XTraw AI: Machine Learning and AI Applications

When AI agents are trusted to act, who decides when they should stop?
In this Season 20 finale of XTraw AI, Raghu Banda sits down with Ashley Gross, Founder and CEO of The Alliance and author of The AI Workweek, to explore what enterprise-ready agentic AI really demands beyond the technology.
How to design quality gates, approval points, and clear ownership for AI agents

Why agent failures are often silent—and what enterprises should monitor instead

How leaders can decide which business processes are truly ready for agent-assisted work

You can reach @ Ashley Gross
My LinkedIn @ Raghu Banda
More information @ XTraw AI

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.

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 @ Aravind Arthanari
My LinkedIn @ Raghu Banda
More Info @ XTraw 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