AI Strategy & Roadmapping
A sequenced roadmap with named owners and honest estimates — not a slide deck that sits in a drawer.
The approach
Most organizations do not have an AI problem. They have a prioritization problem.
There are too many candidate use cases, not enough signal about which will actually pay off, and no shared language between the people who understand the business and the people who understand the technology.
I guide organizations in defining clear, actionable AI strategies that align with business objectives. From identifying high-impact use cases to building responsible adoption plans, I provide executive-level insight to help you move from exploration to execution with confidence.
The output is not a slide deck. It is a sequenced roadmap with named owners, honest effort estimates, and success criteria you can hold a team to.
Other services
Data Foundations & Governance
Lineage, quality, and governance built to carry AI workloads — the layer most AI programs discover too late.
View approachAI Governance & Compliance
Governance mapped to NIST AI RMF, ISO 42001, and the EU AI Act — written by someone who has built the systems being governed.
View approachAI Platform & Application Development
Production-ready AI systems that integrate with your existing infrastructure — evaluated before launch, observable after it.
View approachAI-Augmented Engineering
AI pointed at your delivery process — feature decomposition, commit-level quality gates, and documentation that stays current.
View approachCourse & Curriculum Development
Technical curricula built as engineering systems, so a course can be corrected in an afternoon instead of rebuilt every few semesters.
View approach