Technology Archives - gettectonic.com
AI Agents in Business 2025

Digital-First Auto Expectations

Gen Z is Reshaping the Auto Industry with AI and Digital-First Expectations As the first generation of digital natives, Gen Z is entering the car market with a strong preference for personalized, tech-driven experiences—disrupting traditional purchasing and leasing models. According to recent Salesforce research, 74% of Gen Z buyers want AI-powered agents to advise them on the optimal time to buy based on pricing trends, promotions, and incentives. To stay competitive, automotive leaders must adapt their strategies to meet these evolving expectations. Gen Z Embraces AI for Car Research and Financing Compared to older generations, Gen Z is far more likely to rely on AI for car shopping: A Tech-First Approach to Car Buying Gen Z’s reliance on technology stems from challenges in navigating the traditional car-buying process: Greater Trust in AI and Demand for Personalization Gen Z shows significantly higher confidence in AI-driven solutions: Subscription Models and Flexible Ownership Younger buyers favor innovative payment and ownership options: The Future of Automotive Retail With Gen Z leading the shift toward AI-powered car buying, maintenance, and flexible ownership models, automakers and dealers must prioritize digital-first solutions, transparent pricing, and hyper-personalized experiences to capture this influential market. Tectonic is here to help your company deliver on these Gen Z expectations with Salesforce. Contact us 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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What is a CRM

Customer Relationship Management

Salesforce has transformed the way businesses manage customer relationships, sales, and marketing. Its capabilities extend into the events industry, enabling seamless integration for event planning, marketing, sales, and attendee engagement. By leveraging Salesforce, event organizers can streamline lead management, automate marketing campaigns, track event performance, and enhance attendee experiences. This guide explores how Salesforce can optimize event success and drive higher ROI. Managing Leads with Salesforce Effective lead management is critical to maximizing event ROI. Salesforce offers powerful tools to streamline lead capture, scoring, nurturing, segmentation, and tracking—helping sales teams convert attendees into customers. Seamless Lead Capture Salesforce integrates with event registration forms, mobile apps, and onsite check-in systems to: A centralized approach provides a 360-degree view of each attendee, empowering sales and marketing teams to act strategically. AI-Powered Lead Scoring Salesforce’s AI-driven lead scoring prioritizes leads by tracking: This data-driven approach helps sales teams focus on the most promising leads for personalized follow-ups. Automated Lead Nurturing Salesforce automation tools keep leads engaged post-event through: Advanced Lead Segmentation Salesforce enables lead categorization for targeted outreach: Tracking Sales Opportunities with Salesforce Beyond lead management, Salesforce empowers event teams with tools to monitor revenue-generating opportunities, such as ticket sales, sponsorship deals, and exhibitor partnerships. Comprehensive Opportunity Management Salesforce enables tracking of every stage of the sales process, including: Real-Time Sales Pipeline Visibility Salesforce’s pipeline management tools allow teams to: Customizable Sales Reporting Salesforce reporting capabilities help event organizers: Automating Event Marketing Tasks with Salesforce Marketing automation is key to scaling outreach, enhancing engagement, and driving conversions. Salesforce provides tools that streamline marketing efforts, personalize communication, and measure campaign success. Email Marketing Automation Salesforce automates email campaigns to ensure timely communication: Social Media Integration & Management Salesforce allows teams to manage and track social media engagement from one platform: Integrating Salesforce with Event Technology Seamless integration between Salesforce and event technology centralizes data, improves efficiency, and enhances engagement. Event Management Platform Integration Salesforce integrates with platforms like Cvent, Bizzabo, and Eventbrite to enable: Mobile Event Apps & On-Site Engagement Tools Syncing Salesforce with mobile event apps provides real-time insights and tracking: Marketing Automation Tool Integrations Salesforce enhances marketing efficiency by integrating with platforms like HubSpot, Marketo, and Pardot: Reporting and Analytics: Unlocking Actionable Insights Salesforce provides robust analytics to help organizers measure performance, optimize strategies, and maximize ROI. Customizable Reports for Event Insights Salesforce enables comprehensive reporting on: ROI Analysis for Strategic Planning Salesforce’s ROI analysis tools help organizers: Best Practices for Using Salesforce for Events To maximize Salesforce’s value in event management, organizations should adopt best practices: 1. Data Hygiene: Keeping Information Accurate 2. Training & Adoption: Empowering Teams 3. Customization: Tailoring Salesforce for Event Needs 4. Integration Strategy: Creating a Unified Event Tech Ecosystem By implementing these best practices, organizations can fully leverage Salesforce to enhance event success, improve attendee engagement, and drive higher ROI. 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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GoMeddo

