Show Notes
In this May 2026 AI news roundup, we move beyond the headlines and look at the bigger shift happening across the AI world: agents are becoming real, enterprises are learning how to manage them, and trust is becoming the gatekeeper for scale. This episode explores how AI is moving from simple chatbots to governed, enterprise-ready agents that can work across business processes. AI agents are entering real workflows: from voice agents and coding assistants to tax, legal, customer service, and advisory use cases. Enterprises now need an agent control plane: with governance, identity, permissions, audit trails, and lifecycle management. Trust is becoming the adoption gate: as safety, observability, evals, and accountability become critical for scaling AI responsibly. The big question for this episode: Are we still talking about better AI models, or are we now entering the era of managed AI workers? You can reach @ Sesh @ Lukas @ Manjeet @ Raghu
More from XTraw AI: Machine Learning and AI Applications
What separates an AI pilot that impresses from one that actually runs the business? In this episode, Xtra — our AI host, interviews Raghu Banda and Shibaji Chandra, co-authors of Agentic AI with SAP (SAP PRESS, 2026), on what it really takes to put autonomous agents to work inside an SAP landscape. No hype, no slideware, just the architecture underneath the Autonomous Enterprise, from two practicing architects who’ve had to defend it to an audit committee. Why ~75% of enterprise AI stalls in pilot — and why the blocker is almost never the model Copilot vs. agent — what changes the moment software stops answering and starts acting on your system of record Build it, run it, trust it — the three build paths, agent security and governance, and how to prove real business value You can reach @ Raghu Banda @ Shibaji Chandra on LinkedInMore info at XTraw AI Book details at Agentic AI with SAP (SAP Press)
Can we truly trust AI if we cannot explain, evaluate, or govern its decisions? In this episode of XTraw AI, host Raghu Banda welcomes Deonna Owens, Founder of TruthSysAI, and Aravind Arthanari, CIO of DashAI, to explore how AI fairness, research, and enterprise governance come together to build trustworthy AI systems. Key Highlights: Beyond AI Bias: Exploring fairness, multi-LLM evaluation, and the challenges of building responsible AI.
AI in Q3 2026 was not just about better models but it was about AI beginning to act, connect, reason with context, and operate across real workflows. In this XTraw AI quarterly roundup, our panel unpacks the biggest developments across agents, orchestration, enterprise data, frontier models, governance, and AI economics. • Why Q3 may mark the shift from generative AI to agentic AI • How MCP, A2A, context engineering, and persistent agents are reshaping the stack • Why AI is becoming cheaper to use even as the infrastructure race gets dramatically more expensive A fast-moving quarter, six major themes, and one big question: Are enterprises ready to give AI responsibility, not just tasks? You can reach @ Lukas @ Manjeet @ Sesh @ Raghu Website and more info at XTraw AI
Generic AI can generate impressive answers but does it really understand your company, its strategy, culture, institutional knowledge, and how leadership makes decisions? In this episode of XTraw AI, Raghu Banda speaks with Wade Wyant, Founder of REDEGADES.AI, about moving beyond generic AI toward private, company-specific intelligence built as an AI Co-CxO. We explore: • Why generic AI falls short when business decisions require deep organizational context • How private AI can capture institutional knowledge and challenge executive assumptions • Where human judgment and accountability must remain as AI enters the executive decision-making process A thought-provoking look at what comes after generic copilots when AI that actually understands the business You can reach @ Wade Wyant My LinkedIn @ Raghu Banda Website @ XTraw AI
What if AI doesn’t just understand your decisions but starts influencing them? In this episode of XTrawAI, Raghu Banda speaks with Rana Gujral, CEO of Behavioral Signals and author of The AI Instinct, about the emerging intersection of AI, neuroscience, behavioral science, and human decision-making. • Can AI really understand emotion, intent, trust, and human behavior? • When does intelligent assistance cross into behavioral influence? • Are cognitive AI and hybrid intelligence redefining what it means to think with machines? You can reach @ Rana Gujral My LinkedIn @ Raghu Banda Further info @ XTraw AI