Governed AI for Public Sector UK Accessibility

Public bodies occupy a distinctive position with AI. The pressure to adopt it is intense: shrinking budgets, rising demand, and a backlog of communication and casework that manual effort will never clear. Yet the tolerance for AI mistakes is close to zero, because every output is public, challengeable and subject to scrutiny. Governed AI for public sector UK organisations resolves this tension by wrapping AI in the controls public accountability demands: human review, traceability, measurable quality standards and audit-ready records.

Accessibility: the duty that cannot be outsourced

Among the many obligations on UK public bodies, accessible communication is one of the most visible and most frequently missed. The Public Sector Equality Duty requires councils, NHS trusts and other public authorities to have due regard to advancing equality of opportunity for disabled people. The Equality Act 2010 requires reasonable adjustments. In communication terms, this means information about services, decisions and rights must reach residents with learning disabilities in a form they can understand.

The intent is rarely lacking. The capacity is. Producing Easy Read versions by hand is slow and specialist, so it tends to happen for a handful of high-profile publications while day-to-day letters, consultations and service updates remain inaccessible. The residents most dependent on council and NHS services are often the ones least served by their communications, and a PSED commitment that only covers the annual report is thin protection when a decision is challenged.

What governed AI for public sector UK bodies actually looks like

The word “governed” is doing specific work here, and it is worth unpacking against the questions a scrutiny committee or information governance team will actually ask.

Is a human accountable for every output?

Yes, by design. In askVERA, askelie’s Easy Read creation tool, AI produces the draft conversion but an officer reviews and edits every page before anything is shared. The AI removes the labour; it does not remove the judgement. That distinction is what makes the approach defensible when a document is questioned later.

Is quality measured against a recognised standard?

Every askVERA document is scored for compliance against the EU Easy Read Guidelines, with 80% or above indicating a good standard. This gives public bodies something manual production rarely provides: objective, repeatable evidence that accessible versions meet a defined benchmark, document after document.

Can we evidence what we did, and when?

Governance across the askelie platform includes end-to-end audit trails and human oversight built in from day one, with ISO 27001 certification behind it. For a public body, that means the trail from source document to published Easy Read version, including who reviewed it, exists without anyone having to reconstruct it for an FOI request or an audit.

A worked example: the waste service consultation

Picture a district council consulting on a move to three-weekly bin collections. The consultation document is fourteen pages of options, caveats and equality impact language. The communications team knows an Easy Read version is needed, and knows equally well that commissioning one externally takes weeks the consultation timetable does not have. In previous years, that tension was resolved the usual way: the Easy Read version quietly did not happen.

With an AI-assisted workflow, the sequence changes. An officer uploads the consultation PDF, and askVERA generates an Easy Read draft with short sentences, plain words and supporting picture symbols drawn from its built-in, auto-tagged image library. The officer reviews it, corrects a sentence about assisted collections that oversimplified an important exception, and checks the compliance score. The accessible version publishes alongside the standard one, on the same day. Residents with learning disabilities respond to the consultation for the first time, and the equality impact assessment can say so with evidence.

Why “governed” beats “generic” for public money

A reasonable challenge: why not just use a general-purpose AI chatbot to simplify documents for free? Three reasons, each rooted in public sector reality:

Easy Read is a defined format with conventions that exist because they work for the intended readers. A generic chatbot can shorten sentences; it does not produce a compliant, image-supported, reviewable Easy Read document, and it leaves no evidence trail behind it.

There is also the data protection dimension. Consultation responses, care documents and housing files contain personal information that should never be pasted into an uncontrolled consumer tool. A governed platform gives information governance teams something concrete to assess: defined data handling, defined access, and an ISO 27001 certified supplier, rather than an unanswerable question about where a chatbot conversation went.

Starting small, within existing budgets

Public sector procurement anxiety often kills good ideas before they start, so it matters that this one does not require a transformation programme. askVERA offers a free trial with no credit card, personal pricing from £10 per document (falling to £7.50 at volume), and Teams plans between £2,200 and £5,000 per year for organisations producing accessible content routinely. A sensible pilot is one team, one quarter, one document type: adult social care letters, say, or housing repairs communications. Measure the turnaround time, the compliance scores and the resident response, then take the evidence to the wider organisation.

That pattern, contained quick win first, then scale with governance already in place, is how askelie recommends every organisation begin its automation journey. It suits the public sector particularly well because the evidence gathered in the pilot is exactly what business cases and scrutiny committees ask for.

Accessibility is also a natural first step because it builds institutional confidence in governed AI more broadly. A team that has seen human-reviewed, compliance-scored AI work well on Easy Read documents asks sharper questions of every subsequent AI proposal, from document processing in revenues and benefits to knowledge assistants for contact centres. The first governed use case sets the standard the rest must meet.

Trust is the deliverable

For a private company, AI governance protects the organisation. For a public body, it protects something larger: the resident’s trust that decisions about their services are made carefully and communicated honestly. Governed AI for public sector UK organisations is ultimately about extending that care to everyone, including the residents who have been reading, or failing to read, inaccessible letters for years. The technology now exists to serve them properly. The governance makes it safe to do so.

Related reading

• askVERA: Systematic Automated Easy Read Production
• AI for Policy Document Analysis and Simplification