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AI readiness & training

Write a better instruction.
Check the answer. Use it in a task.

Practical training starts with the tasks your team performs, the tools they can use and the boundaries they need to understand.

Discuss team trainingSee what the team can explore
StarLabs colleagues sharing a guided discussion around laptops
  1. Diagnose
  2. Design
  3. Implement
  4. Train
  5. Support

For business and public-sector teams

Build confidence.
Develop working habits.

Explore a workshop or training plan built around your team’s experience and responsibilities. Connect the learning with real tasks and the tools approved for your organization.

What the team can explore

From understanding
to practical application.

Agree the content, examples and delivery format around the people attending.

  • Understand AI

    Compare an AI summary with the source document. Find omissions, incorrect details and questions that need a person.

  • Work with context

    Draft a customer reply or internal document with task context, an approved source and a clear format. Review it before use.

  • Use it responsibly

    Practise choosing what information can go into the tool and when to escalate the task under your organization’s rules.

Part of implementation

Training is a delivery step.
Not a separate handover.

When we implement a solution, training prepares the people who use it and the people who own the process.

  1. 01

    Diagnose

    Understand your business, workflows, data and readiness. Agree the problem worth solving.

  2. 02

    Design

    Shape a solution around your people, constraints and business goals. Define what success looks like.

  3. 03

    Implement

    Configure products, connect systems and build what is needed. Test the solution in the workflow.

  4. 04

    Train

    Help your team use the solution with confidence. Turn new tools into everyday working practices.

  5. 05

    Support

    Keep the solution useful as your business changes. Review performance and agree the next improvements.

Training deliverables

Exercises your team has practised.
Guidance it can use afterwards.

Agree the audience, tasks, tools and delivery format before the session.

Include in your training scope

  • Task-specific exercises using approved material
  • Example instructions and a review checklist
  • Rules for information use and escalation
  • User questions and recommended follow-up actions

Questions

Before the training.

Answers about the audience, the format and the tools.

Business and public-sector teams who will use AI in their work, and the people who own the processes. We agree the audience and their experience before planning the content.

No. The training starts from the tasks people already perform. Technical teams can go further into instructions, sources and review.

The tools your organization has approved. The exercises use those tools and approved material, so the practice matches the work.

Where your organization approves it, yes. Practice works best on the material people use every day; we agree what can be shared and how it is handled before the training.

Either. A workshop suits a first introduction; a training plan suits a team building working habits over time. We agree the format, length and delivery around your team.

Participants complete the exercises on real tasks during the training. We agree the follow-up actions and the questions to revisit with the process owner.
Coming soon

StarLabs Academy.

A new chapter in AI learning. First up: AI Brain Engineering.

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Plan your team’s
next step with AI.

Tell us one task, the tools involved and where it gets delayed. We’ll review the starting point with you.

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