How long does an AI strategy take to produce?

Two weeks through the AI Opportunity Review, or a single working day through the AI Operator Workshop if your leadership team wants to build the first version together. Anything that takes a quarter to write is a report, not a strategy.

Do we need a Chief AI Officer?

Most businesses under £50m do not. They need someone senior who owns adoption internally, and an operating partner at leadership level who has done it before. That is what the AI Operator Advisory covers.

Do you implement, or just advise?

Both. The strategy is the start. We build the systems, train the team and measure the result. We would rather not write a plan nobody ships.

AI strategy

AI strategy that starts with the business, not the technology.

Where AI creates value in your company, what to build, what to ignore, and how to get the team using it.

An AI strategy is not a list of tools. It is a set of decisions about how the business should operate once increasingly capable AI is available to everyone, including your competitors.

The technology is becoming easier for everyone to access. The hard part is no longer getting hold of it. The hard part is knowing what to change inside the business. That is where we work.

What a useful AI strategy contains

Where the value is, ranked: which processes, which teams, how much
What changes in the operating model: what agents handle, what managers see, what humans keep
What to build, what to buy and what to ignore for now
Data and governance: what you need in place before anything customer-facing goes live
Team adoption: who owns it, how people are trained, how resistance is handled
Measurement: the three or four numbers that tell you whether it is working

Why most AI strategies fail

They are written by people who have never run the business they are writing about. They start with the tool and work backwards. They produce pilots that never touch the P&L. And nobody owns adoption, so the beautifully configured system sits unused.

We have made every one of those mistakes inside our own companies, which is why the strategy we write for yours looks different.

How we do it

For most businesses the strategy comes out of the AI Opportunity Review: two weeks inside the business and a prioritised 90-day roadmap. For leadership teams who want to think it through together first, the AI Operator Workshop produces an AI Operating Blueprint in a day. Then we build it with you, or you build it yourselves.

AI strategy for SMEs versus larger organisations

In an SME the strategy should be short, one area at a time, and paid back inside a quarter. In a larger organisation it becomes an operating model question: governance, data, how functions coordinate through an AI operating layer. Same principles, different scale.

Questions

How long does an AI strategy take to produce?: Two weeks through the AI Opportunity Review, or a single working day through the AI Operator Workshop if your leadership team wants to build the first version together. Anything that takes a quarter to write is a report, not a strategy.
Do we need a Chief AI Officer?: Most businesses under £50m do not. They need someone senior who owns adoption internally, and an operating partner at leadership level who has done it before. That is what the AI Operator Advisory covers.
Do you implement, or just advise?: Both. The strategy is the start. We build the systems, train the team and measure the result. We would rather not write a plan nobody ships.

Start with the business. Then choose the technology.

Twenty minutes with an operator who has done this inside real companies. We'll tell you where AI matters for yours, what to ignore, and what we would build first.

Book a call with Jack Get Your AI Operator Score →