The full AI inventory. Across vendor, embedded, and internal.

For finance CIOs and CAIOs, the operating read answers 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.

AI inventory · all tools and agentsscanned 4h ago
Foundation models
07
sanctioned
Copilots
12
sanctioned
Internal agents
18
in prod
Vertical SaaS
23
embedded
Browser extensions
31
shadow
80 AI tools and agents · freshness per row

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 found endpoint-by-endpoint, risk-ranked
  • Framework tags on the rows the auditor will ask about

Start with the 2-week AI Audit.

Leave with the operating read: AI value, AI risk, fluency gaps, owners, and the next funded workstream.