AI for Local Government: A Document Assistant Where Data Stays In-House
AI helps local government when limited to clear tasks, using its own documents, with every answer traceable to a source.
Local governments hold many documents: regulations, circulars, meeting minutes, reports and archives. Staff often spend time searching and summarising. An AI assistant built on your own documents can help here, without sending document content to an outside service when run on the agency's infrastructure.
Which uses are realistic?
- Regulation Q&A. Staff ask "what are the travel rules for activity X?", the system searches the uploaded documents and answers with an article or page reference.
- Meeting summaries. A recording or transcript is summarised into decision points and follow-ups for the note-taker to review.
- Archive search. Find letters or documents by content, not just number or title.
- First drafts of letters and reports from templates and existing data, for staff to edit.
- Citizen information service answering common questions from the official service list.
Why must data not leave carelessly?
Government documents can hold personal data, financial data, or unpublished material. Pasting them into a public AI service means the data is processed outside the agency's control. A more controlled option is running the model on agency servers or an approved data centre. General considerations are in ChatGPT for business, and hardware sizing in on-premise AI server.
Why are source references mandatory?
Language models can answer confidently and be wrong. For official documents, every answer must show the document and section used, so staff can check it. An answer without a reference should not be used for decisions. The system must also say "not found" when the answer is not in the documents.
Who may see what?
Not every document is for every employee. The assistant must follow existing access rights: users only get answers from documents they may open. Log who asked what for audit, mindful of staff privacy.
How to start safely
- Pick one tidy set of documents, such as staffing regulations or one office's SOPs.
- Prepare 30 to 50 test questions with known answers.
- Run it with a small group of staff for several weeks.
- Assess accuracy, references and time saved. Fix before expanding.
- Set usage rules: AI assists, decisions remain with the authorised official.
The link to SPBE and One Data
AI works better when documents and data are well organised. The archive tidying and data standards covered in the SPBE article and Regional One Data also form the foundation for an AI assistant.
Sentra builds AI assistants on your infrastructure. See the Private LLM service and government solutions.
Frequently asked questions
May AI be used to make government decisions?
AI should only help search, summarise and draft. Decisions and responsibility stay with the authorised official, with human review.
How do you stop AI inventing answers?
Use retrieval over official documents with mandatory references, limit answers to document content, and provide a "not found" response. There is no guarantee of zero errors, so human review remains necessary.
Is a special server needed?
It depends on the model and number of users. For a small pilot one GPU server is often enough. Size it after the pilot, as covered in the on-premise AI server article.
Which documents should not be included?
Highly classified documents and sensitive personal data should be excluded until access and security policy are clear.
Tell us about the process. We'll help map out the most proportionate approach.
