Governed AI

Your AI governance policy is impressive. Your AI governance reality is chaos. 65% of AI tools in the average enterprise operate without IT oversight. Shadow AI already accounts for 20% of data breaches, adding $670,000 to incident costs. Meanwhile, the EU AI Act takes effect August 2026 with fines up to €35 million or 7% of global revenue. Most governance frameworks fail because they're built for a world where AI deployments are centralized and controlled. That world is gone. Employees use ChatGPT in spreadsheets. Teams deploy models without approval. Vendors embed AI in products you already purchased. This playbook builds governance that works in reality: automated discovery, continuous monitoring, risk-tiered controls, and audit infrastructure that proves compliance without creating bottlenecks. The result: AI that moves fast because governance enables it rather than blocking it.

This playbook fits organizations facing these common challenges:

• 01Shadow AI proliferating faster than governance can track—employees using unauthorized AI tools with sensitive data daily
• 02No inventory of AI systems in production, development, or embedded in vendor products you already purchased
• 03EU AI Act, CCPA, HIPAA, and industry regulations each requiring different controls with overlapping deadlines
• 04Model drift degrading performance over time with no systematic detection or remediation process
• 05Audit requests requiring weeks of manual evidence gathering that still produces incomplete documentation
• 06Governance perceived as bottleneck—teams routing around controls rather than working within them

• AI Asset Discovery: Automated scanning for AI usage across the enterprise—sanctioned tools, shadow deployments, vendor-embedded AI. You can't govern what you can't see.
• Risk-Tiered Framework: Classify AI by risk level aligned to EU AI Act categories. High-risk systems get intensive controls. Low-risk moves fast with light oversight.
• Continuous Monitoring: Model performance tracking, drift detection, and anomaly alerting. Move from point-in-time validation to ongoing assurance.
• Automated Compliance: Map regulations to controls once, generate evidence continuously. Audit-ready documentation without manual assembly.
• Integrated Audit Trail: Every model decision logged with inputs, outputs, version, and lineage. Immutable records for regulatory inspection.
• Governance-as-Enabler: Self-service risk assessment, pre-approved patterns, fast-track for low-risk use cases. Make the governed path the easy path.