For buyers
Fractional CISO (fCISO)
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Both
AI architecture
We assess how your knowledge base works today and how to structure it for AI context and agentic integration.
Who it’s for
Teams whose documents, wikis, tickets, and shared drives hold what the business knows, and who want AI tools and agents to use that knowledge well without exposing what they shouldn’t.
We start by assessing how your knowledge base works today: where knowledge lives, how it’s organized, who can see what, and what’s stale or duplicated. Most AI tools fail quietly here, by answering from the wrong document or one the user shouldn’t see.
Then we design how to optimize it for AI context and agentic integration: what to restructure, how agents should reach it, and the permissions and data-handling rules that go with that access. If you want the integration built, we scope that separately.
Deliverables
- An assessment of your current knowledge base: sources, structure, quality, and access.
- A target architecture for AI context and agent access.
- Access-control and data-handling notes for each source in scope.
- A prioritized plan for getting from today to the target.
Timeline
It depends on how many systems hold your knowledge. We quote once we’ve seen them.
Related
Next step
Start with a 30-minute call.
Tell us what you’re working on and when it’s due, and we’ll tell you the first two steps.
30-minute intro call on Google Meet