Control evidence refreshed Aug 10 · 15:00 UTC
Enterprise AI control intelligence
Move fast.
Stay accountable.
Govern AI from idea to production with explicit risk tiers, lifecycle gates, control evidence, decision ownership, and explainable readiness.
AI readinessReview
63/100
Executive posture
Stop the unsafe path. Accelerate the governed path.
2 stop decisions · 6 exceptions · 4 executive actions
01 / Use-case portfolio
One inventory. Different control depth.
Risk tier determines review depth and evidence—not whether teams can innovate. Select a use case to inspect its readiness and active control rules.
Use caseStageRiskReadinessExceptions
How AI readiness is calculated +
Accountability
Named business, technical, and risk owners with explicit decision rights.
Data & privacy
Data provenance, minimization, consent, retention, and privacy-review evidence.
Model safety
Evaluation coverage, harmful-output controls, explainability, and human oversight.
Security
Threat modeling, access controls, supply-chain assurance, and abuse protection.
SDLC controls
Traceable requirements, test gates, approvals, change control, and evidence freshness.
Operations
Monitoring, rollback, incident response, drift detection, and vendor continuity.
Hard rules: unapproved production use caps readiness at 39 · restricted data without privacy review caps at 49 · critical use without human oversight caps at 54 · missing accountable owner caps at 59 · stale evidence reduces the score by 7.
02 / Lifecycle controls
Controls travel with the product.
Each stage has a decision, evidence expectation, and accountable control owner. Approval is a lifecycle—not a one-time meeting.
1 use case
Discover
Value, prohibited-use, and accountable-owner screen
1 use case
Design
Risk tier, data classification, threat model, oversight design
1 use case
Build
Approved components, traceability, secure implementation evidence
2 use cases
Validate
Safety, privacy, security, performance, and human-factor evaluation
3 use cases
Production
Approval, monitoring, rollback, incident response, periodic review
Control principleProportional rigor. Persistent evidence. Explicit accountability.
Teams move faster when the required evidence is known before implementation begins.
03 / Evidence & exceptions
Make risk acceptance visible.
Exceptions are decisions with owners, expiry dates, compensating controls, and a path back to policy.
Accountability73%
Targeted closure required
Data & privacy72%
Targeted closure required
Model safety63%
Targeted closure required
Security75%
Evidence operating within tolerance
SDLC controls68%
Targeted closure required
Operations60%
Targeted closure required
04 / Adoption trend
Adoption is outrunning readiness.
Evidence coverage is improving, but the latest production exception pulled portfolio readiness down. This is a decision signal, not a reporting failure.
Jul 06
Jul 13
Jul 20
Jul 27
Aug 03
Aug 10
05 / Governance brief
Turn control signals into decisions.
The local brief converts the same visible synthetic evidence into a concise executive narrative. No model call or API key is required.
DEC-301 · Today
Suspend unapproved Change-risk predictor
Production use without current approval
DEC-304 · 48 hours
Complete restricted-data privacy review
Fraud summarizer uses restricted case data
DEC-309 · This week
Fund adversarial evaluation capacity
Three high-risk use cases share the same assurance queue
DEC-312 · This week
Assign Third-party risk analyst owner
High-risk use case has no accountable owner