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 Band (https://www.linkedin.com/in/banda/)a @ Shibaji Chandr (https://www.linkedin.com/in/shibaji-chandra/)a on LinkedInMore info at XTraw AI (https://www.XTrawAI.com)
Book details at Agentic AI with SAP (https://www.sap-press.com/agentic-ai-with-sap_6337/) (SAP Press)
9 Oct 2026
#198 Building AI Systems People Can Trust
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.
The Governance Gap: Why enterprise AI needs accountability, transparency, and measurable controls—not just policies.
Trust in Action: How continuous evaluation and governance can help organizations responsibly scale AI and autonomous agents.
Tune in as we explore what it really takes to move from AI that works to AI we can trust.
You can reach @ Deonna Owens (https://www.linkedin.com/in/deonnaowens/) @ Aravind Arthanari (https://www.linkedin.com/in/aravind-arthanari-3949402/)
My LinkedIn @ Raghu Banda (https://www.linkedin.com/in/banda/)
More Info @ XTraw AI (https://xtrawai.com/)
2 Oct 2026
#197 The Quarter AI becomes SI aka Super Intelligence - Q3 2026
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 (https://www.linkedin.com/in/lukas-np-egger/) @ Manjeet (https://www.linkedin.com/in/manjeetmba/) @ Sesh (https://www.linkedin.com/in/seshv1/) @ Raghu (https://www.linkedin.com/in/banda/)
Website and more info at XTraw AI (https://www.XTrawAI.com)
Inside a recent episode
#129 Can AI Transform the Legal Marketing Game
Published 6 Jun 2025 · Transcript excerpt
[…] You know, AI is good at, if you, if you want it, if you want to run your customer records through, through chat GPT for instance, and identify like what was the follow -up sequence based on these three sets of data. Here's the customer record. Here's all the up on emails. Here's the, here's the up on phone calls. What's the pattern of success? Like how many, how many communication attempts do we need to make to get to get the next step of the process going forward? So instead of guessing and just making things, making things up as you go, you can really leverage data analysis that's hard to do because it's unstructured on organized data sometimes. […]
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