AI Governance
AI Governance Lifecycle
Governance must span the entire AI system lifecycle, not just deployment
Lifecycle Governance
Governance at Every Stage
Most governance failures occur because organizations treat governance as a deployment-time activity. TISAIG's lifecycle framework ensures governance is embedded at every stage — from initial inventory through continuous monitoring.
Inventory & Discovery
Identify all AI systems in use across the organization. Many organizations are surprised by the scope of AI deployment. A complete, accurate inventory is the foundation of every governance program.
TISAIG support
AI Inventory Assessment, AI Governance Readiness Assessment
Risk Assessment
Evaluate governance risk by system, context, and organizational impact. Not all AI systems carry the same risk. Risk assessment determines governance priority and resource allocation.
TISAIG support
AI Risk Assessment, AI Governance Gap Assessment
Policy & Framework Design
Establish governance policies, controls, and accountability structures. Policies must be specific, operational, and enforceable — not aspirational statements.
TISAIG support
AI Policy Development, Enterprise Governance Program, Starter Kits
Implementation & Integration
Embed governance into operational processes, systems, and workflows. Governance that exists only in documents is not operational governance.
TISAIG support
Governance Implementation, Enterprise Governance Retainer, Executive Workshops
Monitoring & Evidence
Continuous oversight, outcome monitoring, and evidence collection. Governance must be sustained, measured, and demonstrated — not declared once and forgotten.
TISAIG support
Quarterly Governance Review, Fractional AI Governance Advisor, Outcome Assurance Evaluation
Govern the Full AI Lifecycle
TISAIG helps organizations embed governance at every stage — from inventory through continuous monitoring.