AI Compliance

Navigate the complex landscape of AI regulations with confidence.

Challenge or Context

AI adoption is rising while regulation tightens. From the EU AI Act to rules in healthcare, finance, and employment, leaders face pressure to prove systems are safe, fair, and transparent. Many teams underestimate the scope of the work, which creates exposure to fines, reputational risk, and delays.

Without a clear compliance plan, strong projects stall. A practical framework turns risk into momentum and keeps launches on track.

Our 3-Step Compliance Process

A clear path from risk to readiness.

Identify Risks and Requirements

We run a compliance audit that maps each AI use case to current and emerging rules. The review covers data practices, model risks, documentation gaps, and accountability.

Build Policies and Controls

We create the safeguards your program needs. This includes policies, risk registers, bias checks, evaluation steps, approval gates, audit trails, and templates your team can maintain.

Operationalize Compliance

We embed controls into delivery, train owners, and set up monitoring. Compliance becomes part of the way you ship, which builds trust with regulators, clients, and the board.

Outcomes

Lower Regulatory Exposure

Align programs to the EU AI Act, NIST AI RMF, and ISO 42001. Close gaps before they turn into findings.

Stronger Trust Signals

Show clear policies, controls, and evidence. Win support from leadership, risk teams, and clients.

Faster Approvals

Remove compliance as a blocker. Move from pilot to scale with audit-ready documentation.

Deliverables

Compliance audit report and risk register
Policy set and process playbooks tailored to your sector
Controls and evidence pack for audits and client reviews
Evaluation plan, bias checks, and model change log templates
Training for leaders, product owners, and technical teams
Monitoring checklist and incident response outline

Timeline

Weeks 1 to 2 — Discovery and Audit

Scope use cases, collect artifacts, complete the compliance audit, and draft the risk register.

Weeks 3 to 4 — Policies and Controls

Publish policies, playbooks, evaluation steps, and audit trails. Confirm ownership and sign-offs.

Weeks 5 to 6 — Training and Rollout

Run training, embed controls in delivery, and set up monitoring and a review cadence.

Week 7 and beyond — Support

Ongoing updates, reviews, and evidence refresh on a light retainer.

Proof

$3.05 Million

Cumulative value protected and unlocked across recent programs. Aligned to EU AI Act, ISO 42001, and NIST AI RMF.