AI automation builders
Turn a promising AI experiment into a workflow people can trust.
Build useful automations and internal tools with an engineer beside you. We work with Claude Code, Codex and the tools that fit your team, then put the result through ordinary engineering review before it reaches real users.
Agree the scope, access, timeline and price before committing.
The starting point
You have an AI-assisted prototype or a workflow idea that needs engineering and review.
Founders, operations teams and developers who have a concrete workflow to improve and need help moving from a prototype to a supported release.
A bounded working build with checked changes, evaluation cases and a clear route to operation.
When another starting point may fit better
If you still need to choose a use case, start with consulting. If your goal is to teach the team to build and review changes themselves, start with training.
Choose the step between your demo and daily use.
Choose a starting point and inspect a sample of the decisions, review evidence and handover it involves.
A builder sprint
Bring one repeated task. We map its inputs, approvals and exceptions, build a small version together, and test it with representative examples.
A bounded workflow brief
An enquiry arrives in an inbox. Staff need a checked summary before calling back.
- First release
- Capture one approved enquiry source, prepare a draft brief and place it in a review queue.
- Keep with a person
- Confirm missing details, pricing and any commitment to the customer.
- Try before release
- A complete request, missing contact information and a duplicate submission.
- Operating owner
- The office lead reviews exceptions and can pause the workflow.
Match the draft to its source. Confirm that missing information stays a question and duplicate requests do not create a second callback.
A checked first workflow and an explicit decision on what can be released, revised or left manual.
Selected example: A builder sprint.
Tangible outputs
A working build, with evidence to review.
- One agreed workflow and its excluded actions
- A working release in your repositories and approved tools
- Representative tests, review checkpoints and operating guidance
- A named owner, measured starting point and next iteration plan
How to judge the result
Run the agreed evaluation cases, inspect code and permissions, and demonstrate what happens when an input is missing or a connected tool is unavailable.
Scope and responsibilities to agree
Coding agents are collaborators, not a substitute for engineering accountability. We agree tool subscriptions, approved data, repository access and release authority before starting. We do not promise unattended production changes or fixed time savings.
From a promising prototype to a controlled release.
- 01
Choose a narrow starting point
Agree a workflow with visible inputs, a responsible owner and an outcome you can measure.
- 02
Build and review together
Work in short demonstrations. Review generated code, permissions and failure cases alongside the useful path.
- 03
Put it into everyday use
Release gradually, train the owner and agree how changes and incidents will be handled.
For the first conversation
Bring a starting point, not a finished brief.
- Bring the idea or prototype and one task it should complete.
- Describe approved data, tools and deployment constraints.
- Name the engineer or workflow owner who will review the result.
Use general or approved examples. We’ll agree any deeper access before reviewing private systems.
Free editable notes for your team. No email needed.
Before you commit
Your questions, answered.
Is this only for developers?
No. Business teams can shape the workflow and review outcomes. An engineer still owns implementation, security checks and deployment.
Do we have to choose Claude Code or Codex first?
No. We start with your environment and access requirements. We can evaluate either tool on the same small task; licenses and data policies are checked with your team.
What shapes the price and delivery plan?
The workflow, repository condition, connected tools, evaluation cases and release requirements shape the quote. Engineering delivery is separated from model usage, licences and support. Your review availability and integration access are included in the delivery plan.
Can we start with our existing prototype?
Yes. Describe what works and where it fails using general examples. We agree deeper access separately, then choose whether to improve the prototype or build a smaller controlled path. A workflow owner and engineering reviewer help assess the result.
What happens after the first release?
The handover identifies the operating owner, known limits, recovery steps and change review process. Maintenance, further workflows and incident coverage are agreed separately. The first release gives you evidence for deciding what to do next.
Make progress before a bigger commitment
Take one useful step with your team.
Bring the idea or prototype and one task it should complete. This gives you something concrete to discuss, whether you work independently or bring us in.
Use the free planning guide ↗Prefer to prepare it yourself?
Automation readiness workbook
You have several automation ideas and need to choose one. Review an illustrative example and the requirements before choosing this starting point.
Explore the toolkit preview ↗Your next decision
What should your AI prototype do reliably?
Share the task, what already works and where you need help moving beyond the demo. Keep credentials and confidential data out of the enquiry.
The enquiry is free. Paid work starts after an agreed scope and proposal.