AI Development
Custom tools and software, built around one specific problem
Sometimes the workflow doesn't fit inside a tool you can buy. We design and build the thing itself — internal tools, dashboards, micro-apps and AI features inside your own product — connected to the systems you already run on.
The problem
Bending the business to fit the software
When the off-the-shelf option only covers seventy per cent of the job, the process gets reshaped around the software rather than the other way round. The remaining thirty per cent turns into rules people carry in their heads, and the tool starts dictating how the business runs. Nobody decided that; it just accumulated.
The alternative is usually worse: six subscriptions stitched together to approximate one thing you actually need, plus a spreadsheet holding the joins. That spreadsheet becomes critical infrastructure — one person maintains it, it has no version history, and everyone quietly hopes they don't leave. At that point buying more software is not the answer. Building the missing piece properly is.
What this includes
What we build
Bespoke internal tools and dashboards
One screen that shows the thing your team currently assembles from four systems. Built around your actual workflow, not a generic template.
AI features inside your own product
Customer-facing capability built into what you already sell — summarisation, generation, search or scoring. Designed to fit your existing architecture and release process.
Data pipelines and enrichment
Reliable movement, cleaning and enrichment of the data everything else depends on. Scheduled, monitored, and honest about what failed.
Document and content generation systems
Structured generation of the documents you produce repeatedly — reports, proposals, specifications — from your own templates and data sources.
Rapid working prototypes
A real, clickable build in days rather than a concept deck. Useful when you need a board or an investor to see the thing before funding it.
Production hardening
Authentication, logging, error handling, backups and deployment done properly. The difference between a prototype and something you can put in front of customers.
How it runs
Prototype first, then build it for real
- 01
Scope and prototype (1 week)
We fix the scope and put a rough working version in front of you fast, so the debate happens over something real.
- 02
Build (3–6 weeks)
The full build, in weekly increments you can use. Integrations with your existing stack land as we go, not at the end.
- 03
Test against real data (3–5 days)
We run it on your real data and real edge cases with the people who will use it daily, then fix what that surfaces.
- 04
Deploy, hand over and support (ongoing)
We deploy it, document it, walk your team through it, and stay available while it settles into normal use.
What you end up with
What you end up with
Software shaped around how you work
The tool follows your process rather than forcing your team to invent workarounds for someone else's assumptions.
One tool replacing several
Usually a handful of subscriptions and manual steps collapse into a single place, which pays back on licence cost alone.
A prototype you can show early
Something working to put in front of stakeholders or a board while the decision is still being made.
A documented, maintainable build
Readable code, clear structure and written handover notes — not a black box only one person understands.
You own the code and the accounts. Nothing is locked behind us.
Next step
Build the thing you can't buy
Thirty minutes, no pitch. Describe the workflow nothing quite fits and we'll tell you whether it is worth building.