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Home / AI Governance

Flagship practice

Adopt AI with confidence. Stay audit-ready.

We help regulated enterprises accelerate AI adoption safely, through governance frameworks, technology risk management, secure engineering practices, and operating models that executives, auditors, regulators, and boards can trust.

The problem we solve

AI is already inside your business. Governance is how it stays an asset, not a liability.

Copilots are writing code, teams are pasting data into chatbots, and vendors are embedding models into every platform you run. Most organizations cannot answer the first question an auditor or regulator will ask: what AI is in use, and who approved it?

We give you the inventory, the risk lens, the approval process, and the controls, so the business can move faster on AI precisely because the guardrails are in place. This is not an AI development shop. It is a governance and technology risk practice.

The practice

Ten offerings.
One governed path to AI.

Engage a single assessment or the full operating model. Every offering produces artifacts your audit committee can file.

01 AI Governance as a Service Framework, operating model, AI inventory, use-case intake, review board, approval workflows, and lifecycle management, run with your teams. → 02 AI Risk Assessments Maturity scoring, model risk, prompt injection, data leakage, hallucination, bias, privacy, and vendor exposure, quantified and prioritized. → 03 AI SDLC Governance Standards and human checkpoints for Claude Code, GitHub Copilot, Cursor, Gemini Code Assist, Amazon Q, and Microsoft Copilot. → 04 AI Policy Development Acceptable use, security, privacy, engineering standards, incident response, and change management, written for auditors and humans alike. → 05 AI Architecture Review Board Independent review of LLM integrations, RAG systems, agents, and copilots, with go or no-go decision support and a full audit trail. → 06 AI Vendor Governance Security, privacy, data residency, retention, and contract review across OpenAI, Anthropic, Microsoft, Google, AWS, Salesforce, and ServiceNow. → 07 AI Readiness Assessment A 2 to 6 week diagnostic: executive scorecard, maturity model, gap analysis, risk heatmap, prioritized roadmap, and a 90-day plan. → 08 AI Control Framework A reusable control library mapped to NIST AI RMF, NIST CSF, ISO 27001, SOC 2, PCI, HIPAA, GDPR, and CCPA. → 09 AI Engineering Excellence DevSecOps, secure CI/CD, platform engineering, and an AI-enabled SDLC that raises productivity without lowering the bar. → 10 Executive AI Advisory Briefings, risk appetite, investment prioritization, and board education for CIOs, CTOs, CISOs, and Chief Risk Officers. →
Controls mapped to the frameworks your auditors already use
NIST AI RMF NIST CSF ISO 27001 SOC 2 HIPAA GDPR PCI DSS CCPA
Executives reviewing a report in a meeting Start here AI Readiness
The entry engagement

Know where you stand in six weeks or less.

The AI Readiness Assessment is a fixed-scope diagnostic that tells your executive team exactly what AI is in use, where the exposure sits, and what to do first. Every finding lands in language the board can act on.

  • Executive scorecard & AI maturity model
  • Current-state assessment & gap analysis
  • Risk heatmap with prioritized roadmap
  • Executive presentation & 90-day implementation plan
Request a readiness assessment →
Source code on a developer screen AI-assisted engineering SDLC Governance
Govern the copilots

Your developers already use AI. Govern it, don't ban it.

Blanket bans push AI coding tools into the shadows; ungoverned rollouts push unreviewed code into production. We implement the standards, review checkpoints, and audit evidence that let engineering teams use Claude Code, Copilot, and Cursor at full speed, safely.

  • AI coding standards & secure prompting guidelines
  • Human review checkpoints & test coverage gates
  • Secrets detection, vulnerability scanning, secure CI/CD
  • Audit evidence collected automatically, not annually
Discuss SDLC governance →
Ongoing programs

Governance is a program,
not a project.

01 · AI Governance as a Service

We stand up and operate your AI governance program on a monthly retainer: intake, review board, approvals, reporting, and continuous policy maintenance.

02 · Virtual AI Review Board

An on-call architecture and risk review function that evaluates new AI use cases, vendors, and integrations, with documented decisions your auditors can trace.

03 · Fractional Chief AI Risk Officer

Senior AI risk leadership without the executive headcount: risk appetite, board reporting, regulatory watch, and program oversight on a fractional basis.

04 · Quarterly AI Risk Reviews

A standing cadence of risk scoring, vendor re-assessment, control testing, and executive readouts that keeps the program current as the landscape moves.

Who we serve

Built for the executives who sign the attestations.

CIOs, CTOs, CISOs, Chief Risk Officers, Chief Data Officers, General Counsel, and board risk committees, in organizations from 500 to 100,000 employees.

Ready when you are

Move fast on AI, with the guardrails in.

Tell us where AI is showing up in your organization. You'll get a scoped engagement plan, a price, and a clear first step, in under 24 hours.