AI Governance Consulting — Policies, Frameworks, and Risk Management for AI-First Organizations.
You are deploying AI across your organization. Regulators are watching. Your board is asking questions. We build the governance programs that let you move fast without creating unmanaged risk — policies, processes, documentation, and culture.
Free 30-minute scoping call. No obligation.
What We Do
End-to-end AI governance — from risk assessment to ongoing management.
We do not hand you a template and walk away. We build governance programs that work in your organization, with your systems, under your regulatory requirements.
AI Risk Assessment
We audit every AI system in your organization, score it by risk level, and deliver a prioritized remediation plan. You know exactly where your exposure is — and what to fix first.
- Complete AI asset inventory
- Risk-scored system map
- Regulatory exposure analysis
- Prioritized remediation roadmap
Policy & Framework Development
We write your AI governance policies from scratch — or audit and upgrade what you have. Every policy is tailored to your industry, your tech stack, and the regulations that apply to you.
- AI acceptable use policy
- Model deployment governance process
- Data governance rules for AI systems
- Vendor AI evaluation framework
Regulatory Compliance
EU AI Act, NIST AI RMF, state AI laws, sector-specific requirements — we map what applies to you and build the documentation and processes that keep you defensible.
- Applicable regulation matrix
- Compliance gap analysis
- Documentation templates and systems
- Audit preparation and support
AI Ethics & Bias Testing
We test your AI systems for fairness across protected classes, document the results, and build monitoring workflows that catch drift before it becomes discrimination.
- Bias testing across demographic groups
- Fairness metrics and thresholds
- Monitoring and alerting workflows
- Remediation protocols
AI Security & Privacy
AI introduces new attack surfaces — prompt injection, data poisoning, model extraction, PII leakage. We harden your AI systems against threats that traditional security misses.
- AI-specific threat model
- Prompt injection defenses
- Data handling and privacy controls
- Incident response playbook
Governance Program Management
Ongoing embedded support. We attend your deployment reviews, update policies as regulations change, run quarterly governance audits, and keep your documentation current.
- Monthly governance review sessions
- Policy updates with regulatory changes
- New deployment risk assessments
- Board-ready reporting
How We Work
From zero governance to audit-ready in 10 weeks.
Discover
Week 1-2We inventory every AI system, map data flows, identify stakeholders, and assess your current governance maturity. No assumptions — we look at what actually exists.
Assess
Week 2-3Risk-score each system against applicable regulations and industry standards. Produce the gap analysis that shows exactly where you are exposed and how badly.
Build
Week 3-6Write policies, design processes, create documentation systems, and build the governance infrastructure. Everything tailored to your organization — not a template dump.
Implement
Week 6-10Roll out the framework across teams. Train staff. Embed governance into your deployment pipeline. Make it operational — not a PDF that sits in a shared drive.
Monitor
OngoingContinuous governance support. Quarterly audits, policy updates, new system assessments, regulatory monitoring. Your governance program evolves with your AI usage.
Industries We Serve
Every industry using AI needs governance. Some need it yesterday.
Financial Services
SEC guidance, fair lending rules, algorithmic trading oversight. Your AI touches money — governance is not optional.
Healthcare
HIPAA intersects with AI in ways most organizations have not mapped. Clinical decision support, patient data, billing automation — all high-risk.
HR & Recruiting
NYC Local Law 144 already requires bias audits for hiring AI. More states are following. If AI touches hiring, you need governance yesterday.
Insurance
Underwriting algorithms, claims automation, pricing models — all face regulatory scrutiny for fairness and transparency.
Legal & Professional Services
AI-generated legal work carries malpractice risk. Governance protects the firm and the clients.
Technology & SaaS
Your customers are asking about your AI practices. Enterprise contracts now include AI governance requirements. Be ready.
The cost of AI governance is predictable. The cost of not having it is not.
Fines, lawsuits, reputational damage, lost enterprise contracts — all avoidable with a governance program that takes weeks to build. Start the conversation.
Common Questions
AI governance consulting FAQ
Traditional compliance consultants understand regulations but not AI systems. We understand both. AI governance requires technical knowledge of how models work, where they fail, and what data they touch — combined with regulatory expertise. That intersection is our specialty.
Yes. AI governance sits at the intersection of legal, security, data science, and operations. Your CISO handles infrastructure security but may not understand prompt injection or model bias. Your legal team knows regulations but may not know how to audit an LLM deployment. We bridge those gaps and give both teams the frameworks to own governance long-term.
Initial assessments start at $15,000 for organizations with fewer than 10 AI systems. Full governance program buildouts range from $40,000-$100,000 depending on complexity, number of systems, and regulatory requirements. Ongoing advisory retainers run $3,500-$7,500 per month. Every engagement starts with a scoping call — we do not sell packages that do not fit.
A minimum viable program (policy, risk assessment process, deployment review workflow) can be operational in 6-8 weeks. A mature program with full documentation, monitoring, committee structure, and cultural adoption takes 4-6 months. We ship incrementally — you get value in weeks, not quarters.
Yes. We build governance programs that meet ISO 42001 requirements and prepare your organization for the certification audit. The certification itself comes from an accredited body — we get you audit-ready and support you through the process.
It is never too early. In fact, building governance before you scale AI is dramatically cheaper and easier than retrofitting it later. If you are deploying your first AI systems now, this is the ideal time to set the foundation right.