What Enterprise AI Actually Wins At (Jon Reed)

Stop chasing flashy multi‑agent demos. The big gains in enterprise AI are coming from focused, context‑driven systems, not agents in a room.

In this year‑end conversation host Andreas Welsch and analyst Jon Reed cut through the noise to explain where AI is failing in the wild and where it's producing measurable business value. Jon lays out the vendor‑customer gap, the real risks of agentic experiments, and the practical architectures that are working today: compound systems, context engineering, RAG/knowledge graphs, evaluation and observability, and right‑time data layers.

What you’ll learn:

• Why multi‑agent orchestration rarely works at scale today and the narrow exception where it does
• How vendors are ahead of buyers, and how leaders should close the gap with clear communication and upskilling
• The difference between treating AI as a worker vs. a tool, and why that choice matters for people and projects
• Practical, enterprise‑ready wins: document intelligence, procurement RFP automation, AP/AR, hyper‑personalization, and focused assistants
• Why explainability, audit trails, and granular autonomy toggles are essential for trust and compliance
• How to approach AI readiness: clean data, metadata/annotation, and composing smaller specialized models into reliable workflows

If you build or buy AI in the enterprise, this episode is full of real examples and honest advice on where to invest, what to avoid, and how to design systems that produce results now, while preparing for broader scale.

Tune in to hear the full conversation and get actionable guidance for turning AI hype into business outcomes.

Questions or suggestions? Send me a Text Message.

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Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.

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