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.
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.