AI Use Inventory
Known and suspected tools, accounts, owners, purposes, data routes, approval state, and decision use.
Shadow AI Exposure Review
Find the AI exposure your organization already carries.
Give one accountable executive a decision-grade view of material AI exposure and a practical 30-day control path. Preserve useful adoption while making ownership, evidence, authority, and exceptions explicit.
Decision Record pattern: establish the use, evidence, exposure, authority, and next controlled action before selecting controls or infrastructure.
Start with one business unit, one accountable owner, and the workflows that matter most. Scope and terms follow the fit gate privately.
Decision-grade outputs
See the use. Rank the exposure. Authorize the next action.
The Review converts scattered AI adoption into one governed record without turning the work into a generic audit or hardware sale.
Exposure Register and 30-Day Plan
Supported facts, unknowns, control gaps, targeted containment, ownership, policy, access, logging, training, exceptions, and verification.
Private AI Fit Screen
Workloads that may justify Private Edge, Managed On-Prem, Sovereign Dedicated, or Governed Hybrid deployment, with benchmark prerequisites.
At delivery, the accountable owner can distinguish what is known, suspected, approved, prohibited, and unverified.
The executive Decision Record states what must change now, what can wait, which useful workflows should continue, and whether any private-AI workload should advance.
Use this Review when
Useful AI adoption has moved ahead of the operating record.
A client, board, insurer, regulator, or procurement process may be asking questions leadership cannot yet answer with evidence.
01Leadership cannot name the material useTools, data, accounts, owners, decisions, and obligations are not visible in one record.
02A blanket ban would damage useful workThe organization needs targeted controls, approved paths, and explicit exceptions—not indiscriminate shutdown.
03Private AI is being considered too earlyThe workload, operating boundary, acceptance test, and benchmark prerequisites must be qualified before infrastructure is recommended.
Start with the fit conversation
Bring one accountable owner and one forcing event.
Do not send confidential or sensitive source material through the public form. HONONOH first establishes the evidence-handling path, authority, scope, and acceptance owner.