Tectonic Announces Partnership with GoMeddo

Revolutionizing Hospitality with Smart Guest Experiences The Future of Hospitality is Here – Powered by Salesforce, GoMeddo, and Tectonic Tectonic is thrilled to announce our partnership with GoMeddo to revolutionize hospitality with smart guest experiences! Today’s guests demand more than just great service—they expect personalized, seamless, and effortless experiences. That’s why Tectonic, a top-tier Salesforce implementation partner, and GoMeddo, the leading scheduling and booking platform, are teaming up to transform hospitality and restaurant operations with cutting-edge technology. There’s no time like the present to create the best possible guest experiences and no one better equipped to get you there than GoMeddo and Tectonic. 🚀 Key Benefits for Your Business:✔ Frictionless Bookings – Let guests reserve tables, rooms, or activities 24/7 from any device.  Regardless the use case (golf, batting cages, party rooms, ski lessons, events, meetings or more) our frictionless booking tool delights your guests.✔ Hyper-Personalized Journeys – Leverage real-time data to anticipate needs and amaze every guest.✔ Smarter Operations – Automate scheduling, optimize staff efficiency, and reduce overhead. This powerful partnership is set to elevate guest satisfaction, boost revenue, and streamline operations—ensuring your business stays ahead in a competitive market. Why Guest Experience is the New Battleground The hospitality industry is evolving fast. Guests no longer just compare you to competitors—they compare you to Amazon, Uber, and Netflix. They want:🔹 Instant, digital-first service (no phone calls or waiting)🔹 Tailored recommendations (like Spotify’s “Made for You” playlists)🔹 Seamless omnichannel interactions (book online, modify via app, check in via kiosk) 80% of guests are more likely to return to brands that offer personalized experiences. Are you meeting these expectations? How GoMeddo + Tectonic Deliver Next-Level Hospitality 1️⃣ For Guests: Effortless, Personalized Experiences 2️⃣ For Staff: Smarter Operations 3️⃣ For Management: Data-Driven Growth Real Results: What This Partnership Unlocks 📈 20-30% higher table turnover with automated reservations💳 15% increase in upsells via personalized promotions⭐ Improved guest reviews from streamlined experiences “Technology should enhance human connection, not replace it. With GoMeddo and Salesforce, we’re giving staff superpowers to focus on what matters—creating unforgettable moments.”– Krystal Hicks, Sales Director at Tectonic The Bottom Line The hospitality brands winning today aren’t just competing on service—they’re competing on convenience, personalization, and tech-powered magic. With GoMeddo’s scheduling expertise and Tectonic’s Salesforce mastery, your business can:✅ Turn first-time guests into loyal regulars✅ Free staff from admin headaches✅ Future-proof your operations Ready to redefine guest experience? [Discover how our solutions work] or [Book a consultation]. #HospitalityInnovation #SmartRestaurants #GuestExperience #Salesforce #GoMeddo #Tectonic #CustomerExperience #CustomerEngagement #SalesforcePartner 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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Sending Emails Through Salesforce

Are Email Open Rates the Key to Success

Are Email Open Rates the Key to Success? Myth or Truth? Email marketing remains a cornerstone for digital marketers aiming to generate leads. Many believe that higher email open rates directly correlate with better campaign performance, while others argue that email marketing alone isn’t enough to drive conversions. The truth? Open rates matter—but only when paired with the right strategy and technology. This guide explores why email open rates are important, how they impact lead generation, and how Salesforce tools like Marketing Cloud and Agentforce can help optimize email marketing efforts. Why Email Open Rates Matter Email open rates serve as an early indicator of campaign success. When recipients open an email, it signals interest and engagement, which can lead to conversions. According to a 2023 Statista report, email open rates vary widely: While open rates are a useful metric, they shouldn’t be the sole measure of success. Instead, they should be analyzed alongside click-through rates (CTR) and conversion rates to get a full picture of campaign performance. The Challenges of Low Email Open Rates Many businesses struggle with low open rates due to several factors: To overcome these challenges, businesses must segment their audience, personalize messaging, and automate workflows—which is where Salesforce excels. Boosting Email Open Rates with Salesforce Salesforce, a leader in CRM solutions, offers powerful tools like Marketing Cloud and Agentforce to optimize email marketing. Here’s how: 1. Advanced Segmentation for Higher Open Rates Segmenting your email list ensures that your messages reach the right audience. Salesforce enables businesses to group recipients based on: 2. Personalization with AI-Powered Recommendations Generic emails no longer cut it. With AI-driven insights, Salesforce allows businesses to: 3. Automated Email Workflows for Efficiency Automation helps marketers reach audiences at the right time with minimal effort. Using Salesforce Agentforce, businesses can: 4. Data-Driven Insights for Continuous Improvement Salesforce’s analytics tools provide real-time performance tracking, including: 5. Integration with Other Salesforce Tools Email marketing works best when integrated with CRM data and sales pipelines. Salesforce enables: Are Email Open Rates the Ultimate Metric? While email open rates matter, they are just one piece of the puzzle. When combined with CTR, conversion rates, and AI-driven automation, businesses can refine their strategy and generate more leads. By leveraging Salesforce Marketing Cloud and Agentforce, companies can optimize segmentation, personalization, and automation—ensuring that their email marketing campaigns not only get opened but also convert. Ready to boost your email marketing performance? Explore Salesforce solutions 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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digital transformation for tourism

