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The AI Uplift Methodology

How we help you make progress with AI.

Four steps that make AI part of how your team works. Measure where you start, train on real work, build it into daily practice, then measure again. You can start with any step.

AI-generated illustration: a person typing at a desktop computer at a curved wooden desk.

The methodology

Measure. Train. Embed. Prove.

A one-off course can’t tell you whether anything changed. Ours can. We measure your team before training and again afterwards, so you can see what moved.

01

Measure

Understand your starting point with free indices for personal AI use, organisational adoption and governance.

Explore the indices →

02

Train

Hands-on training built around your team’s real work. Build practical skills to use AI safely and well. You can book training directly.

Explore training →

03

Embed

Apply the skills, agree safe working practices and choose tools that fit your work.

04

Prove

We measure again after training, so you can see what moved, and use it to decide what to keep, improve or support next.

Inside the Train stage

The Loop

A four-step method your team will actually remember.

Spot, Prompt, Check, Decide. Four steps to assess where AI can help, give it useful context, check its work and decide what to do. It is the practical method taught within our training.

Taught in full during training

  1. Spot

    Choose the right task to start with

  2. Prompt

    Give clear instructions and useful context

  3. Check

    Check facts, meaning and suitability

  4. Decide

    Use your judgement to use, revise or reject the result

Then back to Spot, on the next task

Measure and Prove · reviewing change

From your starting point to changes in practice.

Training feedback tells you how the session went. A repeat index three to six months later tells you what changed at work.

  1. Starting point

    Understand current practice

    Take the index that fits and note what you want to improve. You can book training without one.

  2. Training feedback

    Tell us how it went

    Tell us what was useful and what could improve.

  3. Putting learning into practice

    Give new habits time

    Apply the learning to suitable tasks, check the outputs and record what helps. Allow time for habits to develop before repeating an index.

  4. Review after three to six months

    See what has changed

    Repeat the index for free and compare the findings with what you see at work.

Your results on Benchmark Lab

Benchmark Lab provides the indices and results. After training, your training hub shows the results you have access to beside your course: an index taken through The AI Lab shows by itself when you use the same email address on both sites, and you can add any other.

Sign in to your training About Benchmark Lab

Choose the support you need.

Use your findings on your own, or ask us for training or AI Adviser. Repeating an index is always free.

Training and advice

Safe use & governance

AI governance is built into every session.

Safe, responsible use runs through the methodology, with guidance suited to your sector. The free AI Governance Index shows how your policies work in everyday practice. It is not a compliance certificate.

Built in, not bolted on

Safe use is part of the method from the first task, never a footnote at the end.

Tuned to your sector

Risk notes reflect the professional duties your industry already works under.

Evidence from everyday work

Check that people understand the agreed rules and actually use the checks. That evidence counts as much as the index score.

See it in practice.

Explore the three free indices or book training directly. Choose the starting point that fits your needs.

Explore the indices Training & pricing