The voice of AI, Data and Innovation
About the Guest
Ajay Kumar
Head of AI Product Growth, Salesforce
Ajay leads AI Product Growth at Salesforce, where he drives the development and enterprise-scale adoption of intelligent agents across complex business environments. With a passion for scalable innovation, Ajay focuses on embedding adaptive AI agents across industries, transforming how enterprises automate complex workflows. He has also contributed to integration efforts at MuleSoft and supported platform initiatives across AdTech and MarTech within Salesforce.
Brief About the Episode
In this episode of TeqTalk With Jas, Ajay Kumar explores how Agent Force is evolving from pilot chatbots into deeply embedded, intelligent agents that power real-time decisions across large enterprises. From Salesforce’s acquisition of convergence.ai to real-world deployments that cut support calls by over 80%, this episode uncovers the agent architecture, enterprise challenges, and multi-agent orchestration strategies that are reshaping the future of digital labor. Whether you’re in finance, retail, or tech—this is a playbook for operationalizing AI at scale.
Key Learnings for Leaders
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From Bots to Autonomous Agents
Enterprises are evolving from FAQ chatbots to intelligent agents embedded deep within operational workflows delivering measurable ROI and long-memory, multi-system orchestration.
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Enterprise-Grade Agent Architecture
Ajay outlines the building blocks of Agent Force such as roles, topics, instructions, guardrails—designed for domain specificity, privacy, and explainability across high-stakes environments.
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Interoperability Is the Future
With open protocols like MCP and A2A, Salesforce enables multi-agent ecosystems that work across clouds, platforms, and data stacks, allowing AI to act wherever the business needs it.
AI isn’t just assisting your workforce—it’s becoming part of it
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