Public-Sector AI Capability Programmes
AI capability programmes for public-service teams, weighing opportunities against accessibility, accountability, and procurement, with owner-approved boundaries.
Direct answer
Direct answer: Public sector
Public-service teams face the same AI opportunities as other organisations, but under stronger duties: accessibility, explainability to citizens, equality considerations, records and transparency obligations, and public procurement. A useful capability programme works through those duties with real service examples, so the team leaves with decisions about where AI could help, which uses need more scrutiny, and boundaries its own accountable owners have approved.
The question
“How can a public-service team understand AI opportunities alongside accessibility, accountability and procurement constraints?”
Who it is for
Learning and development leads, digital and service-design leaders, and senior responsible owners in public bodies.
What you leave with
An audience-specific capability programme, decision exercises, and owner-approved boundaries.
- 01 An opportunity map for the team’s services, marking which uses are low-risk assistance and which affect decisions about people
- 02 Decision exercises using the team’s own service scenarios
- 03 A draft set of usage boundaries for the team’s accountable owners to approve, amend, or reject
- 04 Questions to take into any procurement or supplier conversation
How it runs
Format, method, and preparation
- Duration
- One to three workshops, with preparation interviews
- Delivery
- Remote or in person in the UK, using the organisation’s approved platforms
- Participants
- Service, policy, digital, and operational staff, with an accountable owner present for the boundaries session
Start from services
Identify where AI is being proposed or already used in the team’s services and internal work.
Apply public duties
Work through accessibility, transparency, equality, records, and accountability for each use.
Practise decisions
Run exercises on realistic scenarios, including an AI output that is wrong or contested by a member of the public.
Draft boundaries
Produce draft usage boundaries and procurement questions for the accountable owners to decide.
Useful to have ready
- →The organisation’s existing AI, data-protection, and accessibility policies
- →Agreement on the procurement route before scoping
- →A sponsor with authority to approve or reject the resulting boundaries
Evidence
What this draws on
Regulated banking AI at Aveni
Architected enterprise banking AI with conduct-risk workflows, evidence generation, human review, escalation, evaluation, versioning, and release controls. Part of the Aveni team in the first FCA Supercharged Sandbox cohort; the FCA lists Aveni as an accepted firm, which is not an FCA endorsement or certification.
Inspect the source ↗GenAI and Agentic AI Playbooks
21 open chapters in ten languages under Apache 2.0: a business-leader guide to GenAI adoption followed by an engineering and operating guide to agent systems.
Inspect the source ↗Hands-on workshop formats
Four defined formats (governed agents, agent reliability, multi-agent coordination, and an automated working week), each built around a participant artefact rather than slides.
Read more →Scope and limits
What this is not
- —Engagement is subject to the buying organisation’s procurement route. This offer does not imply membership of a public-sector framework or security clearance.
- —The programme builds understanding and draft boundaries; approval, policy, and legal interpretation remain with the organisation.
- —Materials and delivery are adapted to the organisation’s accessibility requirements, which should be stated in the brief.
- —Experience in a regulated financial-services sandbox is relevant to accountable AI, but it is not public-sector delivery history.
If the need is different
Common questions
Answers before you commission
What should a public-sector AI capability workshop cover?+
Where AI could help a team’s services and internal work, which uses affect decisions about people, the duties that apply to each, and what boundaries the accountable owners want to set.
How do you handle accessibility and accountability in an AI programme?+
Both are treated as content as well as delivery requirements: participants test AI uses against them, and the materials themselves follow the organisation’s accessibility needs.
Can you work through public procurement?+
Yes, within whatever route the organisation uses. Raise the route early so scope and paperwork can follow it; no framework membership is implied.
Will the programme tell us which AI tools to buy?+
No. It equips the team with the questions and boundaries to evaluate options, without recommending a supplier.
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