AI App Development
AI inside your products
and systems.
Assistants, agents and automations connected to your data, with a person signing off where it matters. Evaluated before launch and monitored once live.
Useful, safe and measured.
AI features that do real work in your apps and systems, not demos that stall in production.
A person signs off. Where it matters.
AI drafts, sorts and summarises. Your team approves the decisions that matter, and every answer shows where it came from.
What we build.
AI features that do real work in your apps and systems.
Assistants. Inside your app.
Chat, search and summaries grounded in your own content.
Your data. Connected safely.
Answers drawn from your documents and systems, with access rules respected.
Agents. With human review.
Automations that handle repetitive work and hand decisions to people.
Evaluation. Before launch.
Tested against real examples, so quality is measured, not guessed.
Monitoring. Quality and cost.
Answers, errors and spend tracked once the feature is live.
Privacy. By design.
Data kept to what each feature needs, with personal data left out where it is not.
From idea to AI in production.
Six steps that take an AI feature from first idea to something your users rely on.
- 01
Use case
Find the task where AI saves real time, and how success is measured.
- 02
Data review
Check what data the feature needs and where it can be processed.
- 03
Prototype
A working prototype tested against real examples.
- 04
Build
Integrated into your app or systems, with human review where needed.
- 05
Evaluate
Quality, safety and cost measured before launch.
- 06
Monitor
Live answers, errors and spend tracked and improved.
Case studies
AI products we've built
A voice-enabled cooking app, built from scratch
Hands-free recipes, timers and shopping lists that work while you cook.
Read case study ›
Civic apps and data platforms councils rely on
Public APIs, dashboards and reporting where security was non-negotiable.
Read case study ›
Safeguarding platforms for colleges and health providers
Compliance, auditability and duty of care built into every screen.
Read case study ›Questions
AI app development FAQ
Which AI models do you work with?
Models from Anthropic, OpenAI and Google. We choose per task, based on quality, cost and where your data can be processed.
Is our data used to train AI models?
No. We use business API terms where your data is not used for training, and the gated rules on our AI-assisted development page keep personal data out of development tools.
Can you add AI to an existing app?
Yes. Most AI work connects to apps and systems that already exist.
Do we need lots of data to get started?
Usually not. Many useful features work with the documents and systems you already have. We review your data before recommending an approach.
How much does it cost to run AI features?
Running costs depend on usage and the model chosen. We estimate them during discovery and track spend once live, so there are no surprises.
How do you keep AI accurate?
We test against real examples before launch, keep a person in the loop for decisions that matter and monitor quality once live.
Start a project
Ready to put AI to work? Let's talk.
Start with a 30-minute call with our product lead. We'll tell you honestly whether we're the right team.