Know where AI is being used
Build a reliable inventory of every AI system, its purpose, owner, data, lifecycle, and business impact.
12 systems discovered → 3 require immediate review
2-MINUTE PRODUCT TOUR
Turn AI governance into an operating system.
See how leaders move from an unknown AI landscape to accountable decisions and audit-ready evidence.
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Experience the guided tour
Turn on spoken narration and follow the governance process from discovery to board reporting.
Prodigi AI GovernanceFictional demonstration data
01 · DISCOVER
AI system inventory＋ Register
02 · ASSESS
Translate use into risk
Classify impact, identify affected groups, and surface risks before deployment—not after an incident.
Automated triage → Accountable human review
DATAFAIRNESSSAFETYOVERSIGHT
INHERENT RISKHIGH
Human impact and sensitive-data use require enhanced controls.
03 · CONTROL
Map once. Govern across frameworks.
Connect practical controls to NIST AI RMF, ISO/IEC 42001, and the EU AI Act without duplicating work.
One control set → Multiple obligations
84%control coverage
AI-04 Impact assessmentNIST AI RMFEU AI Act83%
AI-12 Human oversightISO 42001EU AI Act67%
AI-18 MonitoringNIST AI RMFISO 4200192%
04 · DECIDE
Put evidence beside the decision
Give accountable leaders the risk, controls, open conditions, and evidence they need to approve responsibly.
Clear decision → Permanent audit trail
CD
Credit Decisioning ModelProduction deployment
CRITICAL✓ Impact assessment complete✓ Bias test reviewed✓ Model owner assigned! Human appeal path open
05 · REPORT
Show leadership what matters
Turn operational data into a concise view of exposure, decisions, maturity, and accountable next actions.
Live governance data → Board-ready insight
EXECUTIVE AI RISK BRIEF
Q3 Governance Posture
84Maturity
out of 100
out of 100
Key decisions
01 Approve one system with conditions
02 Close two expiring evidence gaps
03 Expand production monitoring
NARRATOR
Start the tour to hear how the Prodigi governance process works.
0:00
1:40
OPERATING PROCESS
From intake to accountable oversight
Each stage produces a defined governance record, decision, or measurable outcome.
Discover
InputUse case, business owner, model, vendor, data, and lifecycle.
OutputComplete AI inventory record with assigned accountability.
Assess
InputPurpose, affected people, decision impact, data sensitivity, and autonomy.
OutputRisk tier, required reviewers, obligations, and treatment plan.
Control
InputRisk tier and requirements from applicable frameworks.
OutputMapped controls, owners, evidence needs, and open gaps.
Decide
InputAssessment, testing, evidence, exceptions, and residual risk.
OutputApproved, rejected, or conditional decision with an audit trail.
Monitor
InputPerformance, drift, incidents, complaints, and expiring evidence.
OutputAlerts, remediation, reapproval, and executive reporting.
Ready to test it with your AI portfolio?
Start with a focused pilot covering your priority systems, risks, and obligations.