Solution
Workflow automation & AI integration
Practical automation and carefully governed AI, applied where it genuinely helps.
Automation works best on well-understood, repeatable work. We help you identify those opportunities, automate them reliably and — where AI adds real value — introduce it with the controls, review steps and data-handling decisions it needs.
What it helps with
- Remove repetitive manual steps
- Keep people in control of consequential decisions
- Choose AI providers with your data obligations in mind
- Measure whether automation is actually helping
Examples
The kind of work this covers.
Illustrative examples of the type of work — not descriptions of specific client projects.
Document and request triage
Classify and route incoming work, with a person confirming the outcome.
Rule-based workflows
Approvals, reminders and hand-offs that currently rely on someone remembering.
Engagement
How it typically runs.
- 01
Identify and prioritise candidate processes
Agreed with you at the start, reviewed together as we go.
- 02
Assess data, risk and provider options
Agreed with you at the start, reviewed together as we go.
- 03
Pilot with clear success measures
Agreed with you at the start, reviewed together as we go.
- 04
Roll out with monitoring and review
Agreed with you at the start, reviewed together as we go.
How we work
From problem to platform.
The same approach on every engagement. It describes how we work, not a guarantee of particular outcomes or timescales.
01
Discover
We start by understanding the problem, the people affected and the constraints — before proposing anything. Workarounds and spreadsheets are where the real requirements hide.
02
Design
We shape the workflows, data and interfaces with the people who will use them, and agree a first release that delivers value early.
03
Build
We deliver working software in increments you can see, test and steer, with security, accessibility and maintainability built in from the start.
04
Integrate
We connect to the systems you already rely on, with clear ownership of data, monitoring and sensible handling of failures.
05
Improve
Once people depend on it, we measure, support and refine — so the software keeps fitting the way your organisation works.
From problem to platform
Discover
Technologies we commonly work with: TypeScript, React, Next.js, Node.js, PostgreSQL, REST APIs, Webhooks, Docker, WebGL, Automated testing, CI/CD, Accessibility (WCAG 2.2).
Related products
Built on what we know.
Our standards
Built in, not bolted on.
Every piece of software we build — product or bespoke — is held to the same engineering standards.
Secure by design
Least-privilege access, MFA for administrators, encrypted transport and audit trails — designed in from the first commit.
Accessible to everyone
We build to WCAG 2.2 AA: keyboard and screen-reader friendly, readable contrast and respectful motion.
Integration-first
Clear APIs, signed webhooks and careful data ownership, so new software fits the systems you already have.
Observable
Health checks, error visibility and delivery tracking, so problems are noticed by us before your users.
Built to be maintained
Typed, tested, documented code with migrations and runbooks — software that outlives its first release.
Careful with data
Collect the minimum, keep it only as long as needed, and make access, export and deletion straightforward.
FAQs
Common questions.
Will you send our data to an AI provider?
Got something like this?Let's shape it together.
A short, structured request is enough to start a useful conversation — no account, no obligation.