AI 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.
The approach
AI governance stopped being optional the moment your customers started asking for it.
Enterprise buyers increasingly want evidence of responsible AI before they will sign, and the standards have settled: NIST AI RMF in the US, ISO 42001 as the emerging management-system baseline, and the EU AI Act for anyone selling into Europe.
Most governance consulting is written by policy specialists who have never shipped a model. The result is a framework nobody in engineering can act on, and a risk register that describes a system nobody recognizes. This is the opposite: controls that map to how your systems actually work, because the same person can read the data lineage and the risk register.
Done well, governance is not a brake on delivery. It is what lets you move faster, because the decisions that would otherwise stall a launch have already been made.
Other services
AI Strategy & Roadmapping
A sequenced roadmap with named owners and honest estimates — not a slide deck that sits in a drawer.
View approachData Foundations & Governance
Lineage, quality, and governance built to carry AI workloads — the layer most AI programs discover too late.
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