Custom software. Connected systems. Applied AI.
Five ways we work, from a first build through to the maintenance that keeps it useful years later.
Custom software development
Applications shaped by your workflow instead of the other way round.
We start from how the work actually happens: who touches a record, what they need in front of them, and where the current process breaks down. Then we build the application around that, from the data model up.
- Discovery of the workflow as it runs today, not as the org chart describes it
- Data model and architecture designed for how the business will change
- Application build with your team reviewing working software throughout
- Source code, documentation, and deployment pipeline handed to you
System integrations
Make the systems you already run agree with each other.
Most teams do not need another platform. They need the four they already pay for to exchange records reliably, so information is entered once and stays consistent everywhere it appears.
- Map of every system, the records it owns, and where they currently diverge
- Integration built on documented APIs, with retries and error handling
- Field-level mapping agreed with the people who use the data
- Monitoring so a silent sync failure surfaces as an alert
Applied AI and automation
AI pointed at specific steps, with a person still accountable.
We look for the steps where the work is repetitive, the inputs are structured, and the output can be checked. Those are the places automation pays. We are equally willing to tell you a workflow is not a good candidate.
- Assessment of which steps are suitable for automation and which are not
- Implementation with the human review point defined up front
- Evaluation against real examples from your own data before rollout
- Documented behaviour, including what the system does when it is unsure
Technical support
A route to someone who knows your system.
Support from the people who built the software, working against the same code and the same architecture decisions, so a question does not start with a stranger reading the repository for the first time.
- Defined intake route and response expectations
- Triage by engineers familiar with your codebase
- Fixes shipped through the same tested pipeline as feature work
- Written record of what changed and why
Ongoing software maintenance
Keeping it working as everything around it changes.
Dependencies age, APIs get deprecated, and requirements move. Maintenance is the scheduled work that keeps a system current instead of letting it quietly rot until a rebuild is the only option left.
- Dependency and security update cadence
- Monitoring of the integrations most likely to break upstream
- Scheduled review of what the system is being asked to do now
- Change log and a current architecture document you can hand to anyone
The same shape every time.
The work differs. The sequence does not, because skipping any part of it is how software ends up matching a requirements document instead of a business.
Follow the work
We watch how a record actually moves and where people compensate for the software. Discovery is observation, not a questionnaire.
Agree the smallest system
We propose the least that removes the bottleneck, and say plainly which parts of your request we think you should not build.
Build in the open
You review working software on a regular cadence. Architecture decisions are written down while they are being made, not reconstructed at handover.
Hand over and keep it current
Code, documentation, and pipeline are yours. Maintenance keeps the system matching the business as both change.
Work we turn down.
A fixed price against an unexamined scope
We will quote firmly once we understand the workflow. Quoting before that is guessing, and the cost of the guess lands on whoever has less information.
Replacing a system that works
If the product you own does the job and the gap is configuration, we will tell you that instead of selling a rebuild.
AI for its own sake
If a step cannot be verified by a person, automating it moves risk rather than removing work. We would rather lose the scope than ship that.
Not sure which of these you need?
Describe the workflow and the systems involved. We will tell you what we would build, what we would connect, and what we would leave alone.
Start a project