How much room does finance actually have for AI to be wrong? That question sits at the center of this Enterprise Edge podcast conversation with Georg Glantschnig, Corporate Vice President for Agentic ERP at Microsoft Dynamics 365. (Spoiler: answer is “little to none.”)

The Enterprise Edge CEO and Founder, Mark Vigoroso leads a discussion that digs into a sharp asymmetry: people forgive a colleague's mistake but not an algorithm's - and in finance, where the numbers are binary and every posting needs a trace, that asymmetry drives real architecture decisions.

You'll hear how guardrails get built from deterministic business logic and company policy rather than left to chance, why accountability never actually shifts onto the agent itself, and how a move from code-first to model-first design is reshaping what an ERP system even is.

There's also a clear-eyed look at the messy economics of consumption-based pricing replacing seat licenses, why month-end close could be the proving ground for continuous-close finance, and what emerging roles like "finance agentorchestrator" suggest about where accounting work is headed.

For anyone trying to separate real operational leverage from AI hype in enterprise systems, stream this episode now and be sure to LIKE, SHARE and COMMENT!

"Three years ago... our success metric was OTIF. Andtoday it's the in-stock. It was a metric known by probably one or two people - I didn't know about it. And today we had our monthly tissue sector reunion, and we mentioned that our in-stock improved by 2%. Everybody was applauding. It's the first time anybody applauded for in-stock results." -- Xavier Duprat, VP, Supply Chain Planning & Fulfillment, Cascades.

Full podcast episode, "Autonomous Decisions at Scale:Making AI Work in the Real World" - https://open.spotify.com/episode/2PmaO3Swf84UXAWSj8yXaE?si=eab7ad0af0e940aa

A DEMO of Supply Chain Planning Reimagined in action!: https://events.sap.com/tee-supply-chain-planning-reimagined/en_us/home.html

Every enterprise leader is chasing their first AI win - but almost nobody is asking what it costs to run that win at scale, every day, forever.

On this episode of The Enterprise Edge podcast, Red Hat Chief Product Officer, Ashesh Badani joins us a month removed from Red Hat Summit 2026 in Atlanta to make the case that "token economics" isn't a buzzword - it's the next architectural decision CIOs can't afford to make too late.

Badani, who watched Sun Microsystems lose its biggest bet to the very open-source wave Red Hat later rode to the top, brings two decades of pattern recognition to a conversation that ranges from...

-- why Red Hat acquired Neural Magic and bet on vLLM for inference efficiency...

-- to the honest tradeoffs between proprietary frontier models and open infrastructure...

-- to the one question from a customer that still catches him off guard.

It's a rare, unscripted look at how the company that helped define open source for the last era is now trying to define what governable, economically sustainable AI looks like for this one - straight from the product chief writing the playbook.

Stream it now and be sure to LIKE, SHARE and COMMENT!