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Delivery Models

Documentation & Handover

Written documentation of what was built and why, handed over so your own team can extend the system without calling us back — architecture decisions recorded, not just a README that lists dependencies.

Technical Documentation · Knowledge Transfer · Handover

What it is

A system is only as maintainable as what's documented about it. This is the standard applied to every engagement, called out here as its own service because it's often the difference between a handover your team can actually work with and one that leaves you dependent on whoever built it.

How it works

  1. 01
    Document architecture decisions, not just code

    Why a particular approach was chosen, and what alternatives were ruled out — the context a README never captures.

  2. 02
    Write runbooks for real operations

    What to do when something breaks, not just how the happy path works.

  3. 03
    Walk the team through it

    A live handover session with your engineers, not just a document dropped in a shared drive.

  4. 04
    Leave it maintainable

    Documentation kept current with what was actually shipped, not written once and left to drift out of date.

Benefits

  • A team that can extend the system without calling back
  • Architecture decisions and their reasoning captured, not just code comments
  • Runbooks for real incidents, not just a getting-started guide

Frequently asked

Is documentation included in every engagement, or a separate add-on?

It's the standard on every engagement — called out here as its own service because of how much it matters, not because it's billed separately by default.

Can you document a system we already have, that we built ourselves?

Yes — the same process applies, starting from reading the actual code and behavior rather than existing (often outdated) internal notes.

Also under Delivery Models

Systems Readiness Review

An audit of what you're actually running today, before any AI or integration work starts.

AI Strategy & Advisory

Where AI genuinely fits in your systems and where it doesn't, made explicit before anything gets built.

Ongoing Managed AI Support

Monitoring and maintaining an AI system after it ships, instead of letting it degrade quietly.

Fixed-Scope Product Builds

A defined piece of software, scoped and quoted after discovery, delivered at a fixed cost.

Proof-of-Concept-to-Production Handoff

Rebuilding the parts of a prototype that don't survive contact with real data, load, or users.

Not sure this is the right fit yet?

A scope call is a lower-commitment way to find out before anything gets built.

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