How we work

Traced, transparent, secure.

You can see progress at any time without having to ask, and every decision, tool and change on your project is documented.

Transparency

Progress you can see.

ChannelWhat you getCadence

Project dashboard

A shared workspace: live progress, iterations, open questions, decisions, releases and key delivery and engineering metrics.

Always on

Main communication method

A shared Slack channel for open, active communication — screenshots, questions and answers as they happen.

Business hours

Demos

Working software at the end of each iteration.

Every iteration, ideally weekly

Status email

Done, findings, next steps, risks and decisions needed from you.

Weekly

Calls

We talk when something needs working through.

On request

Support

Included support after launch, then reserved Run hours if extended.

Per engagement

Security and traceability

Care built into the process.

Deliberate tooling

Every tool, including AI tools, is chosen for the job and vetted for security and data handling before it touches your project.

Least data

Each tool sees only what it needs. Sensitive data, credentials and proprietary logic stay out of third-party tools unless you approve.

Controlled access

Access is need-to-know, recorded and removed when the project ends.

Everything traced

Requirement changes, tool use and releases are logged and linked, with a decision log of what we chose and why.

Paperwork up front

A data processing agreement and subprocessor list, including any AI vendors, at the start.

Handover-ready documentation

Design documents, runbooks, model and prompt notes and change history are delivered with the system.

Risk classified at intake

We check each use case against relevant regulations and industry-standard security checklists before work begins.

How we work here

AI features, built carefully.

We test against expected outcomes, guard behaviour with permissions and human review where decisions matter, and log results so they can be traced and explained.

  1. 01

    Evaluate

  2. 02

    Guard

  3. 03

    Review

  4. 04

    Trace

Regulations

Designed for the context.

We check the relevant requirements at the start of each engagement.

Delivery standard

How we build, check and hand over work.

Delivery rhythm

Small iterations, each with a demo — ideally weekly — plus a mid-milestone discussion and a demo at every milestone.

Code quality

Clear, maintainable code. Every change goes through review; the main branch is protected. Code quality in a world of AI-driven development is best effort — review and testing are how we hold the line.

Architecture

Designed for where the product is heading; key decisions recorded. Architecture keeps more of a human in the loop — this is where senior judgment matters most.

Deployment

Automated checks, staging, rollback plans, securely stored secrets and least-privilege access.

Testing

Important user paths tested each milestone; automation where it adds most value.

Estimates

A range per milestone with written assumptions, revisited at each checkpoint.

Acceptance

Against agreed criteria, with client testing before production use.

Documentation

README, runbook, architecture overview, decision log and handover session.

AI-assisted work

Approved tools only. AI-written code is reviewed and tested by a person; AI features ship with evaluations.

Ownership

You own the repository and deliverables, from the start.

Delivery lifecycle

From first call to offboarding.

  1. 1

    Initial call

    Understand your business and agree next steps.

  2. 2

    Discovery

    Capture goals, users, constraints and risks.

  3. 3

    Proposal

    Agree scope, timeline and an approach.

  4. 4

    Contract and onboarding

    Set up paperwork, workspace, communication and access.

  5. 5

    Define

    Define the product, its architecture and delivery plan — the Blueprint.

    Blueprint or Diagnostic Report approval checkpoint

    Proceed with the Build, reprioritise to fit your budget or request a revised estimate if material new work has emerged.

  6. 6

    Build

    Deliver in visible, tested milestones.

  7. 7

    Launch and handover

    Release and transfer the system and documentation.

  8. 8

    Retention

    Continue through Run or Advisory where needed.

  9. 9

    Offboarding

    Close out access, materials and outstanding questions.

For workshops

A shorter path to a useful outcome.

  1. 1

    Enquiry

  2. 2

    Booking

  3. 3

    Preparation

  4. 4

    Session

  5. 5

    Follow-up

The written output arrives within a few days, with a recommended next step.

Want to see how this would work for your project?

An initial call about your business and what you need.