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AI You Can Trust

Responsible & Explainable AI

Your teams want to ship AI and your risk team keeps finding reasons to pause it, usually because nobody can say who owns a model or what it is allowed to reach. We build AI governance frameworks that answer those questions once, so approval takes days instead of quarters.

Frameworks · Compliance · Trust

What Does AI Governance Actually Look Like?

AI governance has a branding problem: it sounds like the department of no. In practice, good governance is what lets risk and legal teams say yes quickly, because a framework already answers the questions every new AI system raises. Who owns it? What can it reach? How is it evaluated? Who gets told when it misbehaves? Answer those once, per category, and delivery accelerates instead of stalling.

Our frameworks align to the regulation that actually applies to you: the EU AI Act risk tiers, UK regulatory principles, GDPR, and sector expectations from the FCA, PRA and ICO, mapped against the NIST AI RMF and Microsoft Responsible AI standard. The output is not a policy PDF; it is working controls in Azure AI Foundry, Purview, Entra and Defender, with model cards, audit logs and review forums that meet on a calendar.

Agents raise the stakes, and our framework was built with them in mind. A system that answers questions needs transparency; a system that takes actions needs authority management: scoped permissions per tool, human approval gates on consequential steps, full decision traceability and a kill switch with a named owner. We govern agent authority as carefully as data access, because it is the same kind of power.

And governance is not only for what we build. We run standalone reviews of existing AI estates, put guardrails around Microsoft 365 Copilot rollouts, and audit models other teams built, without the blame theatre. The goal is always the same: AI your board can defend in the meeting where someone asks how they know it is safe.

Responsible AI, grounded in Microsoft security and compliance

Data & AI on Azure
Data & AI on Azure
Security
Security
Microsoft Cloud Partner
Microsoft Cloud Partner
Cyber Essentials Plus
Cyber Essentials Plus
What We Deliver

Key capabilities

Responsible AI Governance & Ethical AI Consulting

Governance designed for speed as much as safety: named owners, category-level approvals and clear escalation paths, so risk teams can say yes without re-litigating every project.

  • AI risk register, review board and approval gates
  • Category-level approvals so projects stop queueing
  • Agent authority management: tools, approvals, kill switches
  • Working controls in Foundry, Purview, Entra and Defender

AI Policy Framework and AI Oversight Strategy

Policies people can actually follow: who decides, who reviews, what gets documented and when, written for the teams doing the work rather than for the shelf.

AI Model Transparency & Explainable AI Consulting

Make model decisions defensible: explanations a regulator will accept, a customer can understand, and your own teams can use to spot when a model is getting it wrong.

AI Compliance Management & Regulatory Alignment

Map every AI system to the regulation that actually applies to it, GDPR, the EU AI Act and sector rules, with documentation generated from day-to-day operations rather than pre-audit scrambles.

  • EU AI Act risk-tier classification and technical files
  • UK AI principles and sector regulator mappings (FCA, PRA, ICO)
  • Evidence packs generated from operations, not scrambles
  • Human-oversight controls for high-risk categories

Data Ethics and AI Accountability Frameworks

Decide in advance what your organisation will and will not do with data and AI, and make one person accountable for each system, before an incident decides for you.

Bias Mitigation Strategies & Trustworthy AI Systems

Identify and mitigate bias across training, validation, and production phases with fairness audits, demographic parity testing, and continuous bias monitoring.

100%

AI systems mapped to EU AI Act risk tiers

8 wks

From assessment to working governance framework

0

AI systems in scope without a named owner and kill switch

1

Review path from idea to approved system

Common Use Cases

Where Responsible & Explainable AI earns its keep

Establishing AI governance

Stand up an AI risk register, review board, policies and approval gates so every AI initiative has a clear owner and route to go-live.

EU AI Act readiness

Classify AI systems, document technical files, and build the monitoring and human-oversight controls required for high-risk categories.

Bias, fairness and explainability audits

Independently review existing models for bias, drift and explainability gaps, and implement practical mitigations that satisfy both auditors and users.

Responsible Copilot rollout

Put guardrails around Microsoft 365 Copilot and custom agents (data access, prompt logging, DLP, retention) so adoption is fast but safe.

Regulated industry AI programmes

Help financial services, healthcare and public sector clients satisfy FCA, PRA, ICO, NHS and internal model risk teams with credible evidence.

AI policy and training

Roll out practical AI policies, acceptable use standards and role-based training so the organisation knows what good looks like.

How We Work

A proven delivery approach

  1. 01 Step

    Assess

    Inventory AI systems in use, map risk tiers and review current governance, data and security controls against regulatory expectations.

  2. 02 Step

    Design

    Define policies, review forums, roles and tooling for responsible AI, aligned to EU AI Act, NIST AI RMF and Microsoft Responsible AI standards.

  3. 03 Step

    Implement

    Deploy controls in Azure AI Foundry, Purview, Entra and Defender; wire up model cards, audit logs and human-in-the-loop workflows.

  4. 04 Step

    Run

    Operate the framework alongside your risk and compliance teams, iterating as regulation and your AI footprint evolve.

FAQ

Frequently asked questions

What frameworks do you align AI governance to?

We align to the EU AI Act, NIST AI Risk Management Framework, ISO/IEC 42001 and Microsoft Responsible AI Standard. For regulated sectors we also layer in FCA, PRA, ICO, NHS DSPT and sector-specific model risk expectations.

How long does it take to stand up AI governance?

A working framework – policies, risk register, review board, model documentation templates and monitoring – typically takes 6–10 weeks to establish. Embedding it across a large enterprise is a 6–12 month programme we can lead or support.

Do you only govern AI you have built?

No. We regularly review and remediate AI systems built by other partners, SaaS vendors or in-house teams. An independent assessment is often the fastest way to understand real AI risk in your organisation.

How do you handle bias and explainability in practice?

We use SHAP, LIME, fairness metrics and Microsoft Responsible AI dashboards during model build and in production. Every model we ship has a model card, documented test results and a human-in-the-loop pattern where appropriate.

Can you help with Microsoft 365 Copilot governance?

Yes. We routinely deliver Copilot readiness programmes covering SharePoint / OneDrive permissions hygiene, Purview sensitivity labels, DLP, retention, prompt and response logging, and user training – so Copilot rollouts are both fast and audit-friendly.

Who typically owns AI governance?

It varies. We usually help clients set up a cross-functional AI council led by the CDO, CTO, CISO or Chief Risk Officer, with legal, HR and business representation. We stay involved as advisors as the framework matures.

Our Clients

Trusted by

Glassmoon
Lanware
Micheldever Tyre Services
Midwich
Mount Anvil
Nuevo Partners
Pro Global
Seras Energy
Skanska
Ocean Conservation Trust
WA Comms
Glassmoon
Lanware
Micheldever Tyre Services
Midwich
Mount Anvil
Nuevo Partners
Pro Global
Seras Energy
Skanska
Ocean Conservation Trust
WA Comms
Client Voices

Hear from our clients

Video Stories

Skanska testimonial video
Skanska

David, Skanska

Project/Programme Manager

Mount Anvil testimonial video
Mount Anvil

Mike, Mount Anvil

Head of Technology Applications

Testimonials

Book an AI governance review

We will inventory the AI already in use across your organisation, including the tools nobody declared, map each system to EU AI Act risk tiers and show you the three controls to fix first.

Book a governance review