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We build the layer that lets AI use them: the data, the pipelines that move it and the checks that keep it right. The interface comes last.
Some of the organisations we have worked with
Budget spent on thin layers over someone else’s model. Nothing of yours inside.
Systems of record that hold everything and answer nothing.
An assistant asked who to use, naming your competitors and not you.
None of these was an AI project. Each built the part AI depends on: structured data, a feed the client controls, a search shaped by how people really look. A tool is only as good as the data it can reach.
Insurers and solicitors choose a case manager by location and specialism first. So we built a finder that lets them filter HCML’s case managers by location, profession, specialism and region, and see them on a map.
Under the screenEvery case manager held as structured data, so the search follows the way clients really look.
Read the HCML case study
Our first analysis found job adverts poorly optimised and a job search that was hard to use. So we rebuilt the site and the technology under it.
Under the screenA secure API that receives job data from Broadbean and can post adverts to several websites.
Read the Staffline case study
To show that Conergy used what it sold, we proposed powering its website from one of its own solar installations.
Under the screenRun on solar, wind and battery power, the site showed visitors real-time data and the savings of an off-grid supply.
Read the Conergy case study“I’ll be honest, plenty of agencies promise they’ll get to know your business. Ideate actually did it. They started with our customers rather than our logo, and the behavioural research they came back with told us things about how all our various customer groups choose a provider that we genuinely hadn’t seen before.”
Each starts from your data and ends with something you keep. Nothing ships on a demo.
Fewer screens. One canvas that starts from what a person is trying to do. Agents take the steps between, and a person signs off anything that leaves the building.
You keep the working set-up, and written rules for who signs off what.
Models adapted to your data, run where you control them, fed by pipelines you own. Every output is checked against the decisions it supports.
You keep the pipelines, the data rules and the environment it all runs in.
When someone asks Google or an AI assistant who to use, the answer names a few firms and cites a handful of pages. We help you earn a place in it, measure it from Google’s own figures, and promise nothing nobody controls.
You keep a baseline of who’s named and what’s cited, weekly write-ups and a monthly report in plain English.
“The Ideate team worked with us on a full user experience journey, including meticulous research and planning on competitor and data analysis right through to detailed sketches, prototypes and behavioural design.”
“Ideate’s enthusiasm for this project never faulted in spite of several setbacks and inspired us all. Their technical expertise combined with their creativity evolved this project into so much more than we thought it could be. I would thoroughly recommend them.”
We use AI tools to help us research, draft and check our work. We don’t put your personal details into them. When we interview your people, the notes we work from have names and personal details taken out.
When we set up AI tools for your team, they’re set up in your own accounts, so your data stays under your control.
No. Nobody controls what an assistant says, and answers change between tools and runs. Anyone who guarantees it is guessing. We can make your site clear and worth citing, and show you honestly what changes.
We set out exactly what’s included, and the terms, before anything starts, once we understand the brief. Ask us in the Intro, which is free.
No. The plan is yours, written so your own people, or anyone else, can carry it out.
If it’s worth going further, our AI readiness review is a fixed first step: about three weeks, and you leave with a ranked list of uses and a 90 day plan.
