Understand the challenge
We review current work and choose scenarios for the pilot.
AI pilot for project work
We choose one or two ways AI could help the team, test them in daily work, refine roles and rules, and assess the outcome before broader adoption.
01 / CONTEXT
When this fits
- You have real projects and are ready to change how one defined area works.
- You need to test the scenarios before rolling them out across a department.
- There are no shared rules yet for using AI or assessing its impact.
02 / OUTCOME
What your company gains
- Tested scenarios, rules and templates that respect data requirements.
- Baseline measures and an assessment after the test.
- A process for reviewing results and a recommendation on wider adoption.
03 / PROCESS
How the work proceeds
Set the baseline
We agree on measures, constraints and how to assess the outcome.
Test the scenarios
We describe the process before and after the change and run two to four tests on real tasks.
Decide what comes next
We record the rules and findings, then decide what is worth developing further.
04 / SCOPE
Scope of work
The pilot includes support for the agreed period. Software integrations and AI agents as separate IT projects are outside this format.
BEFORE WE START
Frequently asked questions
What tasks can we choose?
For example: project status, meeting minutes and actions, a project charter or a risk register. We choose the specific scenarios for the company’s needs.
Is this a course?
This is collaborative work on the company’s tasks. The pilot produces tested scenarios and rules for their use.
What happens after the pilot?
Based on the results, we decide whether and where to continue. Moving to the next stage is not automatic.
Where should change begin?
Tell me about your challenge, projects and team. In our first meeting, we will discuss the constraints and a possible next step.
Discuss your project ↗