Digital Transformation for Tourism

The digital revolution is in full swing, with individuals and businesses increasingly interacting through social networks and digital devices. In this new era, consumers have grown more discerning, leveraging mobile technology to make informed decisions about products, services, and trusted providers. As mobile apps become integral to daily life, organizations are compelled to reinvent their customer value propositions and operating models through digital transformation to remain competitive in today’s market. Digital transformation has become a critical priority across industries, with the tourism sector standing out as a prime example of significant disruption driven by digital technologies. According to McKinsey & Company, the tourism industry has been undergoing a digital revolution for over a decade, transforming how travelers plan, book, and experience their trips. This shift has led to changing consumer behaviors, with travelers now demanding more personalized and seamless experiences. The push toward digital adoption in tourism is accelerating. A Skift survey found that 83% of respondents view digital transformation as a top priority. Tourism businesses are increasingly investing in technology to enhance customer experiences, optimize operations, and drive revenue growth. To boost enterprise agility, companies must make strategic decisions across five key dimensions of their operating models: One of the most notable impacts of digital transformation is the revolution in the booking process. Travelport Digital estimates that over 700 million people will book trips online by 2023, marking a 15% increase from previous years. Key statistics highlight this global shift in traveler preferences: Mobile apps have become essential tools for travelers, enabling them to research, plan, and book trips seamlessly. In the hospitality and tourism sector, key digital transformation trends include: Emerging technologies like cognitive computing, omnichannel models, and advanced personalization are further reshaping the future of the industry. Artificial intelligence (AI) and machine learning are increasingly used to tailor travel experiences based on consumer preferences and behaviors, as noted by GlobalData. AI also improves operational efficiency, with chatbots handling customer inquiries effectively. Augmented reality (AR) and virtual reality (VR) are enhancing customer experiences by allowing travelers to explore destinations virtually before booking. Meanwhile, social media continues to play a pivotal role in promoting tourism businesses and reaching new audiences. In conclusion, digital transformation is no longer optional for tourism businesses—it is a necessity to remain competitive. The adoption of digital technologies has fundamentally reshaped the travel experience, and businesses must embrace this evolution to meet changing consumer expectations and maintain relevance in an increasingly digital world. 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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PandaDoc Unveils CPQ for Salesforce

