AI Governance Foundation Audit
Gap analysis against NIST AI RMF plus Microsoft Foundry control-plane recommendations. The report you hand to InfoSec before the procurement conversation starts.
The engagement tiers on the home page (Discovery, Build, Advisory) are calibrated for full-stack architecture work. These are the smaller, sharper packages — drop-in audits and quickstarts when you know exactly what you need.
Gap analysis against NIST AI RMF plus Microsoft Foundry control-plane recommendations. The report you hand to InfoSec before the procurement conversation starts.
Written review of an MCP server implementation against the OWASP Agentic AI Top 10. Tool-by-tool, auth boundary, output bounds, audit surface — with a remediation list ordered by exploitability.
Live walkthrough of your Azure OpenAI architecture. Diagram of what you have, 5–10 specific recommendations, written summary you can forward.
Live review of your retrieval-augmented generation pipeline. Embedding model, chunking, retrieval strategy, eval harness — what's actually broken and what's noise.
A working Copilot Studio agent wired to one enterprise data source through Azure Functions middleware. OAuth on-behalf-of, scoped to the right DLP zone, generative orchestration enabled, ready for your security review.
Five smaller software, data, report, and automation offers now have public samples. Commerce is disabled while they collect qualified market evidence.
Packages are productized intentionally — what you get is what's on the page. Scope creep is handled by a follow-on package, not by stretching the current one.
Invoice on engagement, deliverables on the stated timeline. If I can't finish on time, you get the work-to-date and a pro-rated refund — your project doesn't get held hostage.
If a package surfaces something that needs a build or an architecture review, I'll say so and point at the right engagement tier. No upsell theatre — fixed packages are stand-alone by design.