Case study · Document AI

Turning messy inputs into client-ready requirements packs

Requio turns scattered notes, tickets, and stakeholder inputs into consistent, client-ready delivery requirements packs, cutting the time teams spend writing specs by well over half.

RAGDocument AISaaS
Requio
~60-70%
Reduction in spec-production time
RAG-grounded
Retrieval over your real project context, not guesswork
Now client-run
Handed over and operated by the client, with Firswood on support
The problem

Weeks lost turning notes into specs

Teams lose weeks turning messy notes, tickets, and stakeholder inputs into consistent specifications. The information exists; assembling it into something client-ready is slow, repetitive work.

What we built

A requirements-pack generation pipeline

Requio takes the raw inputs and produces structured, consistent delivery documentation, grounded in the project's own context.

  • Structured delivery-requirements-pack output format and generation workflow
  • Knowledge-base / RAG retrieval for project context
  • Document-assembly pipeline for client-ready exports
  • Admin controls for modules, templates, and iteration
Handover

Matured to a support engagement

Requio has moved past the build phase. The client now runs the platform themselves, with Firswood on ongoing support. It is a build-and-enable outcome: we built the system, then handed the keys over well, leaving the client genuinely independent.

What it proves

Build, then hand the keys over well

Requio shows the other side of build-and-run: when the right outcome is client independence, we build the system, transfer it cleanly, and stay on to support it.

The measure of success here is that the client operates it without us in the loop day to day, with the spec work that used to take weeks now taking a fraction of the time.

Want something like this built and run?

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