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Enablement and culture

AI Enablement Labs

Workshops and labs for leaders and teams to apply AI to the company real challenges.

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The problem

Generic AI training does not change the work. People leave with new vocabulary and return to the same process, because nothing was applied to the challenge they actually have. Leadership is left without an operating model, and the team without practice.

Who it is for

  • Leadership that has to decide priorities, risks and an operating model with AI.
  • Teams using AI day to day without a shared method.
  • Areas moving from individual use to agents in operation.

When to engage

  • Alongside rollout, so the capability lands in the team and not only in the tool.
  • When adoption is uneven: a few use it heavily, most do not use it at all.
  • Before scaling, so the team does not multiply the wrong way of working.

The applied tracks

Four tracks, each for a different audience and a different question.

  • AI Leadership Lab

    Priorities, risks and operating model, for leadership.

    Leadership

  • AI Workforce Lab

    Practical use of AI in daily work, for the teams.

    Teams

  • AI Agent Lab

    From the process to an agent in operation.

    Agents

  • AI ROI Lab

    Financial hypothesis and auditable measurement.

    Value

Deliverables

  • Team AI literacy
  • Vision delivered
  • Cascading impact activated
  • Deliberate use of AI

What the company keeps

The content is adapted to the company context and the artifacts from the practice are reusable. What stays is not the memory of a workshop: it is a literate team, a delivered vision and deliberate use of AI built into the routine, with the impact cascading beyond the people in the room.

How it connects to the platform

The work that comes out of the practice enters the h|ve Platform with context and authority stated, instead of sitting in a handout. Enablement stops being an event and becomes the start of the operation.

Questions

Is this tool training?

No. The tracks start from the company real challenges, and what comes out is a literate team, a shared vision and deliberate use of AI at work, not a certificate for using a tool.

Can we engage a single track?

Yes. Each track serves a different audience and a different question, and each offer can be engaged on its own.

Do we need the platform?

Not for the labs. The connection to the platform is what turns a lab result into operation, but the applied work happens either way.

The other services

Which AI decision does your company need to make first?

In a first conversation we identify whether the best starting point is prioritisation, rollout, enablement or continuous governance.

Find your starting point