI for Enterprise AI is reshaping industries at an unprecedented pace, and agentic AI—AI that can think, plan, and act autonomously—is at the forefront of this revolution. Salesforce is leading the charge with Agentforce, a low-code platform that allows businesses to build, refine, and deploy autonomous AI agents across multiple business functions. At the core of this innovation is Salesforce Atlas, the reasoning engine that empowers Agentforce to tackle complex decision-making tasks just like a human. But Atlas goes further—it continuously learns, adapts, and evolves, setting a new standard for AI-driven enterprises. Let’s explore how Atlas works, its capabilities, and why it’s a game-changer for businesses. Salesforce Atlas: The Reasoning Engine Powering Agentforce Atlas is the intelligent decision-making engine that powers Agentforce’s AI agents. Rather than simply following predefined rules, Atlas evaluates data, refines its approach, and continuously learns from outcomes. When an AI agent encounters a decision point, Atlas asks: ➡️ Do I have enough data to ensure accuracy?✔ If yes, it proceeds with a decision.❌ If no, it seeks additional data or escalates the issue. This iterative learning process ensures that AI agents become more reliable, context-aware, and autonomous over time. Salesforce CEO Marc Benioff teased the potential of Atlas, revealing that: 📊 “We are seeing 90-95% resolution on all service and sales issues with the new Atlas.” That’s a staggering success rate, demonstrating how AI-driven reasoning can transform enterprise efficiency and customer engagement. How Salesforce Atlas Works: The “Flywheel” Process Atlas operates using a structured flywheel process that enables self-improvement and adaptability. Here’s how it works: 1️⃣ Data Retrieval – Atlas pulls structured and unstructured data from the Salesforce Data Cloud.2️⃣ Evaluation – It analyzes the data, generates a plan of action, and assesses whether the plan will drive the desired outcome.3️⃣ Refinement – If the plan isn’t strong enough, Atlas loops back, refines its approach, and iterates until it’s confident in its decision. This cycle repeats continuously, ensuring AI agents deliver accurate, data-driven outcomes that align with business goals. Once a task is completed, Atlas learns from the results, refining its approach to become even smarter over time. The Core Capabilities of Salesforce Atlas Atlas stands out because of its advanced reasoning, adaptive learning, and built-in safeguards—all designed to deliver trustworthy, autonomous AI experiences. 1. Advanced Reasoning & Decision-Making Atlas doesn’t just execute tasks; it thinks critically, determining the best way to approach each challenge. Unlike traditional AI models that follow rigid scripts, Atlas: 🔍 Analyzes real-time data to determine the most effective course of action.📊 Refines its decisions dynamically based on live feedback.🌍 Adapts to changing circumstances to optimize outcomes. At Dreamforce 2024, Marc Benioff demonstrated Atlas’s power by showcasing how it could optimize theme park experiences in real time, analyzing: 🎢 Ride availability👥 Guest preferences🚶 Park flow patterns This real-time decision-making showcases the game-changing potential of agentic AI. 2. Advanced Data Retrieval Atlas leverages Retrieval-Augmented Generation (RAG) to pull highly relevant, verified data from multiple sources. This ensures: ✔ More accurate responses✔ Minimized AI hallucinations✔ Reliable, data-driven insights For example, Saks Fifth Avenue uses Atlas to personalize shopping recommendations for millions of customers—tailoring experiences with precision. 3. Built-in Guardrails for Security & Compliance Salesforce recognizes the importance of AI governance, and Atlas includes robust safeguards to ensure responsible AI usage. 🔐 Ethical AI protocols – Ensures compliance with evolving regulations.🚨 Escalation capabilities – AI knows when to seek human intervention for complex issues.🌍 Hyperforce security – Provides enterprise-grade privacy and security standards. These protections ensure Atlas operates securely, responsibly, and at scale across global enterprises. 4. Reinforcement Learning & Continuous Improvement Atlas doesn’t just process data—it learns from outcomes. 🔄 Refines decisions based on real-world results📈 Optimizes performance over time⚡ Becomes increasingly efficient and tailored to business needs Whether it’s increasing sales conversions, resolving service issues, or optimizing workflows, Atlas ensures AI agents grow smarter with every interaction. Why Salesforce Atlas is a Game-Changer Salesforce Atlas isn’t just another AI tool—it’s the brain behind Salesforce’s next-generation AI ecosystem. With Atlas, businesses can: ✅ Automate complex tasks with AI-driven decision-making.✅ Deliver hyper-personalized customer experiences with confidence.✅ Scale AI-powered workflows across sales, service, and operations.✅ Ensure compliance and trust with built-in governance measures.✅ Adapt AI capabilities to meet evolving business needs. Marc Benioff envisions Atlas as the core of a future where AI and humans collaborate to drive innovation and efficiency. By combining advanced reasoning, dynamic adaptability, and enterprise security, Atlas empowers organizations to work smarter, faster, and more effectively—unlocking the full potential of agentic AI. The future of AI-driven enterprise has arrived. With Salesforce Atlas, businesses can build AI agents that don’t just follow instructions—they think, learn, and evolve. 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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February 3, 2025in Agentforce Platform, Agentic AI, Data, Enterprise, Hyperforce, Salesforce, Salesforce Data Cloud
Opportunity Scoring with Einstein
22Jan

