Public sector
Data and AI for public administration
We help communities, regional administrations and public institutions organise data, analytics and workflows with clear roles and human oversight.
Discuss your project →Practical directions
We begin with a specific management or service challenge and available data. Requirements are assessed for each institution.
- Resource and programme analytics
- Request and document processing
- Management reporting and quality controls
- Internal knowledge assistants
Access control
Architecture accounts for roles, logging, an approved processing environment and human verification of critical actions. Specific security requirements are defined with the client.
Pilot before scale
We select a bounded scenario, define quality criteria and test it on approved data. Expansion follows an assessment of the evidence.
Fit before scope
Is this the right starting point?
Use these criteria for an initial orientation. The final recommendation follows a review of your context, data and constraints.
A good fit when
- A process or decision that needs improvement is identified
- An accountable sponsor and result user are available
- A measurable outcome or quality criterion can be defined
Resolve this first when
- The goal is simply to buy unspecified AI without a defined challenge
- A guaranteed impact is expected before data are assessed
- No one is accountable for accepting the result
A verifiable first stage
What you can use to make the next decision
The exact scope is agreed before work begins. These are typical decision artefacts, not promised business results.
AI use-case matrix
Challenges compared by value, data availability, risk and ease of verification.
Pilot boundary
One process with defined users, sources, human oversight and stop conditions.
Decision criteria
Quality measures and a process to scale, refine or stop the initiative.
Five questions · no datasets or credentials
Frequently asked questions
Frequently asked questions
Can you integrate with existing registries and systems?
Integration feasibility is determined after a technical audit, access review and confirmation of the system owner's requirements.
Ideas on this topic