Digital Labor Archives - gettectonic.com

AI at Salesforce: 50% of Work Now Automated, 1 Billion AI Agents Coming

“AI Does 30-50% of Salesforce’s Work” – Marc Benioff Reveals Stunning Automation Shift Salesforce CEO Marc Benioff has declared that AI now handles 30-50% of the company’s workloads—from engineering and coding to customer service—marking a seismic shift in how enterprises operate. In an interview with Bloomberg’s The Circuit with Emily Chang, Benioff described AI as a “digital labor revolution” transforming Salesforce and its customers: “Everything has changed with AI. Customers want its power without the mystique—and we’re delivering that.” Key Takeaways from Benioff’s AI Vision Agentforce: The Fastest-Growing AI Platform in Salesforce History Salesforce’s Agentforce is scaling at unprecedented speed:🚀 5,000+ customers already deploying AI agents🚀 Billions of AI-driven actions monthly🚀 On track for 1 billion agents by 2025 Benioff called it “the most exciting thing we’ve ever done”: “These agents make you more productive, reduce costs, and simplify work. This is what AI was meant to be.” Where Are AI Agents Thriving? The $12 Trillion “Digital Labor Revolution” Benioff predicts AI will unlock – trillion in digital labor value, spanning:🤖 AI agents (like Agentforce)🛠️ Robotic process automation (RPA)📊 Autonomous analytics & decision-making “Digital labor isn’t just coming—it’s here. It’s servicing customers, selling, marketing, even partnering with me on business plans.” Benioff’s AI Co-Pilot The Salesforce CEO revealed he now collaborates with AI alongside human partners: (When asked if AI could replace him, Benioff joked: “Maybe one day!”) Why Salesforce’s AI Outperforms Competitors While acknowledging AI isn’t perfect, Benioff highlighted Salesforce’s edge:✅ 93% accuracy rate (vs. lower competitors due to less data)✅ Real-world business data from 150K+ customers✅ Metadata depth – Contextual understanding beyond raw LLMs “We’ll never claim 100% accuracy, but we’re far ahead of vendors with weaker data foundations.” The Future: AI + Humans, Not AI vs. Humans Benioff’s vision isn’t about replacing people—it’s about augmenting them: “All of us must embrace that AI can do tasks we once did—so we can move to higher-value roles.” What’s Next? 🚀 Ready to deploy AI agents?Contact Tectonic today! “This isn’t just automation—it’s a fundamental reinvention of work.”— Marc Benioff, CEO, Salesforce Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

August 7, 2025in Agentforce Platform, Data, Enterprise, Salesforce

02Aug

Agentforce AI Platform Expands with 200+ Prebuilt Agents

Salesforce has rapidly scaled its Agentforce AI platform, now offering over 200 prebuilt AI agents—a significant leap from the handful available at its October 2024 launch. This expansion addresses a critical challenge for businesses: how to effectively deploy AI automation without extensive technical overhead. Solving the AI Implementation Challenge Enterprises are eager to adopt AI but often struggle with execution. Martin Kihn, SVP of Market Strategy at Salesforce Marketing Cloud, explains: “Customers were excited about AI’s potential but asked, ‘Can I really make this work?’ We took that feedback and built ready-to-use agents that simplify adoption.” Rather than leaving businesses to build AI solutions from scratch, Salesforce’s strategy focuses on preconfigured, customizable agents that accelerate deployment across industries. Proven Business Impact Early adopters of Agentforce are already seeing measurable results: According to Slack’s upcoming Workforce Index, AI agent adoption has surged 233% in six months, with 8,000+ Salesforce clients now using Agentforce. Adam Evans, EVP & GM of Salesforce AI, states: “Agentforce unifies AI, data, and apps into a digital labor platform—helping companies realize agentic AI’s potential today.” Agentforce 3: Scaling AI with Transparency In June 2025, Salesforce launched Agentforce 3, introducing key upgrades for enterprise-scale AI management: Kihn notes: “Most prebuilt agents are a starting point—helping customers overcome hesitation and envision AI’s possibilities.” Once businesses embrace the technology, the use cases become limitless. The Human vs. AI Agent Debate A major challenge for enterprises is how human-like AI agents should appear. Early chatbots attempted to mimic people, but Kihn warns: “Humans excel at detecting non-humans. If an AI pretends to be human, then transfers you to a real agent, it erodes trust.” Salesforce’s Approach: Clarity Over Imitation Kihn illustrates the risk: “Imagine confiding in a ‘sympathetic’ AI agent about a health issue, only to learn it’s not human. That damages trust.” What’s Next for Agentforce? With thousands of AI agents already deployed, Salesforce continues refining the platform. Kihn compares the rapid evolution to “learning to drive an F1 car while racing.” As businesses increasingly adopt AI automation, Agentforce’s library of prebuilt solutions positions Salesforce as a leader in practical, scalable AI deployment. The future? More agents, smarter workflows, and seamless enterprise AI integration. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

