The most profitable organisations should also be the most sustainable, because waste and inefficiency cost them both.

What we believe

Almost every business problem and almost every sustainability problem is a people problem. Not in a soft sense. In the sense that organisations already hold most of the information they need to fix what is wrong, and it stays unfixed because nobody can see the whole picture, or because the person who can see it cannot get anyone else to move.

Empathy is the skill that closes that gap. Not kindness, and not sympathy. Intelligence about people: your team, your customers, your suppliers, the regulator, and the person who has to sign off the budget. Understanding what is actually going on beneath what is said, and using it to decide.

It is also where AI stops being enough. A model will process your data and find the pattern. It will not read the room, test an assumption nobody wrote down, or notice that two teams are reporting the same number differently. Projects rarely stall on bad analysis. They stall on the human parts: assumptions nobody checked, people already doing the work of three, information that never reached whoever needed it, and resistance that is never said out loud. That is the part somebody still has to do.

We start where you are. We surface what you have not seen yet. We do not pretend that change is easy.

How we got here

Optomize grew out of The Idea Consultancy and the Business Sustainability First Principles Accelerator. Across fifteen years of coaching, consulting and training, the pattern kept repeating: organisations wanted to do better, and the tools available were too expensive, too slow, or too disconnected from how people actually work.

The other half of the pattern was measurement. Most businesses do not measure their impact, and it is rarely because they do not care. It is that they do not know where to start, it costs money and time they have not budgeted, there are too many moving parts to hold at once, and they suspect that reporting makes them accountable for a standard they have not set yet. So it sits in the too-hard basket, or the not-now one. Meanwhile the first numbers they need are usually already in a power bill.

So we built a way to close both gaps. AI that understands business context, paired with coaching that understands human context. The technology scales. The empathy does not get cheaper, but it does get more accessible.