PandaDoc Unveils CPQ for Salesforce

PandaDoc Unveils CPQ for Salesforce to Streamline Sales and Revenue Operations PandaDoc, a leader in document management solutions, has announced a major expansion of its CPQ (Configure, Price, Quote) suite with the launch of PandaDoc CPQ for Salesforce. Built natively within Salesforce, the world’s most widely used CRM, this solution empowers revenue teams to generate accurate quotes, reduce inefficiencies, and execute contracts—all without leaving Salesforce. Expanding on its embedded CPQ solution for HubSpot, PandaDoc plans to bring CPQ functionality to additional CRMs in 2025. Optimized for Revenue Operations Available as a paid add-on for PandaDoc Enterprise and App Volume customers, PandaDoc CPQ for Salesforce is designed to help revenue operations leaders overcome the common inefficiencies of traditional CPQ systems. Account Executives (AEs), Account Managers (AMs), and Customer Success Managers (CSMs) can now manage the entire deal cycle—from quote generation to contract execution—entirely within Salesforce. This integration accelerates approvals, reduces errors, and increases efficiency, giving sales teams the tools they need to close deals faster. A Game-Changer for Sales Teams “PandaDoc CPQ for Salesforce is a game-changer for revenue organization leaders who want to streamline their quoting process and accelerate deal closures,” said Keith Rabkin, President at PandaDoc. “By keeping sales teams entirely within Salesforce, we simplify workflows with guided selling and dynamic pricing tools, making every stage of the sales cycle faster and more efficient.” Early adopters are already reaping significant benefits: “Upgrading our subscription to take advantage of PandaDoc CPQ has been well worth it. I had tried other CPQ options, and they were all subpar,” said Emerson McCuin, Director of Revenue Operations at HAAS Alert. “I’m super happy with our choice and can’t stress enough how much we needed this solution.” Key Features & Benefits of PandaDoc CPQ for Salesforce ✅ Native Salesforce Integration – Built entirely within Salesforce for a seamless experience and intuitive UI. ✅ Guided Selling – Pre-configured workflows guide reps through quote creation, reducing errors and ensuring compliance. ✅ Flexible Pricing Rules – Support for dynamic pricing, volume discounts, bundled pricing, and complex product catalogs. ✅ Rapid Implementation – No costly third-party consultants required, enabling a quick and easy setup. ✅ Two-Way Data Sync – Real-time synchronization between PandaDoc and Salesforce ensures data accuracy across systems. “These features are a direct response to what we’ve heard from our sales and RevOps customers,” added Rabkin. “They needed a solution that is easy to implement and prevents reps from getting bogged down in complex quoting, so they can focus on selling.” Simplifying Sales & Revenue Growth By combining robust CPQ functionality with deep Salesforce integration, PandaDoc CPQ for Salesforce simplifies the sales process for RevOps and sales teams. Its intuitive design, powerful automation tools, and no-code implementation allow businesses to close deals faster and drive revenue growth—all within the systems they already use. To learn more about PandaDoc CPQ for Salesforce, visit their website or contact one of their authorized partners. About PandaDoc Founded in 2013, PandaDoc is a leading document management platform that enables businesses to simplify and automate the creation, management, and signing of proposals, quotes, contracts, and other critical business documents. By combining intelligent e-signature technology, powerful analytics, and seamless collaboration tools, PandaDoc helps businesses:✅ Increase efficiency✅ Close deals faster✅ Deliver exceptional customer experiences A remote-first company with 650+ employees serving 56,000+ customers worldwide, PandaDoc is backed by OMERS Growth Equity, Microsoft’s M12, HubSpot, and Altos Ventures. With a commitment to bold, transparent, and practical solutions, PandaDoc continues to redefine how businesses operate and win. 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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Adecco Group and Salesforce Launch Joint Venture

Adecco Group and Salesforce Launch Joint Venture to Pioneer AI-Human Workforce Integration Strategic Partnership Aims to Redefine Workforce Management The Adecco Group, the world’s second-largest staffing firm, has announced a groundbreaking joint venture with Salesforce to create an AI-powered workforce management platform. The new entity, backed by investments from both corporations, will focus on enabling enterprises to strategically integrate human employees with autonomous AI agents. Bridging the Human-Digital Workforce Divide The partnership combines Adecco’s workforce expertise with Salesforce’s Agentforce platform to deliver: “The mission is to unlock the full potential of humans working alongside AI,” stated Denis Machuel, CEO of Adecco Group. “We’re at a critical juncture where establishing clear frameworks for human-AI collaboration will determine future success.” Market Context and Industry Impact The move follows Adecco’s December 2024 adoption of Salesforce’s Agentforce to enhance its recruitment operations. Industry analysts view this as a strategic response to workforce transformation: “Staffing firms face a choice – lead the AI transition or risk disruption,” noted John Nurthen of Staffing Industry Analysts. “Adecco’s initiative likely signals a broader trend in the trillion digital labor market.” Platform Capabilities and Roadmap The joint venture will offer: Broader Industry Momentum The announcement coincides with Deloitte’s March 26 reveal of its Salesforce-powered marketing agent, part of a broader push to embed AI across enterprise functions. Other staffing technology providers like Bullhorn and Asymbl have also joined AgentExchange, signaling growing industry adoption. “These partnerships demonstrate how agentic AI is moving from concept to commercialization,” commented Brian Landsman of Salesforce. “We’re seeing the emergence of entirely new business models in digital labor.” The joint venture plans to release additional details about its platform and go-to-market strategy in coming months. Contact Tectonic to upgrade your staffing agency. 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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AI Agent Revolution

