02

AI Adoption

Make AI pay.

Turn scattered experiments into one or two that pay.

For CEOs, COOs and business unit leaders.

How it works

  • Find the use cases2 weeks
  • Choose what to build2 weeks
  • Put one into production6 to 12 weeks

First step: written scope.

02The problem

You can see the problem already.

You do not need a maturity model. You need a plan that changes the work.

01

Too many tools

Every team bought something. No one can say what works.

02

Pilots with no owner

The demo ends. The process stays the same.

03

No business case

The cost is clear. The return is a slide.

03How it works

How the work runs.

Each step has a deliverable, an owner and a date.

2 weeks

Find the use cases

Find where AI can save time, cut cost or improve a decision.

  • Where AI can help
  • Value, effort and risk
  • Shortlist with a named owner

2 weeks

Choose what to build

Rank the shortlist, write the numbers and choose the order.

  • Chosen use cases
  • The numbers for each
  • 12-month plan

6 to 12 weeks

Put one into production

Take one use case live, with a baseline and controls.

  • Pilot plan
  • Starting numbers
  • Go-live check
04An example

What you get.

A real document or tool your team can use on Monday.

The sample shows the format. Your matrix uses your use cases, owners and numbers.

ValueFeasibilityPlanDo nowParkTest

Illustrative examples, not client results. Select a marker.

Do now

Invoice exception handling

High volume, a clear baseline and a process owner who already measures the queue.

05What changes

What we measure.

A baseline before the work, one owner, and a small set of measures agreed in writing.

Time to first result

Kickoff to live.

Weekly use

By the target team.

Cost per task

Before and after.

Use cases ready to fund

With numbers.

06Questions

Questions we hear.

If yours is not here, ask it directly. We answer plainly.

Ask a question
Do we need a data platform first?

No. Start with one workflow and the data it already uses.

Will you recommend a vendor?

Any software fees are listed separately in the engagement.

What if the answer is no?

Then the numbers say no. Stopping a weak pilot is a result.

Next step

Find the first use case worth doing.

One conversation about where AI can pay, and where it cannot.