The Enterprise Edge

The episode contains solid, practitioner-driven insights on agentic ERP architecture, guardrails, eval frameworks, and business model shifts. However, substantial portions consist of leadership philosophy tangents, repetitive explanations of familiar concepts (SaaS-to-consumption model history, continuous close aspirations), and conversational throat-clearing that dilute the density of novel, actionable claims.

“agents can take on this, I call it the routine work, you know, the runs inside your guardrails automatically”

“every impactful technology shift was accompanied by a change in the underlying business model”

Glantschnig articulates some genuinely fresh thinking on MCP server decoupling, model-agnostic orchestration, and the shift from code-first to model-first architecture in agentic systems. However, the broader framing - AI trust asymmetry, continuous close, token-based pricing, autonomous-vs-human liability - recycles well-worn industry talking points without sharp counterargument or true contrarianism.

“instead of, you know, waiting for Microsoft as you know, the classic conversation we had in the past, oh, have a feature request and they talk to us and then we say in six or nine months maybe we can deliver it”

“how can a model basically solve a customer problem?”

Glantschnig is a legitimate CVP at Microsoft with deep practitioner roots (Nokia SAP consulting in 1997, decades in enterprise systems), current operational responsibility for a major product vector (Dynamics 365 agentic ERP), and ongoing customer-facing intimacy. He is not a thought-leader or talking-head; he runs real products and hears real customer feedback at scale. This is solid but not exceptional - he is a vendor representative rather than an independent operator or customer CXO.

“Georg Glashnig is with us from Dynamics 365 and he is the CVP looking after a Gentic ERP”

“I spent I think uh, a year in Helsinki headquarters creating the first global ERP template, you know, to roll out all the subsidiaries”

The transcript includes some named customer references (Lifetime, Coca-Cola) and specific process examples (expense management, account reconciliation, procurement agents), but lacks hard metrics, ROI numbers, timelines, token costs, accuracy benchmarks, or quantified outcomes. Most claims remain architectural or anecdotal; evidence is illustrative rather than empirical.

“Lifetime products and Coca Cola. They're using actual agents, you know, in areas like account reconciliation and areas like product change management”

“maybe 80% of them you can resolve and then 20%, maybe the humans have to do”

The host asks competent, open-ended questions and attempts some follow-ups (e.g., on failure modes, on accuracy tracking), but rarely presses hard on contradiction or incompleteness. Questions are often framed as soft invitations to expand rather than sharp probes. The guest deflects strategic competition questions diplomatically without much pushback, and claims about customer pull and market readiness go largely uninterrogated. The pace favors story-telling over accountability.

“I'm wondering, are there any of those tough lessons from your early consulting days that, that really serve you well even today in your current job?”

“Are you looking? Are you tracking? You know, I don't want to call it quality, precision, accuracy. As these agents roll into production and move to Scale deployment”