The full AI inventory. Across vendor, embedded, and internal.
For finance. The operating read every CIO and CAIO needs to answer the board on adoption, evaluation, and evidence. One trace pipeline, three pictures.
What you walk in asking.
Three questions every CIO and CAIO is asking right now. We answer each on the same trace pipeline.
How much AI is actually in use?
Most enterprises find 150 to 300 plus tools when they look. One consolidated inventory, week one. Endpoint, network, identity, and internal-agent sources unified.
Are the outputs any good?
No vendor dashboard tells you whether the tool produces good results for your use case. Continuous evaluation in production, not quarterly attestation.
Will it stand up to an auditor?
Framework-mapped evidence emitted as a byproduct of the same pipeline. NIST, ISO 42001, EU AI Act. Add a mapping in a day, not a quarter.
What we do for the CIO.
Four anchors. The CIO leads with visibility. The other three workstreams run on the same trace pipeline.
AI Audit
Two-week deliverable. Every AI tool, embedded feature, and internal agent mapped to the team and the workflow. The wedge.
AI Transformation
Capture-side workstream. Use cases sequenced against business outcomes the CFO already tracks.
AI Governance
Risk-side workstream. Continuous evaluation, policy-as-code, and framework-mapped evidence on the same data.
AI Fluency
Workforce-side workstream. The skill stack that compounds on the inventory you just made visible.
One inventory, finally.
Vendor tools, embedded AI, and internal agents on one list. Sanctioned, pilot, shadow. With owners attached.
Three lists become one.
IT has approved tools. Procurement has invoices. Security has outbound API calls. None of them is complete. We unify the three into one inventory with owners, usage depth, and freshness.
- Vendor, embedded, and internal agents on one list
- Owner, usage depth, status, and freshness per row
- Shadow AI surfaced endpoint-by-endpoint, risk-ranked
- Framework tags on the rows the auditor will ask about
Book the AI Audit.
Thirty minutes to size the discovery surface: employees, devices, SaaS admin access, developer tooling, internal agents, Shadow AI exposure, and the outcome read you need at the end.