Govern your AI.Ship it faster.Survive any audit.
ISO 42001 governance frameworks and platform controls for Series B+ SaaS and vertical-AI companies. Frameworks your engineers will actually follow, even when the customer questionnaire comes in, the auditor shows up, or the regulator starts paying attention.
Framework
AI governance pillars.
A comprehensive framework covering every dimension of responsible AI adoption.
Risk Management
Identify, assess, and mitigate AI-related risks including bias, privacy violations, security vulnerabilities, and compliance issues.
- Risk assessment frameworks
- Bias detection & mitigation
- Continuous monitoring
Policy & Compliance
Policies engineers will actually follow. Mapped to ISO 42001, NIST AI RMF, and EU AI Act Annex III — plus the specific clauses your enterprise customers are writing into their security addendums.
- Acceptable-use & model-selection policies
- EU AI Act risk tiering
- Customer security questionnaire playbook
- ISO 42001 Clause 10 continual improvement
Security & Privacy
Implement robust security measures and privacy protections for AI systems handling sensitive data and critical processes.
- Data encryption & access controls
- Privacy-preserving techniques
- Secure model deployment
Transparency & Explainability
Explainability that passes a board review, not just a research paper. Decision audit trails, customer-facing disclosures, and the incident playbook for when an agent does something surprising.
- Model cards & system cards
- Decision audit trails
- Customer AI disclosures
- Agent incident playbook
Organizational Structure
Establish clear roles, responsibilities, and decision-making processes for AI governance across your organization.
- AI governance committees
- Role definitions
- Approval workflows
Platform Architecture
The governance controls that live in code, not in a PDF. MCP gateway design, agent identity and RBAC, policy-as-code guardrails, and the log surfaces your auditor will actually ask for.
- MCP gateway + tool access policy
- Agent identity & least-privilege RBAC
- Policy-as-code (OPA / Cedar)
- Decision & prompt logging
Methodology
Two phases, one clear entry point.
Start with a 2-week fixed-price audit. If the roadmap calls for ongoing program execution, the retainer picks up where the audit ends. The enterprise phase is optional, reserved for multi-BU programs with global regulatory scope.
Phase 1 — Audit (Weeks 1–2)
Current-state AI inventory, risk and maturity scoring, ISO 42001 / NIST AI RMF / EU AI Act gap analysis, and a 10–15 page board-ready roadmap with 90-day priorities. Fixed price, fixed timeline.
Phase 2 — Framework + Platform (Months 1–9)
The roadmap becomes policies, platform controls, training, and an audit-ready evidence base. Scope adjusts to your priorities and regulatory timeline.
Phase 3 — Enterprise Platform (Optional, 12–18 mo)
For organizations running multiple AI platforms across business units with global compliance scope. Custom engagement, starting at $100K.
Impact
Governance as competitive edge.
Organizations with mature AI governance deploy models 3x faster, face fewer compliance incidents, and build deeper stakeholder trust. Good governance is an accelerant, not a bottleneck.
Without governance
With governance framework
Accelerated Innovation
Clear policies eliminate ambiguity. Teams stop waiting for ad-hoc approvals and start shipping through pre-approved governance gates. Guardrails become launch rails.
Proactive Risk Management
Shift from reactive firefighting to systematic risk management. Automated monitoring catches issues before they become incidents, and clear escalation paths ensure nothing falls through the cracks.
Regulatory Readiness
As AI regulations evolve globally, your governance framework keeps you ahead. Complete audit trails, policy documentation, and compliance reporting ready when regulators come calling.
Stakeholder Confidence
Board members, customers, and partners need to trust your AI practices. Governance frameworks provide the transparency and accountability that builds lasting confidence.
* Industry benchmark: McKinsey 2025 / Gartner 2026. Full citations on request.
Investment
Start with clarity, scale as the program earns its keep.
The fastest way to find out if I'm the right advisor is the 2-week audit: fixed price, board-ready deliverable, no lock-in. The retainer picks up where the audit ends, turning the roadmap into policies, platform controls, and training. The enterprise tier applies to organizations running AI across multiple business units with global regulatory scope.
AI Governance Audit
$7.5K fixed
2 weeks
A defensible answer in two weeks, not a six-month consulting engagement.
- Current-state AI inventory (tools, models, data flows, agents, vendor AI)
- Gap analysis vs. ISO 42001 + NIST AI RMF + EU AI Act (if in scope)
- 10–15 page board-ready governance roadmap with 90-day priorities
- One 60-min readout with you and the executive sponsor
Audit fee credited toward a retainer if you move forward within 30 days.
Governance Retainer
From $15K/mo
Ongoing · typical 6–9 mo
The audit gave you the roadmap. This tier gets it executed.
- Monthly governance steering meeting + bi-weekly engineering office hours
- Policy authoring (acceptable use, model selection, vendor AI review, agent operating)
- Platform control reviews (MCP gateway, RBAC, logging, approval workflow)
- Quarterly readiness report for the board, customer security, or external auditor
Enterprise Governance Platform
$100K+ custom
12–18 months
Multi-business-unit governance with global regulatory scope.
- Multi-business-unit governance program
- Custom platform layer (MCP gateway, policy-as-code, evidence base)
- Global compliance scope (EU AI Act, ISO 42001, regional regulators)
- Strategic advisory to the CTO/CAIO/CISO triad
Next Step
Two weeks from now, you could have the board-ready answer.
If your team is already shipping AI and the governance question keeps coming up, the 2-week audit is the fastest path to knowing what you actually need. If the readout shows you don't need a retainer, I'll say so.