AI Governance & Risk
Build governance that helps teams move with confidence by making AI ownership, boundaries, review, and evidence explicit.
AI governance should enable informed action, not exist as a document disconnected from delivery. It translates organizational principles and obligations into decisions teams can apply throughout discovery, development, procurement, launch, and operations.
This service creates a proportionate governance system based on use-case risk, data sensitivity, human impact, autonomy, and scale, with clear ownership and evidence at each decision point.
Teams experiment without consistent boundaries
Ownership and approval paths are unclear
Policies do not translate into delivery controls
Risk evidence is scattered or created too late
Practical policy and acceptable-use guidance
Risk-tiered review and approval workflow
Clear roles, ownership, and escalation
Reusable evidence and control templates
Governance Framework
Principles, scope, roles, decision rights, risk tiers, lifecycle checkpoints, and accountability model.
Risk Assessment
A repeatable method covering data, security, accuracy, bias, transparency, autonomy, human impact, and vendors.
Control Library
Proportionate controls for validation, human review, access, monitoring, incident response, records, and change.
Delivery Toolkit
Intake, review, approval, model card, vendor assessment, launch checklist, and exception templates.
Understand
Map current AI use, obligations, stakeholders, policies, risk appetite, and decision bottlenecks.
Design
Define proportional risk tiers, roles, lifecycle gates, minimum evidence, controls, and escalation paths.
Pilot
Apply the framework to representative use cases and refine it with delivery, security, legal, and business teams.
Adopt
Launch guidance, templates, training, ownership, review cadence, and a path for continued improvement.
Organizations scaling AI beyond isolated pilots
Regulated or high-trust businesses
Teams procuring AI tools and vendors
Leaders creating responsible AI operating standards
Let's talk