cpo.digital
AI in our solutions

AI, front and centre.
Customer value, first.

AI is central to how we build and what we can deliver. The customer problem still decides whether AI belongs at all.

Every company is under pressure to add AI right now. The valuable partner is not the one most excited about it. It is the one who can tell you where AI genuinely creates value for your customers, and where it only adds cost, risk, and noise. We have built enough of it, in production, to know the difference.

01
We build AI and ML products, and have for two years
Not experiments, not proofs of concept. We have been building AI and ML products and features in production for the past two years, delivered and measured. AI and ML are different tools for different problems, and we work with both: generative AI where the value is in language and synthesis, machine learning where it is in prediction and pattern.
02
We use AI to augment our own work
AI is part of how we deliver. We use it to read customer signals at a depth and speed that manual analysis cannot reach, to synthesise interviews and support data, and to accelerate discovery and the working backwards process. It is part of how a senior, focused team delivers like a larger one.
03
We help you decide where AI genuinely belongs
This is often the most valuable thing we do with AI: help you resist adding it where it does not serve the customer, and commit to it where it does. We identify where AI would measurably outperform the current approach, build it, and hold it to the same standard as any other product decision.
04
AI raises the bar for working backwards
AI makes it cheap to build almost anything. That makes building the wrong thing cheaper and faster too. So the discipline of defining the customer value before you build matters more in the AI era, not less. Working backwards is what stops AI capability from becoming a pile of features nobody asked for.
05
We build it responsibly, and measurably
Every AI feature we build has a defined measure of customer value set before it ships, so it is held to the same bar as anything else: did it solve a real problem for a real customer? AI does not get a pass on that question. It gets held to it more tightly.
$9.2M+
Annual saving from a single GenAI product deployment, realised within six months. One example of AI built against a real customer and business problem, not for its own sake.
AI is a tool for customer value, not a reason to build.
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