August 2, 2025in Agentforce Platform, Agentic AI, Data, Enterprise, Salesforce, Salesforce Marketing Cloud, Technology

09Jul

Augmentation, Not Replacement, at Salesforce

Marc Benioff’s AI Vision: Augmentation, Not Replacement, at Salesforce Salesforce CEO Marc Benioff made waves last week by revealing that 30-50% of the company’s work is now AI-driven—a milestone in its push toward “agentic” automation. But rather than framing AI as a job killer, Benioff insists it’s a collaborative force, augmenting human workers rather than replacing them. AgentForce Hits 1 Million Conversations At the UN’s AI for Good Summit in Geneva, Benioff highlighted Salesforce’s AgentForce—an AI-powered platform integrated with Service Cloud—which has now handled over 1 million customer interactions in just nine months. “We have about 9,000 human support agents. AgentForce has delivered a million conversations—the same as our human agents in that period. But it’s not AI replacing people; it’s AI working alongside them.” Key takeaways: The “Digital Labor” Philosophy Benioff’s vision of “Digital Labor“ positions AI as a co-worker, not a usurper: Job Fears vs. Reality: “Radical Augmentation, Not Mass Layoffs” Despite media hype about AI-driven job cuts, Benioff pushes back: “I don’t see AI causing mass white-collar layoffs. It’s about reshaping work—not eliminating it.” Salesforce’s hiring shifts reflect this: The Bottom Line: AI as a Productivity Multiplier Benioff’s mantra? “Be Customer Zero.” Salesforce is stress-testing AI internally before selling it to clients. The goal isn’t to replace humans—but to supercharge their capabilities. “Let’s take a pause, boost productivity with AI, then scale again. That’s the future of work.” Final ThoughtWhile AI anxiety dominates headlines, Benioff’s augmentation-first approach offers a pragmatic middle ground. For Salesforce—and the broader economy—the question isn’t “Will AI take jobs?” but “How can AI make work better?” Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

July 9, 2025in Agentforce Platform, Salesforce

07Jul

Salesforce Unveils Open AI Ecosystem with Agentforce and MCP Integration

Breaking the AI Interoperability Paradox Salesforce is solving the critical challenge facing enterprise AI adoption—how to balance open innovation with enterprise-grade security. With its upcoming Model Context Protocol (MCP) support for Agentforce, Salesforce is creating the first truly open yet governed ecosystem for AI agent collaboration. The $6T Digital Labor Opportunity Current barriers to AI adoption: Salesforce’s solution enables:✔ Native agent interoperability via open standards✔ Enterprise-grade governance baked into every connection✔ 16x faster deployment than DIY approaches AgentExchange: The Trusted Marketplace for AI Agents Key Innovations Partner Ecosystem in Action Partner AI Agent Capabilities Enabled AWS Unstructured data processing across Bedrock, Aurora DBs, and multimedia Box Intelligent contract analysis and automated workflow triggers Google Cloud Location-aware AI combining Maps, generative models, and transactional data PayPal End-to-end agentic commerce from product listing to dispute resolution Stripe Real-time payment operations and subscription management WRITER Compliant content generation within Salesforce workflows The Salesforce Advantage “With MCP, we’re creating a new category of agent-first businesses,” says Brian Landsman, CEO of AppExchange. “Partners build once and connect everywhere—without the security tradeoffs of traditional integrations.” Enterprise Benefits The Future of Digital Labor This announcement marks a pivotal shift in enterprise AI: Available in pilot July 2024, Salesforce’s MCP integration positions Agentforce as the hub for the next generation of enterprise AI—where security and innovation coexist to unlock the full trillion potential of digital labor. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

