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AI Governance & Compliance

Companies are shipping AI faster than the rules around it are settling. We build the governance that lets you move anyway, defensibly.

The gap between how quickly AI is deployed and how slowly the law settles is where exposure lives. Customers now ask hard questions in procurement, regulators are writing the rules in real time, and a single mishandled model decision can become a litigation or reputational event. Our work is to give you a framework proportionate to your actual risk, one that holds up under each of those pressures without grinding the product to a halt.

We advise both companies building AI products and those embedding third-party models into what they already sell. The deliverable is not a policy that sits in a drawer. It is governance wired into your contracts, your vendor relationships, and your release process.

What we handle

  • Governance frameworks and AI use policies scaled to your risk profile and stage
  • Model, data, and deployment risk assessments, including review of training-data provenance
  • AI-specific contract terms: performance warranties, IP and output ownership, liability allocation, and training-data restrictions
  • Diligence on model and data vendors, and the terms that govern them
  • Regulatory readiness mapped to emerging US state and federal requirements and sector-specific rules
  • Incident, escalation, and human-oversight processes that satisfy customers and regulators

How we work

Assess

We map how AI moves through your product and organization, and where the real exposure sits.

Design

We build a framework proportionate to that risk, not a generic checklist borrowed from a different kind of company.

Operationalize

We translate the framework into the contracts, policies, and processes your team will actually use.

Maintain

The law is moving. We keep your posture current as new rules and customer expectations arrive.

Who this is for

AI-native companies that need governance customers will trust, companies embedding third-party models who need to manage the risk they have just imported, and enterprises formalizing internal AI use before it becomes unmanaged.

Discuss your AI program →