Services
Three engagements, scoped to your situation.
Each engagement is sized to your organisation rather than packaged into tiers. We work out what proportionate AI governance & compliance looks like for you, then we build it.
01 — AI Governance Advisory
The governance work your auditor, your governing body, or your regulator wants to see, sized to your organisation.
31% of UK organisations have no AI governance policy in place (CyXcel/Censuswide, 2025). Only 3.5% of compliance professionals describe their firm as fully prepared for AI regulation (VinciWorks, 2026). In education, nearly half of UK teachers reported using generative AI in 2024, often in schools that have not formally implemented AI use, and may not have strong AI literacy or a policy in place. The questions are already arriving, from inspectors, auditors, insurers, enterprise customers, and regulators, and most organisations cannot answer them yet.
We help you change that. We work out which rules apply to your specific use of AI, what proportionate compliance looks like for an organisation your size, and what evidence you need to produce. Then we build it.
Most governance work fails in one of two directions. It is either too generic to be useful, a downloaded policy template that nobody reads and no auditor respects, or it is so heavy that the organisation abandons it halfway through. We aim for the middle. The governance we build is specific to the AI you actually run, proportionate to your size and risk, and written so the people responsible for it can understand and maintain it after we leave.
The engagement usually begins with discovery. We map your AI estate, including the systems you know about and the ones you do not, then classify each against the frameworks that apply to your sector. From there, we build the policies, controls, and documentation that turn a vague sense of exposure into a defensible position you can show to anyone who asks.
02 — Shadow AI Detection
Find the AI running in your organisation that nobody approved.
Most organisations are running far more AI than they have accounted for. Staff sign up for tools independently because they make the work easier. Departments adopt AI-enabled software without telling IT. Vendors quietly embed AI features into platforms you have licensed for years, switching them on by default. The result is a growing layer of AI that sits outside your governance entirely, processing your data and shaping your decisions without anyone having assessed the risk.
This is shadow AI, and it is where most of the real exposure lives. A governance policy that covers only the AI you formally approved is a policy with a hole in the middle of it. When an auditor, a regulator, or an enterprise customer asks what AI you operate, the honest answer for most organisations is that they do not fully know.
Shadow AI Detection closes that gap. We systematically uncover the AI operating across your organisation, the tools staff adopted on their own, the AI features embedded in your existing software, and the integrations quietly passing your data to third-party models. We tell you what is there, what data it touches, what risk it carries, and what to do about each finding.
The work is practical rather than intrusive. We combine a review of your software estate, your contracts, and your data flows with structured conversations across departments, because the people doing the work usually know exactly which tools they are using even when the organisation does not. The output is a complete and honest picture of your true AI footprint, and a clear plan to bring the parts that matter under proper control.
03 — AI Automation Services
Efficiency without exposure.
42% of UK companies abandoned AI initiatives in 2025, with 46% of proof-of-concept projects never reaching production (Resultsense, 2025). In education, schools and trusts are under pressure to deploy AI for marking, reporting, communications, and administrative workflows, often without the governance work to back it up. Most automation efforts fail not because the technology is wrong, but because the workflow, oversight, and accountability around it were not designed in from the start.
We believe a successful AI automation strategy starts with task mapping. We help you move beyond the hype by auditing your operations and sorting your tasks into three buckets.
Low-risk, high-frequency
AI handles the heavy lifting to deliver immediate time savings. For schools, this often looks like routine correspondence drafting, timetabling support, or data extraction from standard documents.
AI assists, a human owns it
Complex processes where AI assists but a human maintains oversight and accountability. Marking and feedback workflows, report generation, financial workflow automation in academy trusts, and admissions support all sit here.
Judgement, not automation
Critical work where AI cannot, and should not, replace human judgement. Safeguarding decisions, pastoral conversations, formal assessment outcomes, and any decision with significant consequences for a pupil, student, or staff member.
We design and implement automation systems that reduce operational friction, improve consistency, and create space for higher-value work. Our focus is on systems that are integrated, maintainable, and aligned with how your organisation actually operates. Crucially, we build the governance in from the start rather than bolting it on later. Every automation we implement comes with clear accountability, documented decision points, and a record of what the system does and why, so the efficiency you gain does not come at the cost of a new compliance problem six months down the line.
Not sure which engagement fits?
A 30-minute conversation, no pitch deck. We will tell you whether we can help and which engagement makes sense.
Talk to us about your situation →