Olim Paveway
An AI planning tool that turns a fragmented, high-stakes immigration process into a personalised, document-backed plan.
The problem
Relocating to another country is a long sequence of interdependent decisions (eligibility, documentation, timing, finances, logistics), and the authoritative information for each one is scattered across government pages, forums, and word of mouth. The information exists. What does not exist is a way to assemble it into a plan that reflects one specific person's situation, in an order they can actually act on.
What we built
- 01
A structured intake that captures the variables that genuinely change the path, rather than a generic questionnaire.
- 02
A generation layer that assembles a personalised plan from the intake, sequenced into actionable stages with the reasoning attached.
- 03
Server-side PDF generation so the plan leaves the app as a document people can print, share with family, and take to an appointment.
- 04
Transactional email delivery integrated into the flow, so the plan arrives without the user having to keep a browser tab alive.
- 05
A relational data model that persists plans, allowing them to be revisited and revised as circumstances change.
Decisions worth noting
Document as the deliverable
The product's real output is a PDF, not a screen. Designing for the artefact rather than the interface changed the data model, the generation flow, and what counts as done.
Structured generation
Plan content is generated into a defined schema rather than free prose, which is what makes it renderable, revisable, and consistent between runs.
More work
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Tell us what is slowing you down
A short conversation is usually enough to tell whether this is a build, an automation, or something you should not do at all. We will tell you which.