Why production AI fails
AI projects fail less because of bad models and more because teams optimize the wrong business constraints. Built from 30+ real engagements — what separates demos from deployments.
Closing the gap between AI capability and organizational readiness.
I train and speak on enterprise AI adoption, scoping, and delivery discipline. The goal is always the same: rooms that leave with clearer thinking, not just new vocabulary.
Corporate training
Half-day and full-day sessions tailored to the audience — executive ROI and governance framing for the C-suite, hands-on implementation for technical teams. The goal is fluency that lasts after I leave, not a one-day event.
- Half-day and full-day upskilling workshops
- Executive briefings on AI governance and risk
- Implementation playbooks for technical teams
Speaking
I speak on the commercial and operational side of AI, drawing on 30+ client engagements and national AI delivery experience at Deloitte. Good for rooms that want practical depth over hype.
- Keynote talks and industry panels
- Podcast appearances on enterprise AI adoption
- Hackathon judging and startup ecosystem events
What I teach and speak on.
Scoping AI properly
Most teams are wrong about where technology belongs in their business. How to find the workflow actually worth automating before anyone writes code.
Fix the process, then apply AI
Automating a broken process makes inefficiency scalable. A Lean Six Sigma lens on where AI genuinely helps.
Evidence and guardrails
Golden datasets, success thresholds, failure categories and escalation rules — what has to exist before autonomy expands.
Booking a room, a team, or a stage.
Tell me the audience and what you need them to leave with, and I will tell you whether I am the right person for it.