July 7, 2025in AgentExchange, Agentforce Platform, Data, Enterprise, Google, Salesforce

03Jul

PepsiCo Pioneers Enterprise AI with Salesforce Agentforce

A Global First: PepsiCo Deploys Salesforce Agentforce at Scale PepsiCo has made history as the first major food and beverage company to implement Salesforce Agentforce AI agents across its global operations. This landmark partnership signals a transformative shift in how enterprises leverage AI for customer engagement, sales, and supply chain optimization. The announcement follows Salesforce’s Agentforce World Tour, where demonstrations in Tel Aviv, London, Zurich, Seoul, and Melbourne drew thousands of business leaders eager to explore AI’s potential. Now, with PepsiCo’s adoption, Agentforce moves from concept to real-world enterprise deployment. Why PepsiCo Chose Agentforce PepsiCo—a $92 billion market leader—isn’t just experimenting with AI; it’s reinventing its operations. The company will deploy Agentforce across: ✅ Customer Support – AI-powered, hyper-personalized interactions✅ Sales Optimization – Real-time inventory insights via Consumer Goods Cloud✅ Data-Driven Decision Making – Unified customer profiles via Salesforce Data Cloud Ramon Laguarta, PepsiCo Chairman & CEO, explains: “AI is reshaping our business in ways that were once unimaginable. This collaboration unlocks smarter decision-making, fuels innovation, and powers sustainable growth.” The AI + Human Collaboration Model Salesforce and PepsiCo emphasize augmentation over automation—where AI agents enhance, not replace, human roles. Marc Benioff, Salesforce CEO, highlights the vision: “PepsiCo is reimagining work by uniting human expertise with AI intelligence. This is the future of digital labor.” Athina Kanioura, PepsiCo’s Chief Strategy Officer, adds: With Agentforce, we’re building an enterprise where humans and AI collaborate—driving efficiency, resilience, and readiness for the future.” Addressing AI’s Impact on Jobs At the London Agentforce Tour, Zahra Bahrololoumi (Salesforce UK & Ireland CEO) clarified: “Our goal is to boost human productivity, not eliminate jobs. Some tasks are best handled by AI, others require human judgment.” A Blueprint for Enterprise AI Adoption PepsiCo’s deployment is a watershed moment for AI in consumer goods: 🔹 Scale: Impacts billions of daily product interactions across 200+ countries🔹 Integration: Combines Data Cloud, Consumer Goods Cloud, and Agentforce AI🔹 Innovation: Moves beyond automation to AI-driven decision intelligence What’s Next? If successful, PepsiCo’s implementation could accelerate global AI adoption—proving that enterprise-ready AI isn’t just theoretical. The Bigger Picture: AI’s Role in the Future of Business PepsiCo’s bold move underscores a critical shift: Will your business be next? 📈 Explore how Agentforce can transform your operations – Contact Salesforce AI Experts Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

July 3, 2025in Agentforce Platform, Agentic AI, Atlas Reasoning Engine, Data, Enterprise, Salesforce, Salesforce Data Cloud, Technology

