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AI Decisions

Govern every AI decision.

Every model, platform, tool, and agent the institution pays for — who approved it, what they promised, and whether it delivered. On the record.

A Decision Governance™ module, available as an add-on to any plan. Standalone SaaS coming.

  • One engine
  • Examiner-ready export
  • Add-on to any DG plan

The gap

What goes wrong without it

AI adoption outran governance. The spend is real, the approvals are informal, and the board is starting to ask.

Shadow AI

Models, tools, and agents in production that no inventory has ever counted.

Unsigned spend

Annual AI cost climbing across business units with no formal approval on file.

Promises never measured

A vendor promised a result. Nobody recorded the claim, and nobody checked it.

No answer for the board

“Who approved this, and on what authority?” — and the record doesn’t exist.

The capability

Two surfaces, one record

The inventory the operator works, and the packet the board reads. Same underlying decisions.

01 · THE INVENTORY

The inventory nobody has.

Every governed AI asset in one place — spend, owner, status, and review state at a glance.

  • Annual AI spend, owner coverage, and overdue reviews across the portfolio
  • Every asset with type, vendor, cost, owner, status, and review state
  • Filter by type, status, or review state — sort by cost or urgency
AI Decisions inventory — every governed AI asset with owner, cost, status, and review state
Illustrative data

02 · THE BOARD PACKET

The board packet, on demand.

Spend, coverage, and outcomes across every governed AI asset — the document the board opens.

  • Spend by type, owner coverage, approving-decision and rationale coverage
  • Review status and outcome distribution — delivered, partial, not delivered
  • Exceptions surfaced: in production with no approval, reviews overdue 90+ days
AI Portfolio review — spend by type, review status, outcome distribution, and exceptions
Illustrative data

How it fits

The same engine, a new domain

AI Decisions isn’t a bolt-on. It’s one more workflow on the Decision Semantics™ Engine — inheriting the record, the maturity model, and the export you already trust.

One entitlement — module pricing, not a second product
The same five-stage record: signal, owner, decision, action, outcome
An annual review is a new decision — renew or retire, on the record
Scored on the same six DGMM facets as every other workflow
Per-asset and portfolio exports — examiner-ready PDF on demand
Authority, tenant scoping, and audit trail inherited, not rebuilt

The inventory the board will ask for — before they ask.

Add AI Decisions to Decision Governance. Same engine underneath.

Illustrative data throughout. Riverdale Community Credit Union is a fictional institution.