Service / 01 Advise
Responsible AI & Governance
Practical AI governance: policies, risk assessment and controls that teams can follow without stopping delivery.
/ 01The business problem
Why this matters
Regulators, customers and boards now ask how AI is governed. Many organisations respond either with a policy nobody reads or with approval processes so heavy that teams route around them.
Good governance is proportionate. Low-risk internal tools need light controls; systems that affect customers, employees or regulated decisions need more. The work is defining those tiers and making the controls part of how teams build.
Who it is for
- Risk, compliance and legal leaders
- Chief data and AI officers
- Product teams preparing for customer security reviews
/ 02Scope
What the engagement covers
- 01AI policy and acceptable-use guidance
- 02Risk classification method and intake process
- 03AI system inventory and documentation templates
- 04Control library mapped to recognised frameworks
- 05Human oversight and incident response design
- 06Training for builders and approvers
/ 03Technical approach
How we work on it
Start from frameworks, adapt to you
We use public frameworks such as the NIST AI Risk Management Framework and ISO/IEC 42001 as reference points, then fit them to your size and risk profile.
Embed controls in delivery
Evaluation, documentation and approval steps become part of the engineering workflow rather than a separate audit exercise.
Plan for regulation
Where the EU AI Act or sector rules may apply, we map obligations so you can take specialist legal advice with a clear picture.
/ 04Process
From first call to production
- 1
Consultation
A focused conversation about the problem, constraints and what success would mean.
- 2
Discovery
Evidence gathering: data samples, process walkthroughs and a measured baseline.
- 3
Proposal
Scope, approach, team, timeline, risks and a fixed or estimated price.
- 4
Delivery
Iterative sprints with demos and evaluation results at each milestone.
- 5
Handover or run
Documentation, runbooks and training, or ongoing operation by our team.
/ 05Deliverables
What you receive
- AI policy and usage standards
- Risk tiering and intake workflow
- Model and system card templates
- Control mapping matrix
- Oversight and incident playbook
- Training materials
Engagement options
Fixed-scope sprint
Two to six weeks with a defined deliverable and price, suitable for discovery, assessments and prototypes.
Ongoing partnership
A monthly capacity agreement for continuous improvement, operations and support with agreed response times.
/ 06FAQ
Common questions
Can you certify us against ISO/IEC 42001?
No. Certification is issued by accredited certification bodies. We help you design and operate the management system that an auditor would assess.
Is this legal advice?
No. We provide technical and operational governance design and work alongside your legal counsel on regulatory interpretation.
Related solutions
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Talk to an engineer about responsible ai & governance
Bring the problem and any constraints. You will leave the conversation with an honest view of the options, even if the answer is not us.