AI product leadership
Enterprise AI, made useful.
I help teams turn promising AI work into useful products: clear ownership, reliable decisions, and measurable outcomes.
Proof
Evidence from production work.
Selected numbers showing scale, scope, and measured commercial impact.
Where I help
Where AI becomes operational.
The work usually sits in three connected places: production readiness, better decisions, and trusted measurement.
Production
Move from pilot to product.Clarify ownership, controls, adoption, and the feedback loop needed for production.
DecisioningImprove the choices the system makes.Use customer, product, and business signals to improve relevance.
MeasurementMeasure what changed.Set up experiments and guardrails so leaders can see impact and keep learning.
De:Coded
A practical AI briefing for busy operators.
De:Coded turns AI news into plain-English context: what changed, why it matters, and where it may affect product, measurement, or enterprise adoption.
1Track relevant AI signalsmodels, agents, developer tools, governance
2Put them in contextbuild, buy, measure, govern, wait
3Share useful analysisDe:Coded, the AI wiki, LinkedIn, advisory conversations
Advisory and product leadership
For AI work that needs to stand up in production.
If you are shaping an AI product, decisioning system, or measurement approach, I can help clarify the path from idea to operating capability.