AI strategy & delivery
FireBreak helps organisations use AI with confidence. We work with organisations that want the value of AI without the risk — uncontrolled tools, unclear returns or untested outputs — backed by over 20 years' experience.

Trusted in production by
The technology rarely fails. Turning it into results you can measure is where it stalls — and that's the gap we close.
95%
of AI pilots never reach production
MIT
56%
of leaders see no clear return on AI spend
PwC
29%
of staff say their AI tools deliver real value
Writer
Pick your team. The value looks different depending on where you sit — but it's always delivered by people who've done it before, and always tested to hold up.
Our AI engineers build models that flag mispriced contracts and revenue leaking across your ledgers — governed and audit-ready, with evaluations that catch drift before your numbers do.
Delivered, not theoretical
We built an AI search engine spanning public services — designed to be safe from the start and proven accurate with our own AI Test Harness before it went anywhere near citizens.
We built a knowledge portal that resolves service issues faster — turning scattered internal know-how into answers their teams can act on.
A grieving passenger asked about bereavement fares. The bot confidently invented a discount that didn't exist. He booked, trusting it — and when the airline refused to honour the made-up policy, a tribunal ruled it had to pay.
The AI wasn't broken. It was simply left to run with no one checking what it told people. That's the difference we build in.
See why AI said what it said — and step in before a customer ever does.
Someone owns the outcome. Not a system quietly deciding on its own.
Clear boundaries, so AI helps your people without speaking for you unchecked.
What we do
Most organisations don't lack ideas for AI — they lack the people to deliver it safely. We add senior people from our 80-strong team to yours: AI engineers, ML and evaluation specialists, data engineers, governance experts and delivery leads who have put AI into production for years, not months.

Build and ship AI into your systems — search, knowledge, automation — to production standard.
Design, test and monitor models so they stay accurate on your data, and catch drift before it costs you.
Get your data clean, connected and ready, so the AI has something solid to work on.
Controls, audit trails and sign-off your board, regulator and risk team will accept.
Shape the right use case, bring your teams with you, and make sure it's adopted, not just launched.
Every output tested for accuracy with our AI Test Harness.
Models monitored in live use, so accuracy doesn't quietly decay.
Governance and testing built in, not bolted on.
Most AI works in the demo and then stalls at the desk — where people decide whether to trust it, change how they work, and actually rely on it. We plan for that from day one.

If people re-check every answer by hand, you've added work, not removed it. We build the confidence to let it run.
AI shaped around real workflows, so it's used every day — not once, then quietly dropped.
A clear owner after go-live, so it stays accurate instead of drifting and breaking quietly.
We measure success by real usage and results — not by whether the model shipped.
Why FireBreak
80 senior AI engineers, ML specialists, data engineers and governance experts. No juniors learning on your project. The team that delivered for Scottish Government, NHS 24 and Thoughtworks, and stays through go-live. Led by:
Jora Gill
Co-founder. Led AI at The Economist, RELX and SHL.
Gurdeep Grewal
Co-founder. Former CEO of intive and EMEA head of GlobalLogic.
In your team, your stand-ups, your tools.
You get runnable pipelines, prompts and checks — not a deck.
Experts on call, models monitored for drift, new use cases on the same team.
A 15-minute conversation. We'll tell you honestly where AI is worth it in your business — and where it isn't.