Responsible AI risk and compliance support
AI governance that helps teams innovate without losing control.
Ametros helps organisations introduce practical governance for artificial intelligence, including AI policies, use-case registers, risk assessments, supplier review, human oversight models, privacy integration and board-ready reporting.
AI GOVERNANCE SCOPING
Know where AI is being used?
We will help identify current AI use, key risks and the practical controls your organisation should put in place.
~300
Outsourced DPO clients supported
5
Client operations supported across five continents
30,000+
Employees within supported organisations
£6bn+
Known client turnover supported
WHY AI GOVERNANCE IS NOW A LEADERSHIP ISSUE
AI adoption is often happening faster than governance.
Staff use generative AI tools, suppliers introduce AI features, products become automated and leadership teams are asked how risk is being controlled. Without a clear framework, organisations can expose personal data, create inaccurate outputs, introduce bias, breach confidentiality or struggle to evidence oversight.
AI governance should not block innovation. It should help teams use AI in a way that is transparent, proportionate, secure and aligned to business risk.
AI use is already happening
Staff may be using generative AI tools before leadership has agreed the rules, risks or approval routes.
Suppliers are adding AI features
Vendors may introduce AI functionality that changes data flows, security exposure, explainability or contractual risk.
Personal data and confidentiality risk increase
Without controls, teams can expose personal data, sensitive commercial information or confidential client material.
Boards need evidence of oversight
Leadership teams increasingly need to explain how AI use is controlled, monitored and aligned to business risk.
WHAT WE DELIVER
A practical AI governance framework your teams can actually use.
Ametros helps you create proportionate controls, templates and reporting structures that support innovation while reducing privacy, security, supplier and leadership risk.
AI use-case register
AI governance policy and acceptable use guidance
AI risk assessment framework
DPIA integration for AI-enabled processing
Supplier and tool assessment templates
Human oversight and accountability model
Board reporting structure
Training and staff guidance
EU AI Act readiness assessment where relevant
Controls for generative AI, automated decision-making and profiling
WHO NEEDS THIS SERVICE
Any organisation using AI in ways that affect people, data, decisions or customer trust.
AI governance is especially important where AI use touches regulated activity, HR, education, health, finance, SaaS, customer service, analytics, marketing or decision support.
PRACTICAL AI GOVERNANCE MODEL
A four-step route from unmanaged AI use to workable governance.
We start by understanding how AI is already being used or planned. We then classify use cases by risk, identify personal data and security implications, review suppliers and create a governance structure that fits your organisation. The outcome is a workable framework, not a theoretical policy pack.
Map current and planned AI use
We identify how AI is already being used, where it is planned and which teams, suppliers or products are involved.
Classify risk and data impact
We classify use cases by risk, identify personal data implications, security concerns, supplier issues and oversight needs.
Build a practical framework
We create governance structures, policies, registers, assessment templates and controls that fit your organisation.
Embed and evidence controls
We support training, board reporting, escalation routes and evidence so AI governance becomes usable, not theoretical.
SUPPORT LEVELS
Core, Managed or Embedded AI governance support.
The right model depends on current AI use, regulatory exposure, data sensitivity, supplier complexity, product risk and how much hands-on support your teams need.
AI GOVERNANCE STARTER MODEL
Core
Best for organisations that need to understand current AI use, set acceptable-use rules and create a simple evidence base.
FRAMEWORK AND IMPLEMENTATION SUPPORT
Managed
Best for organisations that need policies, supplier review, DPIA integration, staff guidance and practical implementation support.
SENIOR GOVERNANCE LEADERSHIP
Embedded
Best for higher-risk, regulated or product-led organisations that need ongoing senior input across privacy, cyber, legal, product and leadership teams.
HOW THIS CONNECTS WITH GDPR AND CYBER SECURITY
AI controls should not sit in isolation.
AI governance often overlaps with data protection, cyber security, supplier assurance, employment law, customer contracts and board risk. Ametros connects these areas so your AI controls are aligned to wider governance obligations.
Data protection
AI-enabled processing may need lawful basis review, DPIAs, transparency updates and rights handling controls.
Cyber security
AI tools can introduce data leakage, supplier risk, access control, model-output and confidentiality concerns.
Supplier assurance
AI vendors need proportionate review around data use, contractual terms, security, explainability and oversight.
Board risk
Leadership teams need a clear view of where AI is used, what risk it creates and what controls are in place.
PROOF AND CREDIBILITY
Governance-led AI support for sectors where risk, trust and accountability matter.
Ametros supports organisations that need to connect AI adoption with privacy governance, cyber security, supplier assurance, board reporting and evidence-led compliance.
“AI governance should help teams innovate in a way that is transparent, proportionate, secure and aligned to business risk.”
Regulated sectors
HR and recruitment
Education
Healthcare
Financial services
SaaS and technology
FAQ
Common questions about AI governance
Do we need an AI policy?
Most organisations using AI tools should have clear guidance covering acceptable use, data input restrictions, human review, supplier approval and escalation.
Can you help with the EU AI Act?
Yes. Ametros can help assess AI use cases and identify governance steps relevant to emerging AI regulation.
Is this only for technology companies?
No. Any organisation using AI in operations, HR, customer service, analytics, marketing, education, healthcare or decision support may need AI governance.
FINAL STEP
Book an AI governance scoping session.
We will identify current AI use, key risks and the practical controls your organisation should put in place.
Start with practical AI risk visibility.
Speak with a senior adviser about AI policies, use-case registers, supplier review, DPIA integration and board-ready reporting.
Start with practical AI risk visibility.
Speak with a senior adviser about AI policies, use-case registers, supplier review, DPIA integration and board-ready reporting.