AI Governance
Command Center™
Turn scattered AI use, policies, and evidence into one accountable operating system—from discovery through board oversight.
Most organizations have AI activity.
Few have a reliable AI operating model.
Teams adopt models and copilots faster than governance groups can identify them.
Assessments, approvals, policies, and testing results live across separate systems.
Leaders lack a defensible record of ownership, risk acceptance, and ongoing oversight.
Everything needed to govern the AI lifecycle.
Designed for technology, cybersecurity, risk, legal, compliance, audit, and business owners.
AI inventory
Register systems, models, vendors, owners, data use, lifecycle, and intended purpose.
Risk assessment
Apply consistent classification based on impact, autonomy, data, and affected groups.
Control mapping
Map one control set across NIST AI RMF, ISO/IEC 42001, and regulatory obligations.
Evidence vault
Connect testing, documentation, and policy evidence to systems and controls.
Accountable approvals
Record conditions, exceptions, residual risk, decision makers, and rationale.
Executive reporting
Translate operational governance into exposure, maturity, decisions, and next actions.
Agent authority
Define what AI agents may access, recommend, execute, and never do—with approval gates, reviews, and emergency shutdown.
Start building the governance program today.
Download the Prodigi AI Governance Starter Framework™, use the Agent Authority Toolkit™, and score your current maturity with the interactive readiness assessment.
Open the free resource library →Govern AI faster—and show what changed.
Prodigi establishes a baseline, tracks operational performance, and separates realized results from targets and estimates. That gives executives a defensible view of how governance supports responsible AI adoption.
Explore the Business Value dashboard →Consulting that turns governance requirements into a working program.
Start with a focused assessment or engage Prodigi to design, implement, and operate the governance model around your organization’s AI portfolio.
AI Governance Readiness Assessment
Establish the current-state baseline, identify priority gaps, and create an actionable governance roadmap.
AI Inventory & Risk Classification
Identify AI use cases, owners, data, vendors, lifecycle status, and risk tier across the enterprise.
Framework & Control Mapping
Map policies and controls across NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal requirements.
Operating Model, Policies & Workflows
Define accountability, decision rights, review gates, exceptions, escalation paths, and governance forums.
Evidence, Audit & Executive Readiness
Organize defensible evidence and translate program performance into executive and board reporting.
Command Center Implementation & Advisory
Configure the pilot, support adoption, and provide ongoing governance guidance as the AI portfolio changes.
Inventory priority systems, establish a risk and control baseline, and deliver an executive findings brief.
Five stages. One auditable process.
Start with the AI systems that matter most.
A practical pilot can establish the inventory baseline, risk model, control mapping, and executive readiness view for a selected portfolio.
- Priority-use-case onboarding
- Risk and control baseline
- Governance workflow configuration
- Executive findings brief
Use fictional data in the public demo, then configure the approach around your organization’s actual governance model.
Open the pilot command center →