AI Governance & Risk
Governance that speeds AI up, not down
A practical AI governance framework (policies, risk tiers, controls and approvals) that lets you ship AI confidently and answer your board, auditors and regulators.
Why it matters
Without governance, the answer is always "not yet."
Risk, legal and compliance teams aren't trying to block AI. They lack a framework to approve it. When every use case is reviewed from scratch, approvals take months and teams route around controls.
We design governance that's proportionate: low-risk use cases move through a lightweight path; high-impact ones get deeper review, testing and monitoring. Controls are embedded in the delivery platform (evaluation gates, logging, access policies) rather than bolted on as paperwork.
Frameworks we align to
- NIST AI Risk Management Framework (AI RMF 1.0) and its Generative AI Profile
- ISO/IEC 42001 AI management systems
- Sector expectations such as model risk management in banking, and HIPAA in healthcare
- EU AI Act obligations for organizations operating in or selling into the EU
What we deliver
Capabilities
Delivered by senior architects and specialist engineers, with security and governance designed in.
AI policy & standards
Acceptable use, development standards and third-party AI policies.
Risk tiering & approvals
A tiered intake and approval process proportionate to impact.
Model & use-case inventory
A living register of AI systems, owners, data and risk ratings.
Evaluation & testing standards
Accuracy, bias, robustness, security and red-teaming requirements by tier.
Monitoring & incident response
Production monitoring, thresholds and AI incident playbooks.
Governance tooling
Embedding controls into CI/CD, AI gateways and data platforms.
Approach
How the engagement runs
Clear phases, clear exit criteria, and a working result at every stage.
Baseline
Current AI usage, policies, regulatory obligations and risk appetite.
Design
Framework, risk tiers, roles, approval workflow and standards.
Embed
Controls in tooling, templates, training and the first use cases through the process.
Operate
Inventory upkeep, monitoring, audits and framework updates.
Typical starting engagement
AI Governance Foundation
Fixed scope, fixed fee, and a clear decision at the end. Final pricing is confirmed after a short scoping call.
Scope this engagement →Starting at
- AI policy and standards set
- Risk-tiering model and approval workflow
- AI system inventory and register
- Evaluation and monitoring standards
- Training for builders and approvers
FAQ
Frequently asked questions
Straight answers to the questions CIOs, CTOs and procurement ask us first.
What is AI governance?
AI governance is the set of policies, roles, processes and technical controls an organization uses to ensure AI systems are effective, safe, compliant and accountable throughout their lifecycle.
Do we need ISO/IEC 42001 certification?
Not necessarily. Many organizations align to it without certifying. We'll advise based on your customers, regulators and markets.
Will governance slow us down?
Done well, it speeds delivery by replacing ad hoc reviews with clear, tiered paths and pre-approved patterns.
Does this cover employee use of public AI tools?
Yes. Acceptable-use policies, approved tool lists and technical controls for shadow AI are part of the foundation.
Start here
Get a senior architect's view of your fastest path to value.
A 45-minute working session, not a sales pitch. Bring your toughest AI, data or cloud problem; leave with a point of view, a rough plan and a realistic budget range.
- Senior architects onlyNo account managers in the first meeting.
- Fixed-fee optionsClear scope, price and outcomes up front.
- Mutual NDA on requestBefore any detailed discussion.