Context engineering, AI governance, and what enterprise AI transformation actually looks like from inside the C-suite. Every talk is shaped to the room — no vendor decks, no hype cycles.
Misha Sulpovar is Chief AI Officer at Foley Carrier Services, a DOT compliance SaaS company, where he leads enterprise AI transformation. He is also the WiseOwl at PromptOwl, a context engineering and governance platform, and a contributor to ContextNest, an open standard for addressable AI context.
Misha is the author of The AI Executive: Harnessing the Ungoverned Machine and a regular speaker on context engineering, AI governance, and the operator’s view of enterprise AI. His career spans IBM Watson, The Weather Company, ADP, and Cherre, where he built AI products at the intersection of regulated industries and emerging models.
He is one of the few speakers who is simultaneously an in-seat CAIO doing the work, the WiseOwl behind the platforms shipping the tools, and a published author framing the field — bringing the operator, builder, and strategist perspectives to every talk.
Sessions are shaped to the audience — not pulled off a shelf. These are the threads Misha brings to a stage. Format, length, and depth adjust to the room.
AI value will not accrue to whoever has the best model — it will accrue to whoever controls context, memory, and quality loops. The thinking behind addressable, governable AI context, and what it changes about how enterprises ship trustworthy systems. Drawn from production deployments and the open standard work behind ContextNest.
Most analytical work in the enterprise is still trapped in spreadsheets, decks, and one-off SQL. The next shift is structuring institutional knowledge as a navigable graph that AI can reason over without losing provenance. A working session on what a context web actually looks like, where it pays off first, and what it takes to build one.
Most AI transformation talks are vendor pitches or strategy decks. This is the operator's view: what actually moves inside a complex organization, what gets prioritized, what gets killed, and the gap between AI strategy slides and AI shipping. Honest patterns from regulated industries.
Moderator and fireside chat — Start Fast or Start Right
Panel — A Status Check on AI: What's Everyone Doing?
Panel — AI's Real-World Impact on Real Estate (NYC, Paramount Club)
The Four Eras of Real Estate Tech — Innovation Stage
Closing session — history, governance, and the future of work
Facing the Future: A Structured Approach to AI in Marketing (Atlanta)
Audience-voted sessions on AI and product management
Emerging Digital Global Evolution — AI in real estate at scale
Multi-year speaker on AI strategy, product management, and the executive view
Instructor — AI for Product Management
Executive panel — AI and the future of real estate operations
This Is Not a Drill — Seeing the Real Opportunities Among the AI Hype
Season 4 guest — art, product, and the AI moment
Annual invite-only summit on data and AI in real estate
Industry hackathon partnering Cherre with NYC Open Data Week
Panels on data, AI, and real estate operations
Conferences and guest lectures on AI strategy and product
30–60 min main-stage talk.
Half-day or full-day hands-on session for technical teams.
Moderated discussion or panelist contribution.
Closed-door session for C-suite and board audiences.
Conversational format with host or moderator.
Conferences, executive offsites, podcasts, and board sessions. International travel available. Honoraria and expense reimbursement standard for keynotes; pro-bono available for non-profit and academic events.