03Jul

Salesforce Launches Agentforce 3

Salesforce Launches Agentforce 3: The Next Evolution of Enterprise AI Agents Transforming Businesses with AI-Powered Digital Workforces Salesforce has unveiled Agentforce 3, a major upgrade to its AI agent platform designed to help enterprises build, optimize, and scale hybrid workforces combining AI agents and human employees. At the heart of the update is Agentforce Studio, a centralized hub where businesses can:✔ Design AI agents for specific tasks✔ Test interactions in real-world scenarios✔ Optimize performance with advanced analytics “We’ve moved past just deploying AI—now we’re refining it,” says Jayesh Govindarajan, Salesforce’s EVP of AI & Engineering. Solving the “Step Two” Problem: Making AI Agents Smarter & More Reliable While 3,000+ businesses are already building AI agents on Salesforce, a critical challenge emerged: How do you maintain and improve AI performance after deployment? Key Upgrades in Agentforce 3 🔹 Real-Time Observability – Track AI and human interactions via Agentforce Command Center🔹 Web Search & Citations – AI agents can now pull external data (with source transparency)🔹 Pre-Built Industry Tools – Accelerate deployment with 100+ ready-made AI actions🔹 Multi-LLM Support – Choose between OpenAI, Anthropic’s Claude, or Google Gemini🔹 Regulatory Compliance – FedRAMP High Authorization enables public sector use Real-World Impact: AI Agents in Action 1. OpenTable 2. 1-800Accountant 3. UChicago Medicine Pricing & Global Expansion The Future of AI at Work “Agentforce isn’t just automation—it’s a digital labor platform,” says Adam Evans, Salesforce’s AI lead. With open standards (MCP, A2A) and 20+ partner integrations (Stripe, Box, Atlassian), businesses can:✔ Scale AI without custom code✔ Maintain full governance✔ Continuously optimize performance The bottom line? AI agents are no longer experimental—they’re essential workforce multipliers. Companies that master them will outpace competitors in efficiency and customer experience. “With Agentforce, we’re gaining a holistic view of operations—enabling smarter decisions across every market.”—Athina Kanioura, Chief Strategy Officer, PepsiCo Next step for businesses? Start small, measure rigorously, and scale fast. The AI agent revolution is here. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

July 3, 2025in Agentforce Platform, Atlas Reasoning Engine, Data, Enterprise, Google, Salesforce

28Jun

How Agentforce 2.0’s New Model Changes the Game

Salesforce Reinvents AI Pricing: How Agentforce 2.0’s New Model Changes the Game From Conversations to Actions: Salesforce’s Bold Pricing Shift When Salesforce launched Agentforce 2.0 in October 2024, it raced ahead of competitors like Microsoft, SAP, and ServiceNow, positioning itself as the go-to platform for enterprise AI agents. The initial -per-conversation model worked well for simple use cases—like AI handling frontline customer chats—but as businesses experimented further, limitations emerged. Now, Salesforce is rolling out a game-changing update: action-based pricing. The New Pricing Model: Pay for What the AI Actually Does Bill Patterson, EVP of Corporate Strategy at Salesforce, explains: “We’re moving to an action-oriented model—charging for the actual work AI agents perform, not just conversations.” Key Features of the New Pricing: ✅ Flex Credits – Universal currency for AI actions across Sales, Service, and Marketing Clouds✅ $0.10 per action (20 credits) – Only pay when the AI completes a task✅ No hidden fees – Unlike hyperscalers, no separate charges for compute, storage, or LLM calls Example: “Think of it like electricity—you don’t pay differently for your fridge vs. your stove. Flex Credits power all AI agents uniformly.”— Bill Patterson Two Major Additions: Flex Agreement & Digital Wallet 1. Flex Agreement: Convert Unused Licenses into AI Credits Many companies overbuy CRM licenses during hiring surges. Now, they can trade unused licenses into Flex Credits for AI agents. Why It Matters: 2. Digital Wallet: Control & Monitor AI Spending A new centralized dashboard lets companies:📊 Track AI agent usage in real-time🛑 Set spending limits (e.g., cap expensive agents)📈 Measure ROI per agent “This isn’t about nickel-and-diming customers—it’s about fair, scalable pricing that grows with AI adoption.” How Does Salesforce Compare to Competitors? Pricing Model Salesforce Hyperscalers (AWS, Azure) AI Startups Basis Actions completed Compute + microservices “Employee replacement” flat fees Flexibility ✅ Universal Flex Credits ❌ Complex tiered pricing ❌ Rigid per-agent costs Transparency ✅ Clear per-action cost ❌ Hidden API/LLM fees ✅ Fixed but inflexible Salesforce’s edge? Agentforce One: The Next Evolution Coming in July 2025, Salesforce is rebranding Einstein One as Agentforce One—a bundled AI package for Sales & Service Cloud users. What’s Included? Goal: Lower the barrier to entry and accelerate AI adoption across Salesforce’s 150,000+ customers. Will This Boost Agentforce Adoption? ✅ 8,000 companies already use Agentforce (fastest-growing Salesforce product ever).✅ Flex Credits remove cost uncertainty.✅ Digital Wallet enables better budgeting. But… 8,000 is just 5% of Salesforce’s customer base. The new pricing could be the push needed to unlock mass adoption. The Bottom Line Salesforce’s pricing shift isn’t just about cost—it’s about trust. By moving to action-based billing, they’re ensuring customers:✔ Only pay for valuable AI work✔ Can scale AI across departments✔ Gain full visibility into ROI What’s next? As AI costs normalize, Salesforce’s flexible, transparent model could set the industry standard. 🚀 Ready to explore Agentforce?Contact us today! “This is the pricing model AI-powered businesses have been waiting for.”— CIO, Fortune 500 Salesforce Customer Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

