Putting AI in front of enterprise data: how we govern it.
Our AI Identity & Access Risk engagement. The questions a CIO should answer before the first Copilot rollout — and the artefacts we leave behind so the answers stay good.
AI assistants are now reading mailboxes, customer records, contracts, source code, and cloud configuration. The access is real, the entitlements are blurry, and the audit trail is thinner than most organisations realise.
Our AI Identity & Access Risk engagement is a six-week piece of work that answers, in writing, four questions a CIO should be able to answer before any further AI rollout.
First: what data can each assistant see, today, at run time, including indirect access through tools and connectors. Not what the policy says — what the configuration permits.
Second: when an assistant performs an action on a user’s behalf, whose identity is on the line, and whose log records the action. The machine’s, the user’s, or neither.
Third: what happens when the assistant gets it wrong. Where is the rollback, the human-in-the-loop, the rate limit, the kill switch.
Fourth: when an employee leaves, what does the assistant still remember, and on whose authority does that memory persist.
The deliverable is a governance pack. Tenant configuration changes, role and entitlement design, agent identity standards, prompt and tool policy, evaluation harness, and an incident runbook for AI-specific failure modes.
It is a service engagement, not a product purchase. We do not sell licences. We make existing tools — Microsoft Purview, Okta, your IDP, your DLP — do the work they were bought to do.
→ Book a Discovery for AI governance.
When off-the-shelf software stops fitting.
The signs your business has outgrown a SaaS tool, the workarounds that compound, and how to tell whether custom software is the answer — or whether you just have not configured what you already pay for.
AI inside the work, not next to it.
Why ChatGPT in a browser tab does not move the needle on your business. What “AI inside the work” actually looks like — three patterns we ship most often, and where each one earns its keep.
Inside a Flowuity Discovery.
A look at the two-week paid engagement that begins every Flowuity build. What we read, who we interview, what the memo contains, and why a clear no is the most useful outcome.