Expertise 5 of 5 — People and work with AI

People and work with AI.

Evolve work, skills and organisation for lasting AI adoption.

Start with actual work

Your priorities

Tools are available but usage is fragmented. Managers need guidance and teams have questions about how their roles will change. You want to connect performance, skills and quality of work.

How we help

  1. Usage diagnosis and observation of actual work.
  2. Analysis of effects on activities, roles and skills.
  3. Support for managers and employee dialogue.
  4. Co-design of practices, responsibilities and validation.
  5. Transformation programmes combining organisational change and AI solutions.

What we build with you

An activity analysis; change scenarios; a skills and adoption roadmap; guidance for managers; and measures of performance and quality of work.

Measuring value

Actual adoption, team autonomy, skills development, quality of work and process performance. We also examine how released time is reinvested.

AI in practice

Transformation shows in the way work gets done.

FAQ

Questions that matter.

When should teams be involved?

From scoping, to understand activities and design uses with the people who will work with them.

Is support limited to training?

It also covers roles, management, validation rules and work organisation.

01

Scope

Analyse actual work, data and constraints. Design the target operating process with teams and define success criteria.

02

Validate

Build an initial solution and test it with users. Measure benefits, quality, risks, costs and energy consumption.

03

Deploy

Integrate the solution into operations, prepare teams and organise its running. Monitor use and improve both agents and processes.

Your next move

Let’s discuss
your ambition.

A clear need or an early idea? Start with a conversation. We will reply within a few days.

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