From a citizen request
to a service that actually closes.
Intlix engineers AI into public service delivery where the record, the rule and the decision have to stay inspectable — so caseworkers move faster without anyone losing the ability to ask how a decision was reached.
How we create value
Industry context changes the engineering.
The operating friction
Case history, eligibility rules, submitted documents and departmental systems rarely meet in one place. Citizens repeat themselves, and caseworkers rebuild the same context on every touch.
We use that friction to define the context, integration and controls the engineering has to solve — rather than handing over a generic list of use cases.
How Intlix intervenes
Engineer backward from the outcome.
Start from the decision
Map the workflow, the people in it, the systems it touches, and the measure it is judged on.
Assemble the context
Connect the data, documents and systems that decision actually depends on.
Put intelligence in the path
Apply models, agents and automation where they improve the call — not wherever they fit.
Run it in the open
Keep human authority, evaluation, observability and running cost visible after go-live.
The operating journey
Six steps, one accountable chain.
Receive
Citizen request across any channel
Verify
Identity, eligibility and documents
Assess
Case history and policy rules
Decide
Caseworker authority, on the record
Deliver
Departmental systems and notification
Account
Audit trail, fairness and cost
What we build
Four engineering motions.
One operating outcome.
Build the accountable data foundation
Case records, documents, entitlement data and controlled access.
Citizens stop repeating what the record already knows.
Engineer case intelligence
Document understanding, eligibility retrieval and caseworker assistance.
Officers get the evidence and the rule side by side.
Connect service delivery
Intake, triage, assessment, decision and notification workflows.
Cases progress instead of waiting on a queue handoff.
Operate to public standards
Traceability, fairness evaluation, accessibility, security and cost.
Every decision can be explained to the person it affected.
Let's talk about your public sector workflows.
Bring us the decision that is slow, manual or hard to defend. We will map what it would take to engineer it properly.
Start the conversationSector questions
What public sector teams
ask us first.
How do you meet procurement and assurance requirements?
We work within your framework, and we expect to evidence architecture, security and accessibility decisions rather than assert them. That expectation shapes how we document from day one.
What about algorithmic transparency?
Any automated decision affecting a citizen needs an explanation that person can understand and challenge. We treat that as a design requirement, including the route to human review.
Can this run in a sovereign environment?
Yes, including fully on-premises and with open-weight models where no data may leave the estate or reach a commercial provider.
How do you handle accessibility?
To the standard your regulations require, tested with assistive technology rather than only with an automated checker, which catches a minority of real barriers.
What happens to the capability afterwards?
It transfers. Building internal capability is usually an explicit objective, so pairing, documentation and handover are scoped as part of the work rather than added at the end.