June 28, 2025in Agentforce Platform, Data, Enterprise, Salesforce

20Jun

Salesforce’s Enterprise General Intelligence

Salesforce is carving a distinct path in the AI landscape, diverging from the industry’s pursuit of Artificial General Intelligence (AGI). Instead, the company is tackling a pressing, practical challenge: ensuring AI is reliable for enterprise use. Salesforce’s Enterprise General Intelligence (EGI) framework prioritizes consistency, safety, and trustworthiness over speculative potential, aiming to deliver dependable AI for real-world business applications. The EGI FrameworkLarge language models (LLMs) excel at tasks like drafting emails or analyzing datasets but often exhibit “jagged intelligence”—impressive in some areas yet prone to basic errors or fabrications, known as hallucinations. These inconsistencies pose significant risks in enterprise settings, where errors can lead to compliance issues, financial losses, or eroded customer trust. Salesforce’s EGI framework addresses this by focusing on infrastructure that ensures AI reliability today, rather than chasing futuristic goals. From Inconsistency to DependabilitySalesforce likens LLMs to “an intern who writes flawless code but forgets to save the file.” To address this uneven performance, the company is enhancing its AI agents with layered reinforcement to boost consistency. Central to this effort is Agentforce, Salesforce’s agentic system, supported by the Atlas Reasoning Engine, which integrates internal and external data for more accurate reasoning and retrieval. Together, these form the core of EGI, aiming to make digital labor predictable and trustworthy. Rigorous Testing in Real-World ScenariosRather than relying solely on traditional benchmarks, Salesforce introduced CRMArena, a simulated environment that tests AI agents on practical CRM tasks like service support and analytics. Initial results show success rates below 65%, even with guided prompting, underscoring the challenges. However, this is precisely Salesforce’s point: stress-testing AI in realistic conditions exposes weaknesses before deployment, ensuring reliability in customer-facing roles. A Platform for Enterprise TrustSalesforce emphasizes that enterprises need more than powerful models—they require systems guaranteeing predictability and accountability at scale. EGI is positioned as a practical, present-focused solution, sidestepping AGI hype to deliver AI that businesses can trust today. While its long-term impact remains to be seen, Salesforce’s approach signals a pragmatic step toward reliable, enterprise-ready AI. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

