Ship AI features fast, and still answer the governance questions.
Enterprise buyers now ask how your models are trained, monitored and controlled. Build a right-sized AI management system that answers them — and positions you for the EU AI Act before it bites.
What you'll walk away with
- An ISO/IEC 42001-aligned AI management system scaled to an early-stage team.
- A clear EU AI Act risk classification for each AI feature, with the reasoning documented.
- Model, data and prompt controls: provenance, evaluation, human oversight, logging.
- AI impact assessments buyers and regulators can actually read.
- Trust Center content that turns your AI story into a procurement advantage.
What's included
AI system inventory
Every model, provider, dataset and agent catalogued with purpose, owner and risk classification.
EU AI Act positioning
Whether each feature is minimal, limited or high risk, what obligations follow, and what to do now versus later.
ISO 42001 management system
Policy, objectives, roles, controls and review cycle — proportionate, auditable, and certifiable when you're ready.
Model & data controls
Training data provenance, evaluation and drift monitoring, human oversight, logging and rollback.
AI impact assessments
Structured assessments covering fairness, transparency, safety and privacy, tied to your risk register.
Buyer-facing evidence
Sub-processor disclosure, model cards and AI answers published in your Trust Center and Q&A library.
How we work
- Step 1
Inventory
Find every AI touchpoint including the shadow ones — third-party APIs, agents, embedded copilots.
- Step 2
Classify
Risk-classify each use case against the EU AI Act and your own tolerance; record the rationale.
- Step 3
Control
Implement proportionate controls and oversight, wired into the platform alongside your security controls.
- Step 4
Evidence
Run reviews, assessments and monitoring on a cadence, and publish what buyers need to see.
AI governance for startups FAQ
- Is ISO 42001 worth it this early?
- Certification may not be, but the management system is. Enterprise AI due diligence is already routine, and having the inventory, classifications and controls documented is what unblocks those deals.
- We only call third-party model APIs. Does this apply?
- Yes. Obligations follow the use case, not who trained the model. Deploying someone else's model in a consequential workflow still puts duties on you.
- How does this relate to ISO 27001?
- They share a management-system structure, so they combine well. If you're doing both, we run one integrated system rather than two parallel programmes.
- What about the EU AI Act timeline?
- Obligations phase in over several years by risk tier. We map your features to the applicable dates so you invest ahead of the ones that affect you, not all of them at once.
Talk to us about AI governance for startups
Share a few details and we'll come back within one working day with a proposed scoping call and indicative timeline.