Your team gathers information, prepares briefings, and answers questions from material scattered across the business. Often it is a senior person redoing the same piece of knowledge work by hand every day or week. That is where we start – with one piece of work, not a transformation programme.
Start with one piece of work
Choose a recurring task that takes too much effort, depends on scattered information, or is difficult to do consistently. It might be preparing a briefing, answering questions from company documents, or bringing together information that several people currently assemble by hand.
Investigate before you build
We begin with a focused, paid investigation of one workflow, taking about ten working days once the agreed inputs are ready. We speak with the people doing the work, examine a sample of the material they use, and run a small test. The investigation costs £3,000 plus VAT, with the scope agreed in writing before we start. It includes up to two interviews and one agreed sample of material.
You receive a demonstration using the agreed sample; findings showing what worked, the sources behind the results, and where the test failed; and a recommendation to proceed, change the approach, or stop. If the test shows that this is not worth building, we’ll explain why and recommend what to do next.
Connecting a system to your live operations is a separate stage.
Build on what works
If the investigation supports going further, we agree the next stage of research and development: what to build, how your team will use it, and how we will judge whether it works. Our R&D sprints typically run 4-8 weeks and deliver working systems, not proof-of-concepts. We use a multi-model architecture, so you are not locked into a single AI provider as the technology evolves.
Where our platform, AIP, forms part of the work, we explain the ongoing licence and support arrangements before you commit.
Beyond efficiency
Automating today’s work is where we start, not where we stop. Once your knowledge is connected and your agents are running, the more valuable move is going after the problems that used to be too slow or too expensive to touch – the questions you couldn’t answer before, not just the ones you can now answer faster.
Have a task in mind?
Tell us what your team is trying to do, who does it today, and what makes it difficult. We’ll start with a conversation to see whether an investigation would be useful. Talk to us.
Want to know more first? We have put together a document with real-world examples, practical benefits, and links to useful articles.
Download our white paper on AI agents for business productivity.
