Consulting services

Make AI practical, trusted, and operational.

I help teams connect AI ambition to a clear product strategy, the full system around the model, and a delivery path grounded in how the business actually works.

AI product strategy

Turn a broad AI mandate into a focused portfolio using evidence-based tradeoffs across value, feasibility, cost, risk, and speed.

Opportunity and workflow assessment
Prioritized product roadmap
Success metrics and operating model
Executive narrative and investment case

AI-ready data products

Engineer the full product system—data, infrastructure, governance, and ownership—so analytics and agents can scale on a trusted foundation.

Data product and domain strategy
Semantic and knowledge-layer design
Ownership, reliability, and governance model
Adoption and migration roadmap

Agentic workflow design

Redesign high-value operational work around AI, automation, and human judgment.

Current-state workflow mapping
Agent and human-in-the-loop design
Prototype scope and delivery plan
Adoption, controls, and measurement

LLM evaluation & governance

Define what good looks like before scale makes uncertainty expensive.

Business-grounded test cases
Accuracy and reliability scorecards
Adversarial and failure-mode testing
Monitoring and release standards

A strong fit when

The technology is promising, but the path is not yet clear.

Your team has several AI ideas and needs a disciplined way to prioritize them.

The model works, but data quality, governance, or workflow integration is blocking scale.

Leaders need an actionable roadmap that aligns product, engineering, data science, and operations.

An existing AI product needs stronger evaluation, adoption, or measurable business impact.

Let’s make it useful

Have an AI idea that needs a path to production?

Tell me about it