June 20, 2025in Data, Enterprise, Salesforce

17Jun

Slack News from Salesforce

Starting today, we’re updating Slack plans and pricing to expand access to AI, Agentforce, and Salesforce for organizations of all sizes. With these changes, customers will benefit from native AI, access to digital labor, deeper CRM integrations, and enterprise-grade security so they can grow faster with Slack. Since our last pricing adjustment in 2022, Slack has evolved into a unified work operating system and conversational interface for all your enterprise apps, data, and agents. Now more than ever, AI, data, and security are integral to Slack and essential for bringing AI agents successfully into the digital employee experience. We are committed to giving every team an onramp to AI-powered productivity in Slack — and every organization a secure foundation to grow with digital labor. That’s why we’re simplifying our pricing and bringing innovations into the core Slack experience across all our plans. Slack users gain new features across every plan We’re integrating AI features across all paid plans, adding summarization and huddle notes to the Pro plan, while supercharging our Business+ plan with a range of AI features including workflow generation, recaps, translation, and search. Our new Enterprise+ plan unlocks AI-powered enterprise search and evolved task management capabilities across your organization. Additionally, AI agents from Agentforce and partner AI apps can now be deployed in all paid plans. Every Salesforce customer will get Slack (Free Plan) with access to Salesforce integrations in Slack, so every team can collaborate around CRM data with Salesforce Channels in Slack or from Salesforce. Business+ and Enterprise+ teams will gain premium Salesforce features to forecast revenue, swarm deals, coordinate approvals, and respond to real-time event triggers. We’re enhancing security across all plans, bringing session duration controls and native device management to all of our plans — including Free, and adding SAML-based SSO for Salesforce customers — giving every team a trusted foundation to securely connect their people, data, AI, and agents. What’s changing with Slack pricing Slack is the work operating system for the agentic era These plan additions reflect our rapid pace of innovation over the last 18 months to deliver the most comprehensive work operating system for the era of AI and digital labor. Together, we are reinventing work for the age of digital labor. Humans are at the center — connected in conversation, amplified by AI, with instant access to contextual data — all built on a strong foundation of security and trust. For more information on these updates, visit the Slack Plans page or contact your account representative. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

June 17, 2025in Data, Enterprise, Generative AI, Google, Salesforce, Salesforce Slack

16Jun

Supercharge Your Business with AI Agents & Industry-Specific Innovations

Salesforce Summer ’25 Release: Supercharge Your Business with AI Agents & Industry-Specific Innovations Transform Every Function with Smarter Digital Labor The Summer ’25 release delivers hundreds of AI-powered enhancements across Salesforce, with Agentforce at the center—empowering businesses to deploy intelligent digital workers across every department. From automated sales coaching to 24/7 student recruitment, this update brings enterprise-grade AI to every industry. 🚀 Top 5 Agentforce Breakthroughs 1️⃣ Agentforce for Every Employee 2️⃣ Agent Surfaces (Beta) 3️⃣ Web Search in Data Library 4️⃣ Multimodal Support 5️⃣ Instruction Adherence Guardrails 💼 Industry-Specific AI Agents 📚 Education: 24/7 Student Recruitment 🏦 Financial Services: Banking AI Assistants 🔬 Life Sciences: Clinical Site Optimizer 🏛 Public Sector: Complaint Resolution AI 🔥 Sales Cloud: AI That Closes Deals Faster 📊 Smart Pipeline Management 🌍 Multilingual Sales Coaching ✉️ Hyper-Personalized Outreach 🔐 Data Cloud: Trusted AI Foundations 🏷️ AI-Powered Data Tagging 🛡️ Policy-Based Governance 📑 Unstructured Data Revolution ⚡ Zero Copy Framework 💡 Why This Matters “This release isn’t just features—it’s workforce transformation. We’re putting specialized AI employees in every team, with guardrails to ensure trust at scale.”— Salesforce Product Leadership Early Results: Available Now for all customers. Like1 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

June 16, 2025in Data, Enterprise, Salesforce

06Jun

CHROs Plan Major Expansion of Digital Labor and AI in the Workforce

CHROs Plan Major Expansion of Digital Labor and AI in the Workforce: Salesforce Report Salesforce’s global survey of 200 HR executives reveals that Chief Human Resources Officers (CHROs) are preparing for a significant shift toward AI-driven digital labor over the next two years, aiming to enhance productivity and reshape workforce dynamics. Key Findings: Human-AI Collaboration by 2030 Reskilling and Evolving Workforce Needs Future Workforce Structure Challenges and Next Steps Salesforce emphasizes a “cognitive upgrade” approach—reskilling employees to work alongside AI rather than merely transferring tasks to automation. As AI reshapes work, CHROs are positioned to lead this transformation, balancing efficiency with human-centric growth. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

June 6, 2025in Data, Salesforce

22May

Indeed Partners with Salesforce to Revolutionize Employer Support with AI-Powered Agentforce