Agentforce Versus Einstein

Salesforce offers a variety of tools and platforms to help businesses manage customer relationships, automate processes, and leverage AI for better decision-making. Two of its prominent offerings in the customer service and AI space are Service Cloud (Agent Console) and Einstein AI. Here’s a comparison of Agent Console (part of Service Cloud) and Einstein: 1. Salesforce Agent Console (Service Cloud) The Agent Console is a core component of Salesforce’s Service Cloud, which is designed to help customer service agents manage cases, interactions, and customer data efficiently. Key Features: Use Case: The Agent Console is ideal for customer service teams that need a centralized platform to manage customer interactions and resolve issues quickly. 2. Salesforce Einstein Einstein is Salesforce’s AI platform that integrates artificial intelligence across Salesforce products, including Service Cloud, Sales Cloud, Marketing Cloud, and more. It provides predictive analytics, automation, and personalized recommendations. Key Features: Use Case: Einstein is ideal for organizations looking to leverage AI to enhance customer service, improve decision-making, and automate routine tasks. Agent Console vs. Einstein: Key Differences Feature/Aspect Agent Console (Service Cloud) Einstein AI Purpose Centralized platform for managing customer service operations. AI-powered insights, automation, and personalization. Core Functionality Case management, omnichannel support, and agent productivity tools. Predictive analytics, chatbots, and AI-driven recommendations. Automation Workflow automation for case management and task routing. AI bots and automated responses for customer inquiries. Insights Basic reporting and analytics for agent performance. Advanced predictive analytics and AI-driven insights. Integration Part of Service Cloud, focused on customer service. Integrated across Salesforce products (Sales, Service, Marketing, etc.). User Interaction Primarily used by customer service agents. Used by agents, managers, and customers (via bots). How They Work Together The Agent Console and Einstein are not mutually exclusive; they complement each other. For example: Which One Should You Use? In many cases, businesses use both together to create a seamless, AI-enhanced customer service experience. 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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January 22, 2025in Artificial Intelligence, Data, Einstein Insights, Salesforce, Salesforce Einstein
Agentforce to the Team
27Nov

Salesforce has officially launched Agentforce

Agentforce goes beyond traditional chatbots and copilots, leveraging advanced reasoning to perform tasks like resolving customer issues, qualifying leads, and optimizing marketing campaigns—all without human intervention. Triggered by data changes, business rules, automations, or API signals, Agentforce executes actions independently. Companies like OpenTable, Saks, and Wiley are already harnessing Agentforce to enhance employee productivity, expand their workforce, and elevate customer experiences.

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November 27, 2024in Data, Enterprise, Mulesoft, Salesforce
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