Sector
AI consultancy for public sector
Transparency obligations, public scrutiny and procurement rules raise the evidence bar. We build to the standards your assurance team already has to answer to.
The constraint
Why public sector AI projects stall
Public bodies face a scrutiny profile no commercial organisation does. Decisions can be challenged, information can be requested, and algorithmic tools that affect the public may need to be published under the Algorithmic Transparency Recording Standard.
That is a reasonable bar. It is also one that a system built without it in mind will fail, because ATRS asks for information about data, model, oversight and impact that has to have been recorded while the thing was built, not reconstructed from memory afterwards.
Procurement adds a second constraint. Suppliers must be selected through a compliant process, frameworks impose their own requirements, and the evidence expected of a supplier is increasingly AI-specific, which is why DSIT’s AI Management Essentials matters commercially well before it matters legally.
Where it works
What actually earns its place here
Ordered roughly by how quickly they get approved. The first item on this list is usually the right first project, precisely because it is the least contentious.
Correspondence and casework triage
Classification, routing and summarising of inbound correspondence and casework, surfacing urgency and vulnerability indicators for human decision.
FOI and information request support
Locating relevant material across systems and drafting first-pass responses for officer review. High volume, well-defined, and measurable.
Policy and guidance retrieval
Frontline staff querying policy, guidance and procedure with citation, so residents get consistent answers regardless of who they reach.
Document and form processing
Extraction from submitted forms and evidence into structured data, reducing rekeying and the errors it introduces.
The gate
What your assurance function will ask for
We build so that this evidence is a by-product of delivery rather than a document assembled under pressure afterwards. It is markedly cheaper that way, and considerably more likely to be accurate.
- ATRS record drafted alongside the build, not reconstructed afterwards
- DSIT AI Management Essentials self-assessment completed honestly
- DPIA and equality impact assessment covering differential outcomes
- Documented human decision points, resourced realistically
- A route for a member of the public to challenge an AI-assisted decision
- Supplier evidence in the form your procurement process actually requires
Illustrative scenario: a composite example of how an engagement typically runs, not a specific client.
Illustrative: a local authority service
A council wants to reduce the time officers spend routing and summarising inbound correspondence, which arrives across several channels in inconsistent formats and creates a backlog that generates complaints of its own.
The classification work establishes that correspondence contains personal data and occasionally special category data, so processing is designed to stay within the authority’s own tenancy, with retention aligned to the existing records schedule rather than invented for the project.
The system classifies and summarises; it does not decide. That boundary is drawn explicitly and documented, because the difference between "prioritised for an officer" and "decided by a system" is the difference between a workload tool and a decision subject to challenge.
The ATRS record and the equality impact assessment are drafted during the build, while the people who made the design decisions are still available to explain them, which is the practical reason to do it then rather than later.
Questions from this sector
Do we have to publish an ATRS record?
The Algorithmic Transparency Recording Standard applies to algorithmic tools used by public sector organisations that affect decisions about members of the public, with scope guidance from the Central Digital and Data Office. Our practical advice is to draft the record during the build regardless of whether you conclude it must be published: the exercise surfaces gaps in oversight and data documentation at a point where they are still cheap to fix.
How does AIME affect procurement?
AI Management Essentials is currently voluntary, but government has been exploring integrating it into public sector procurement. If that lands, it becomes a practical requirement for suppliers well before it becomes a legal one for anyone. If you are a public body, expect to ask for it; if you sell to one, expect to be asked.
Can you work through a framework?
Yes. Talk to us about your route to market and we will work with your procurement colleagues on the compliant path, including framework options and direct award thresholds where they apply.
Start with a straight answer
A 30-minute call, no pitch deck. Tell us what you are trying to do and we will tell you whether AI is the right tool, what it would take, and what it would cost, or that you should not bother.