Streamlining Employer Onboarding Through Intelligent Automation Salesforce has announced that Indeed — the world’s #1 job site with 610 million job seeker profiles and 3.3 million active employers — is implementing Agentforce to transform its employer support operations. By deploying AI-powered digital labor, Indeed aims to automate routine onboarding tasks, reduce response times, and free up human teams to focus on high-value employer relationships that accelerate hiring. The Challenge: Scaling Employer Support Efficiently The Solution: AI Agents That Work Alongside Human Teams Indeed is leveraging Salesforce Agentforce to:✔ Autonomously resolve routine employer inquiries✔ Guide users in real time through account verification & job posting fixes✔ Reduce manual workloads for support staff by ~20-30% Example Use Case:When an employer’s job post gets flagged (e.g., for a too-short description), they can simply ask the AI agent—in plain language—why it was rejected. The agent instantly explains the issue and provides step-by-step resolution guidance. The Technology Stack Powering Indeed’s AI Transformation The Impact: From Administrative Burden to Strategic Relationships “By automating repetitive tasks with Agentforce, we’re empowering our teams to do what humans do best—build trust and solve meaningful problems,” said an Indeed spokesperson. “This isn’t about replacing people; it’s about augmenting them with AI superpowers.” The Future of AI in HR Tech Indeed’s deployment showcases how autonomous AI agents are transforming talent acquisition by: As more enterprises adopt digital labor platforms like Agentforce, expect to see similar AI-driven efficiencies across:✓ Candidate screening✓ Interview scheduling✓ Compliance verification Industry Outlook:*With 72% of HR leaders planning to increase AI adoption in 2024 (Gartner), Indeed’s move positions it as a frontrunner in the AI-powered recruitment revolution.* Ready to explore AI agents for your HR operations? Contact Tectonic. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

May 22, 2025in Data, Enterprise, Mulesoft, Salesforce, Salesforce Data Cloud, Technology

22May

AgentForce Flex Pricing

Salesforce Introduces Flexible Pricing for Agentforce to Accelerate AI Adoption Across Enterprises Salesforce, the global leader in AI-powered CRM, last week announced a new flexible pricing model for Agentforce, its digital labor platform, designed to meet surging demand for AI-driven automation across every employee, department, and business process. As AI adoption accelerates, CIOs face mounting pressure to balance innovation with cost control. According to Salesforce’s CIO AI Trends research, 90% of IT leaders say managing AI expenses is hindering their ability to drive value—a challenge underscored by recent findings from CIO.com. To address this, Salesforce is introducing three groundbreaking pricing innovations that empower businesses to scale AI adoption efficiently, align costs with outcomes, and adapt investments as needs evolve: 1. Flex Credits: Pay Only for the AI Actions You Use Moving beyond traditional per-conversation pricing, Salesforce now offers Flex Credits, a consumption-based model where customers pay only for the specific AI actions performed—whether updating records, automating workflows, or resolving cases. 2. Flex Agreement: Shift Investments Between Human & Digital Labor The new Flex Agreement allows organizations to dynamically reallocate budgets—converting user licenses into Flex Credits (or vice versa)—ensuring optimal resource allocation as business priorities shift. 3. Agentforce User Licenses & Add-Ons: Unlimited AI for Every Employee Salesforce is simplifying AI adoption with per-user-per-month (PUPM) pricing, offering unlimited employee-facing AI agent usage. Seamlessly integrated with Salesforce and Slack, these licenses eliminate usage caps, enabling businesses to deploy AI at scale across sales, service, HR, and IT. Industry & Customer Reactions Availability & Pricing With this move, Salesforce reinforces its commitment to making AI accessible, scalable, and cost-effective for enterprises worldwide. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

May 22, 2025in Agentforce Platform, AI Tools, Artificial Intelligence, Enterprise, Generative AI

