Deliberate tooling
Every tool, including AI tools, is chosen for the job and vetted for security and data handling before it touches your project.
You can see progress at any time without having to ask, and every decision, tool and change on your project is documented.
A shared workspace: live progress, iterations, open questions, decisions, releases and key delivery and engineering metrics.
Always on
A shared Slack channel for open, active communication — screenshots, questions and answers as they happen.
Business hours
Working software at the end of each iteration.
Every iteration, ideally weekly
Done, findings, next steps, risks and decisions needed from you.
Weekly
We talk when something needs working through.
On request
Included support after launch, then reserved Run hours if extended.
Per engagement
Every tool, including AI tools, is chosen for the job and vetted for security and data handling before it touches your project.
Each tool sees only what it needs. Sensitive data, credentials and proprietary logic stay out of third-party tools unless you approve.
Access is need-to-know, recorded and removed when the project ends.
Requirement changes, tool use and releases are logged and linked, with a decision log of what we chose and why.
A data processing agreement and subprocessor list, including any AI vendors, at the start.
Design documents, runbooks, model and prompt notes and change history are delivered with the system.
We check each use case against relevant regulations and industry-standard security checklists before work begins.
How we work here
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.
Evaluate
Guard
Review
Trace
We check the relevant requirements at the start of each engagement.
Small iterations, each with a demo — ideally weekly — plus a mid-milestone discussion and a demo at every milestone.
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.
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.
Automated checks, staging, rollback plans, securely stored secrets and least-privilege access.
Important user paths tested each milestone; automation where it adds most value.
A range per milestone with written assumptions, revisited at each checkpoint.
Against agreed criteria, with client testing before production use.
README, runbook, architecture overview, decision log and handover session.
Approved tools only. AI-written code is reviewed and tested by a person; AI features ship with evaluations.
You own the repository and deliverables, from the start.
Understand your business and agree next steps.
Capture goals, users, constraints and risks.
Agree scope, timeline and an approach.
Set up paperwork, workspace, communication and access.
Define the product, its architecture and delivery plan — the Blueprint.
Proceed with the Build, reprioritise to fit your budget or request a revised estimate if material new work has emerged.
Deliver in visible, tested milestones.
Release and transfer the system and documentation.
Continue through Run or Advisory where needed.
Close out access, materials and outstanding questions.
The written output arrives within a few days, with a recommended next step.
An initial call about your business and what you need.