Looptra Describe my needs
ENFR
Both paths

From “we're trying it”
to “we use it.”

Your teams have access to AI. We help them find their way of working with it, on their tasks and in their tools.

Describe my needs

The workshop topic?
Your next Monday.

No need for a textbook example when your inbox, reports and briefs already contain plenty.

We start with real work. Learn to provide context, check the result and know when to take back control.

Turn a conversation
into a usable brief.

An example of work during a session

The input
An anonymised conversation and your brief template.
The work
Provide context, structure, review and correct.
What remains
A reusable method for future briefs.

Illustrative example. Use cases are chosen with your team.

A team practice,
beyond the demo.

Understand together.
Practise individually. Keep what helps.

Use cases chosen in the field

Identify recurring tasks, uncertainties and opportunities. Choose where AI belongs and where it does not.

Shared foundations and practice

Collective time to establish common ground. Role-specific work to apply, verify and improve.

Guidance that lasts

Memos, examples and reusable methods. Content and follow-up arrangements are defined during scoping.

Independence
takes practice.

We help teams get started with AI assistants, including Claude, using their own work situations.

  1. 01

    Listen to each role

    Gather real tasks, existing tools and difficulties.

  2. 02

    Establish the ground rules

    Understand context, limitations, confidentiality and verification.

  3. 03

    Practise on your tasks

    Try, correct and make methods repeatable.

  4. 04

    Consolidate what works

    Document successful practices and prioritise the next steps.

Before we start.

Does the team need to use AI already?

Scoping takes starting levels into account. Shared foundations and practice are adapted to the team's roles and use cases.

Is this generic training?

Your team's tasks and documents provide the working examples. The aim is to build reusable practices in your own context.

How do you handle sensitive information?

We define the rules and access before exercises. Anonymised examples allow practice without exposing information that must remain private.

What if we need software or an AI integration?

Enablement may reveal a need for software, an agent or an MCP connector. We scope that work within the software development and AI integration path, with its own deliverables.

Where could your team
start?

A process that stalls, a team that hesitates,
a need you cannot quite put into words. Let's start there.

Describe my needs