AI Agent Revolution

The AI Agent Revolution: How AWS, Salesforce, and Oracle See the Future of Work Executives from AWS, Salesforce, and Oracle believe artificial intelligence (AI) agents are set to redefine work in ways many may not expect. These AI-driven systems promise to streamline operations, enhance productivity, and transform the way businesses interact with technology. The Future of AI Agents in Action Imagine a world where: Swami Sivasubramanian, AWS’s vice president of agentic AI, describes this shift as a fundamental leap forward. Unlike earlier AI models, these agents don’t just generate content—they reason, plan, and execute tasks. They can research, pay bills, manage enterprise applications, and break down high-level objectives into actionable steps. Sivasubramanian envisions a “fully AI world” where agents autonomously make decisions, automate workflows, and coordinate with minimal human oversight. But, as he points out, this isn’t a distant future—it’s happening now. Companies like Genentech are using AI agents to accelerate drug research, cutting timelines by nearly five years. Moody’s has reduced its credit risk reporting process from a week to under an hour. These breakthroughs illustrate the vast potential of AI-driven automation. Salesforce’s ‘Limitless Labor’ Approach Salesforce is also at the forefront of AI agent adoption with Agentforce, a platform that has seen overwhelming demand since its launch. More than 5,000 customers signed up in its first full quarter, signaling a strong appetite for AI-driven automation. Adam Evans, EVP and GM of Salesforce AI, describes AI agents as creating a “limitless labor” pool. These agents are already supporting Salesforce’s own customers, resolving 97% of inquiries without human intervention. The next evolution, according to Evans, involves AI agents acting as brand ambassadors—not just answering questions, but understanding customer needs, driving sales, and providing personalized support. Salesforce categorizes AI agents into three types: Early adopters like Wiley Publishing have reported a 40% increase in customer satisfaction due to AI-driven customer service, while Pfizer is leveraging AI agents in life sciences. To support this transformation, Salesforce has introduced flexible pricing models, allowing companies to transition from traditional seat-based pricing to AI consumption-based structures. AI Agents as the New Enterprise Interface Oracle sees AI agents as the future interface for enterprise software, eliminating the need for users to adapt to complex systems. “Let’s stop adapting ourselves to computers and make them adapt to us,” said Miranda Nash, group vice president at Oracle AI. In this vision, users no longer navigate Oracle’s software through menus—they simply ask questions, and AI agents handle the rest through sophisticated, multi-agent workflows. Oracle is embedding AI agents across key business functions, including: As AI transforms work, Nash, Evans, and Sivasubramanian acknowledge concerns about job displacement. However, they emphasize that AI agents augment human roles rather than replace them. At Salesforce, employees previously assigned to repetitive support tasks are now moving into higher-value roles like customer success and sales. Meanwhile, AWS’s AI deployment has saved Amazon 4,500 developer years’ worth of work and over $250 million in capital expenses. “The only option now is to get in the cloud, embrace AI agents, and meet the future of work,” Nash concluded. 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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Tectonic Salesforce Integrations

Digital Experience and Ecommerce Dictionary

Essential Ecommerce and Digital Experience Terminology The world of ecommerce and digital experiences is constantly evolving, bringing with it a steady stream of new buzzwords and concepts. While this list isn’t exhaustive, it serves as an excellent introduction to some of the latest trends and terminology shaping online shopping experiences. Accessibility Ensuring that web content is accessible across all devices is only part of the equation—compliance with international regulations is crucial to supporting individuals with disabilities. Here are key terms related to digital accessibility: Content Marketing Content marketing has evolved beyond catalogs and newsletters. It’s now an integral part of the shopping experience, helping customers discover and engage with brands in meaningful ways. Data-Driven Strategies Leading brands leverage data-driven ecommerce to deliver personalized, seamless shopping experiences. This ever-evolving space includes key concepts such as: Mobile Commerce Consumers expect to shop seamlessly across multiple devices. Mobile commerce trends ensure a smooth experience, no matter where they browse. Omnichannel Experiences Shoppers today expect a cohesive experience whether they shop online, on social media, or in-store. Here are key omnichannel concepts: Tech & Digital Experience Platforms To meet changing consumer expectations, retailers are adopting advanced technologies that streamline operations and enhance user experiences. Social Commerce Social commerce enables direct purchases through social media platforms, streamlining the shopping journey from discovery to checkout. Security & Privacy Data privacy is a growing concern among consumers. Here are key regulations shaping ecommerce security: Search Search functionality is crucial for delivering relevant results and optimizing user experience. Emerging trends include: Final Thoughts The ecommerce webscape is always changing, with new technologies and trends shaping the way consumers shop online. By staying abreast of these key terms, businesses can enhance customer experiences and remain competitive in the digital marketplace. Explore these topics further with our resources and insights! 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 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Balancing Security with Operational Flexibility