06May

The Agentic AI Revolution

The Agentic AI Revolution: Reskilling and Trust as Competitive Imperatives The rise of agentic AI—autonomous systems capable of independent decision-making—isn’t just another tech trend; it’s a fundamental shift in how businesses operate. With AI agents projected to unlock $6 trillion in digital labor value, companies that fail to adapt risk being outpaced by AI-driven competitors. To thrive in this new era, business leaders must focus on two critical pillars: 1. Reskilling for the Age of AI Collaboration The Urgent Skills Gap Key Competencies for the AI Era ✅ Human-AI Collaboration – Managing AI agents, prompt engineering, and oversight✅ Strategic Thinking – Shifting from routine tasks to big-picture planning✅ Leadership & Management – Overseeing AI “teams” and decision flows A Call to Action for Businesses “With AI handling routine coding, developers can now focus on system architecture and innovation—but only if we equip them for this shift.” 2. Trust: The Foundation of AI Adoption The Risks of Unchecked AI Building a Trusted AI Framework 🛡️ Guardrails & Escalation Protocols – Define when AI must defer to humans🔐 Data Protection – Ensure compliance with zero-retention LLM policies (e.g., Einstein Trust Layer)📊 Transparency Tools – Give employees visibility into AI decision logic Salesforce’s Approach: Agentforce The Path Forward: AI + Humans in Partnership Why This Matters Now Key Takeaways for Leaders Linda SaundersCountry Manager & Senior Director of Solution Engineering, Africa | Salesforce “The future belongs to businesses that combine AI’s efficiency with human ingenuity—guided by an unwavering commitment to trust.” Ready to lead in the agentic AI era? The AI revolution isn’t coming—it’s here. The question is: Will your organization be a disruptor or disrupted? Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

May 6, 2025in Agentic AI, Data, Salesforce

23Apr

Salesforce Code Genie

How Salesforce’s Agentforce Is Reshaping Development—Saving 30,000 Hours a Month “AI agents are transforming my role—shifting me from pure technical execution to strategic leadership,” says one Salesforce developer. Instead of spending hours on repetitive tasks like code reviews or debugging, she now focuses on designing scalable architectures, optimizing workflows, and driving innovation. This shift reflects a broader evolution in software development: Developers are becoming AI supervisors, guiding autonomous agents, refining outputs, and ensuring alignment with business goals. Success in this new paradigm requires systems thinking, context management, and strategic oversight—not just coding expertise. Agentforce: The AI-Powered Developer Revolution Salesforce is already leading this transition with Agentforce, its digital labor platform, which has saved 30,000 developer hours per month—equivalent to 15 full-time engineers—by automating routine tasks. Key tools powering this transformation include: Unlike traditional AI coding assistants (which suggest snippets or autocomplete boilerplate), Agentforce agents act autonomously. For example, a developer can simply prompt: “Create a component that calls this API, processes these parameters, and returns success/failure status.” The AI then: The developer’s role? Review, refine, and ensure alignment with broader system goals. CodeGenie: Salesforce’s Internal AI Powerhouse Behind Agentforce lies CodeGenie, Salesforce’s internal AI assistant, built on its proprietary CodeGen model. The results speak for themselves: ✅ 7M+ lines of code accepted✅ 500K+ developer questions answered✅ 30K+ hours saved monthly✅ Seamless integration (IDEs, GitHub, Slack, CLI) “CodeGenie handles repetitive work, freeing me to solve complex problems,” says NaveenKumar Namachivayam, Senior Software Engineer at Salesforce. “It’s like having an expert collaborator—making coding faster, smarter, and more efficient.” Lessons from Salesforce’s AI Journey These insights don’t just benefit Salesforce—they directly shape Agentforce’s external offerings. CodeGenie’s success, for example, informed Agentforce for Developers, ensuring enterprise users get battle-tested AI assistance. The Bottom Line: AI Won’t Replace Developers—It Will Elevate Them Just as cloud computing didn’t kill IT jobs, AI won’t make developers obsolete—it will redefine their roles. The future belongs to those who: 🔹 Embrace AI as a force multiplier🔹 Shift from writing code to orchestrating AI agents🔹 Focus on architecture, strategy, and innovation For organizations, this demands investment in training, culture, and tools that empower teams to lead in the agentic era. The message is clear: Developers who adapt will thrive—not as coders, but as AI-powered strategists. Salesforce’s Agentforce is proving it’s possible today. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

April 23, 2025in Agentforce Platform, Cloud Computing, Enterprise, Salesforce

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