Start with the business objective
We work with the leadership team to establish an AI strategy around what the company is trying to achieve, not around a tool someone has already picked.
Make AI work inside the business, not around it.
We work out where AI is worth the money. Then we put the right work into operation, using your company's knowledge, systems and rules.
AI arrived before the company decided how to use it.
One person has Copilot through Microsoft 365. Another uses ChatGPT on a personal account. A third has settled on Claude and keeps a folder of prompts. That is a reasonable response, and some of it is good work. The company still needs to decide what work AI should do, what company knowledge it should use and when a person must approve the result.
A few people get faster. The business runs much the same way.
Buying access to tools does not settle which chores AI should do, where a person is the better option or how AI can help that person do better work.
AI should handle the computer chores, and make people better at the work they're best at.
When a task follows the same rules every time and a person brings no judgement to it, their time is better spent elsewhere. AI can now take a lot of that work on.
Some work needs a person.
Where judgement, trust or a relationship shapes the outcome, the work should stay with people. AI should help them do more of it and do it better, with the context and preparation ready when they need it.
Determine what deserves investment. Then put it to work.
Make the investment decision
We examine how the relevant work actually happens, evaluate the strongest opportunities and determine what should and should not be funded.
Prove it in operation
We build one tightly scoped piece of work and put it into operation within explicit authority. We measure the result against what we agreed at the start, so you can decide whether to continue, expand or stop.
No predetermined answer, including ours.
The commercial case, operating reality and technical path are judged together. The answer is not forced towards a particular tool, provider or Kriaka build.
Our approachValue has to survive contact with the business.
The test is whether the work operates reliably, is used by the people involved and produces an economic result the business accepts.
Examples