Balancing Security with Operational Flexibility

Security measures for AI agents must strike a balance between protection and the flexibility required for effective operation in production environments. As these systems advance, several key challenges remain unresolved. Practical Limitations 1. Tool Calling 2. Multi-Step Execution 3. Technical Infrastructure 4. Interaction Challenges 5. Access Control 6. Reliability & Performance The Road Ahead Scaling AI Through Test-Time Compute The future of AI agent capabilities hinges on test-time compute, or the computational resources allocated during inference. While pre-training faces limitations due to finite data availability, test-time compute offers a path to enhanced reasoning. Industry leaders suggest that large-scale reasoning may require significant computational investment. OpenAI’s Sam Altman has stated that while AGI development is now theoretically understood, real-world deployment will depend heavily on compute economics. Near-Term Evolution (2025) Core Intelligence Advancements Interface & Control Improvements Memory & Context Expansion Infrastructure & Scaling Constraints Medium-Term Developments (2026) Core Intelligence Enhancements Interface & Control Innovations Memory & Context Strengthening Current AI systems struggle with basic UI interactions, achieving only ~40% success rates in structured applications. However, novel learning approaches—such as reverse task synthesis, which allows agents to infer workflows through exploration—have nearly doubled success rates in GUI interactions. By 2026, AI agents may transition from executing predefined commands to autonomously understanding and interacting with software environments. Conclusion The trajectory of AI agents points toward increased autonomy, but significant challenges remain. The key developments driving progress include: ✅ Test-time compute unlocking scalable reasoning ✅ Memory architectures improving context retention ✅ Planning optimizations enhancing task decomposition ✅ Security frameworks ensuring safe deployment ✅ Human-AI collaboration models refining interaction efficiency While we may be approaching AGI-like capabilities in specialized domains (e.g., software development, mathematical reasoning), broader applications will depend on breakthroughs in context understanding, UI interaction, and security. Balancing computational feasibility with operational effectiveness remains the primary hurdle in transitioning AI agents from experimental technology to indispensable enterprise tools. 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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Dementia Care and Telemedicine

Dementia Care and Telemedicine

How 3 Health Systems Are Leveraging Telemedicine for Dementia Care Telemedicine is expanding access to dementia care, particularly for rural and elderly patients, though challenges like technology barriers and sustainability remain. Dementia—an umbrella term for cognitive and memory disorders—affects millions of Americans directly and indirectly. By 2060, nearly 1 million people in the U.S. are projected to develop dementia. While no cure exists, the growing prevalence underscores the need for accessible and effective care solutions. Telehealth has emerged as a critical tool in meeting this demand. The rapid adoption of virtual care during the COVID-19 pandemic transformed dementia care delivery. A 2024 study found that telehealth use surged among dementia patients, particularly those with long travel distances to clinics and the oldest age groups. For health systems like the University of Mississippi Medical Center (UMMC), telemedicine has been a game-changer. “COVID-19 changed things almost overnight,” said Dr. Kim Tarver, associate professor of medicine and director of clinical services at UMMC’s MIND Center. “We have patients who travel three hours to see us. Being able to communicate without requiring a clinic visit every time is incredibly helpful.” UMMC is among several health systems integrating telehealth into dementia care, though challenges like technology access and financial sustainability persist. Telehealth’s Role in Dementia Care: Benefits and Applications Dementia care is uniquely suited for telehealth. Virtual visits allow for evaluations, treatment adjustments, and follow-ups while offering privacy and flexibility that in-person visits cannot. At UMMC, clinicians conduct cognitive assessments like the Montreal Cognitive Assessment (MoCA) remotely. A nurse guides patients through the test via screen-sharing, while caregivers assist with physical exam components when needed. “I’ll ask the caregiver to perform parts of the exam, like cerebellar function tests, while I observe via video,” Tarver explained. Though in-person visits are still used for verification, virtual assessments have proven comparably accurate. Telemedicine also enables family members to discuss concerns privately—especially valuable when patients are unaware of or resistant to acknowledging their condition. Extending Dementia Care Through Virtual Workforce Solutions Health systems are also using telehealth to expand their dementia care workforce. At the University of California, San Francisco (UCSF), unlicensed but trained care navigators support families, handling routine assessments and triaging complex cases to specialists. “Navigators manage caseloads of families, consulting licensed experts only when needed,” said Dr. Katherine Possin, a neurology professor at UCSF. “This extends the reach of our limited dementia specialist workforce.” Similarly, Banner Health’s Dementia Care Partners program employs health coaches (Certified Nursing Assistants) to conduct initial assessments and provide ongoing support, reducing clinician workload. “If I train 30 people who each support 3,000 patients, the impact multiplies rapidly,” said Dr. Ganesh Gopalakrishna of Banner Alzheimer’s Institute. Banner also uses Project ECHO, a telehealth-based training model, to educate community providers—from physicians to elder care attorneys—on dementia care best practices. Overcoming Telehealth Challenges in Dementia Care Despite its benefits, implementing telehealth in dementia care presents hurdles: The Future of Telehealth in Dementia Care Despite obstacles, providers see immense value in virtual dementia care—reducing caregiver burden, preventing unnecessary hospitalizations, and improving patients’ quality of life. “I hope telehealth becomes the standard of care,” Possin said. As health systems refine their approaches, telemedicine promises to play an increasingly vital role in dementia care—bridging gaps in access and delivering support to patients and families when they need it most. Tectonic can help you transform telehealth in your organization. Contact us 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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Agentic AI is Here

