Data strategy through
to delivery.
I work with teams deciding what to build, how their data should support it, and how to get it into use.
Data and AI platform strategy
Turn a business goal into a sequenced platform plan: data ownership, governance, architecture, investment, and adoption.
Discuss strategyApplied AI product sprint
Take one valuable use case from a clear problem statement to a working prototype, evaluation plan, and production roadmap.
Discuss a prototypeServices and adoption design
Design the offering, delivery team, statement of work, and customer handoffs around measurable platform use.
Discuss deliveryHow an engagement starts.
Define the decision
Define the people, the decision, and the constraints. Agree on what useful progress looks like before choosing a technology.
Map the data and controls
Map the data and its ownership. Make quality, permission, evaluation, and human review part of the design. ADVA demonstrates a governed integration path; OG-SR provides an architecture for policy enforcement, human oversight, and verifiable evidence.
ADVA Integration Platform OG-SR Governance Framework
Test the workflow
Build a focused prototype. Test with real workflows. Use what we learn to shape a credible delivery and adoption plan.
Tell me what you’re building.
Share where you are, what’s getting in the way, and where I can help.