Public sector

How can a local council use artificial intelligence?

A framework for choosing a useful municipal pilot: processes, documents, public services, data, oversight and acceptance criteria.

Portocelo Networks SLPublished: 5 min read
A municipal network connects documents, staff and public services through a central oversight point.

A council may use AI to find information, draft text, classify documents and support enquiries from residents. A useful starting point is a bounded task whose outcome can be checked, with a manual route and a named owner.

Putting a chat window on a public portal is not enough. The team must know its sources, permissions and relationship to official case files. An error about a cultural event and a recommendation affecting access to a benefit have very different consequences.

This is a technical pilot framework. The legal classification of a use case and the conditions of procurement require review by the competent public officials and advisers.

Possible uses: from internal work to public enquiries

Possible applications and boundaries
AreaPossible supportPilot boundary
Registration and documentsSuggest document type and receiving unitClassification does not decide admissibility or deadlines
Case filesFind earlier material and draft cited summariesKeep the original and check omissions
RegulationsLocate a provision with its version and sourceDo not present a summary as legal advice
Culture and tourismAnswer using current municipal programmesEscalate missing or changed information
Resident enquiriesPoint to published procedures and documentsMaintain accessible human channels
Municipal dataPrepare authorised queries and reportsValidate aggregations and protect individual data

An internal assistant can be easier to control at first: staff know the sources and can test real questions. Permissions still matter. A culture enquiry must not retrieve restricted files from another department. Document intelligence and RAG assistants solve related but distinct tasks.

Eight decisions before expanding a pilot

A municipal pilot with control gates

Each step leaves a decision or evidence for continuing, revising or stopping.

  1. 1. Identify

    Choose a task and describe exceptions.

  2. 2. Classify data

    Separate public, internal and restricted sources.

  3. 3. Assess risk

    Consider effects on people and procedures.

  4. 4. Bound the pilot

    Define inputs, outputs and excluded uses.

  5. 5. Supervise

    Assign review, escalation and stop powers.

  6. 6. Integrate

    Connect identity, records and applications.

  7. 7. Measure

    Compare with the current procedure.

  8. 8. Decide

    Expand, correct or discontinue.

Portocelo’s proposed design framework. A valid result may be that AI is not worthwhile for this task.

Bring together the service unit, IT and the people responsible for data protection, security and procedure where relevant. A one-page scope should name users, sources, permitted operations, excluded data, the owner and acceptance criteria. It should explicitly exclude, for example, issuing a decision or changing an administrative status automatically.

Example of application: routing incoming requests

Imagine a unit receiving requests and attachments through an existing channel. A pilot identifies document types and suggests a receiving unit, displaying the supporting passage. When the evidence is insufficient, it returns “undetermined”. It does not alter the official register.

Staff test it first on authorised, minimised copies or representative synthetic material. Include Galician and Spanish documents, scans, mixed-purpose applications and unreadable files. Staff compare suggestions with their usual process and record corrections. Unknown documents go to a review queue.

Data, interoperability and records

An integration must respect user identity, permissions and case identifiers. Copying files to another platform without a link to the source creates competing versions. Decide which system is authoritative and how changes, deletions and access revocations reach the AI index.

A reply about regulations should link to the provision and its effective version. A case summary should allow staff to return to the supporting pages. Check APIs, file exchange, export and exit conditions before selecting a supplier. Technical logs may also contain personal data; limit what they retain and who can access them.

Accessibility and oversight that staff can exercise

A public AI channel should work with a keyboard and assistive technology, explain errors clearly and offer an effective human route. Identify automated interaction where required. Test complete tasks with the staff and people who will use the channel, including zoom and small screens.

An “accept” button without the source or enough time to inspect it is weak oversight. Reviewers need the proposal, evidence and ability to correct, stop and report an incident. A service outage must not block the ordinary procedure.

  • Test representative long documents and accessible formats.
  • Train staff on limits, sources, excluded data and exceptions.
  • Check that the manual route works when AI is unavailable.

AI Act and data protection: check the specific use

The EU AI Act assigns obligations according to the purpose of a system and the organisation’s role. A municipal tool is not automatically high-risk because a council uses it; uses affecting essential services or people’s rights require particularly careful assessment. Check the applicable provisions and timetable for the actual system against the European Commission guidance.

Maintain an inventory of uses, data, providers, permitted functions and tests. The competent people must define the legal risk assessment, data-protection measures and procurement terms. Portocelo provides technical and governance support, not legal advice. Sources checked on 29 September 2026.

What to request and how to decide whether to continue

Ask for verifiable deliverables: included integrations, test set, review flow, documentation, support and exit conditions. Separate setup cost from usage and maintenance. Agree success criteria before the demonstration.

Evidence to agree before the trial
DimensionEvidenceReason to stop or review
QualityTasks and corrections by typeRepeated critical errors
OversightAccepted and corrected proposalsReview without sources or context
PrivacyAccess tests for different rolesOne role retrieves another role’s documents
OperationTotal time, incidents and review queueQueue grows beyond review capacity
ExitExport and return to manual workflowDependency threatens service continuity

Count correctly completed tasks, review time, ease of finding information and continuity of service, not just conversations. An unsuccessful AI pilot may still reveal a more valuable records or process improvement. Our public-sector service can help define the scope.

From knowledge to a working process

A well-defined first municipal pilot.

We can help bound the process, prepare the sources and establish a test that staff can evaluate.

Discuss your council’s pilot ↗

Sources and references

Do you have a similar process?

Tell us how it works. We can assess whether AI, automation, software or a combination makes sense.

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