The Catalytic Potential of Agentic AI in Cloud Computing

Artificial intelligence continues to drive a technological flywheel where each breakthrough enables more sophisticated systems. While generative AI has dominated discourse since ChatGPT’s 2022 debut, 2025 appears poised to become the year of agentic AI – marking a paradigm shift from passive information processing toward proactive, autonomous systems capable of executing complex workflows. The Rise of Autonomous AI Agents Unlike conventional chatbots that facilitate human-led interactions, agentic AI systems operate independently to complete multi-step processes. These autonomous agents demonstrate capabilities ranging from specialized functions like sales outreach and travel booking to broader applications in cybersecurity and human resources. Industry analysts anticipate these systems will follow an adoption curve reminiscent of early internet technologies, potentially creating multi-billion dollar markets as they become embedded in daily operations. Cloud infrastructure providers stand to benefit significantly from this evolution. The computational demands of autonomous agents – including increased data generation, processing requirements, and storage needs – may accelerate cloud adoption across industries. This trend presents opportunities throughout the technology value chain, from foundational infrastructure to specialized software solutions. Market Dynamics and Growth Projections Recent industry surveys indicate strong momentum for agentic AI adoption: Current projections estimate the agentic AI market reaching 47 billion by 2030 Infrastructure Implications and Emerging Opportunities The rise of autonomous AI systems is driving several structural changes in technology markets: Industry Adoption and Commercialization Leading technology providers have moved aggressively to capitalize on this trend: These developments suggest agentic AI is already reshaping enterprise software economics while demonstrating strong market acceptance despite premium pricing. Strategic Implications Agentic AI represents more than technological evolution – it signals a fundamental shift in how enterprises leverage artificial intelligence. By automating complex workflows and decision-making processes, these systems offer: As the technology matures, agentic AI appears poised to catalyze the next phase of cloud computing growth while creating new opportunities across the technology ecosystem. For enterprises and investors alike, understanding and positioning for this transition may prove critical in the coming years. 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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AI and Robotics Revolution

The world’s leading CEOs are increasingly preparing for the imminent AI and robotics revolution, signaling a profound shift in the future of work. Salesforce CEO Marc Benioff recently offered a compelling vision of this future, where the boundaries between human and digital labor become increasingly blurred. In a striking declaration, Benioff stated that he would be the last Salesforce CEO to oversee a workforce composed solely of humans, underscoring the transformative impact of AI and robotics on the workplace. His remarks, which touched on the “digital labor revolution,” the multi-trillion-dollar economic opportunity it represents, and the rise of “agents” and robots, provide a thought-provoking glimpse into the evolving relationship between humans and technology in the professional sphere. Benioff elaborated on the concept of the “digital labor revolution,” describing it as a monumental opportunity worth between three and twelve trillion dollars. He emphasized that this revolution encompasses not only AI-driven agents and the “agentic age” but also the dawn of a “robotic age.” He highlighted China’s advancements in robotics as particularly noteworthy, pointing to the global competition in this rapidly evolving field. “The digital labor revolution is this three to twelve trillion dollar opportunity,” Benioff explained. “It involves agents and digital agents and the agentic age, but it also beholds a robotic age. And in the robotic age, who is going to make the robots? I think that that’s very impressive what the Chinese have been able to do with this robotic age. So the robots, the agents, AI—this is all part and parcel of the future.” When questioned about the implications for the workforce, Benioff made it clear that the integration of robots and AI agents into the workplace is inevitable. He envisions a future where humans work alongside these technologies in a collaborative manner. “The robotic age means for the workforce that we are going to work hand in hand with agents and robots,” he said. “I’ve told my employees, my customers, I’ll be the last CEO of Salesforce who only managed humans.” Benioff’s statement is more than a prediction; it is an acknowledgment of a rapidly approaching reality. His reference to the multi-trillion-dollar economic potential of AI and robotics highlights the scale of the opportunity, while his recognition of China’s progress in robotics underscores the global race to lead in this transformative domain. The concept of the “agentic age,” where AI agents operate autonomously, further underscores the shifting dynamics of the workplace, as traditional roles and processes are redefined by technological advancements. The implications of Benioff’s remarks are far-reaching. The integration of AI and robotics into the workforce will not simply augment human labor; it will fundamentally reshape it. This transformation will require a significant shift in mindset for both workers and leaders. Employees will need to adapt to collaborating with AI-powered agents and robots, acquiring new skills to remain relevant in an evolving job market. Companies, meanwhile, will face the challenge of integrating and managing a hybrid workforce, ensuring seamless collaboration between human and digital workers. Ethical considerations, such as the potential for job displacement and the responsible use of AI, will also need to be addressed proactively. Benioff’s words serve as a wake-up call, urging businesses and individuals alike to prepare for a future where humans and machines work side by side. This new era promises unprecedented levels of productivity and innovation, but it also demands careful planning and adaptation. As the lines between human and digital labor continue to blur, the organizations and individuals that embrace this change and invest in the necessary skills and infrastructure will be best positioned to thrive in the age of AI and robotics. 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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Shift From AI Agents to AI Agent Tool Use

Building Scalable AI Agents

Building Scalable AI Agents: Infrastructure, Planning, and Security The key building blocks of AI agents—planning, tool integration, and memory—demand sophisticated infrastructure to function effectively in production environments. As the technology advances, several critical components have emerged as essential for successful deployments. Development Frameworks & Architecture The ecosystem for AI agent development has matured, with several key frameworks leading the way: While these frameworks offer unique features, successful agents typically share three core architectural components: Despite these strong foundations, production deployments often require customization to address high-scale workloads, security requirements, and system integrations. Planning & Execution Handling complex tasks requires advanced planning and execution flows, typically structured around: An agent’s effectiveness hinges on its ability to: ✅ Generate structured plans by intelligently combining tools and knowledge (e.g., correctly sequencing API calls for a customer refund request).✅ Validate each task step to prevent errors from compounding.✅ Optimize computational costs in long-running operations.✅ Recover from failures through dynamic replanning.✅ Apply multiple validation strategies, from structural verification to runtime testing.✅ Collaborate with other agents when consensus-based decisions improve accuracy. While multi-agent consensus models improve accuracy, they are computationally expensive. Even OpenAI finds that running parallel model instances for consensus-based responses remains cost-prohibitive, with ChatGPT Pro priced at $200/month. Running majority-vote systems for complex tasks can triple or quintuple costs, making single-agent architectures with robust planning and validation more viable for production use. Memory & Retrieval AI agents require advanced memory management to maintain context and learn from experience. Memory systems typically include: 1. Context Window 2. Working Memory (State Maintained During a Task) Key context management techniques: 3. Long-Term Memory & Knowledge Management AI agents rely on structured storage systems for persistent knowledge: Advanced Memory Capabilities Standardization efforts like Anthropic’s Model Context Protocol (MCP) are emerging to streamline memory integration, but challenges remain in balancing computational efficiency, consistency, and real-time retrieval. Security & Execution As AI agents gain autonomy, security and auditability become critical. Production deployments require multiple layers of protection: 1. Tool Access Control 2. Execution Validation 3. Secure Execution Environments 4. API Governance & Access Control 5. Monitoring & Observability 6. Audit Trails These security measures must balance flexibility, reliability, and operational control to ensure trustworthy AI-driven automation. Conclusion Building production-ready AI agents requires a carefully designed infrastructure that balances:✅ Advanced memory systems for context retention.✅ Sophisticated planning capabilities to break down tasks.✅ Secure execution environments with strong access controls. While AI agents offer immense potential, their adoption remains experimental across industries. Organizations must strategically evaluate where AI agents justify their complexity, ensuring that they provide clear, measurable benefits over traditional AI models. 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 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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