For managers

Generative AI for managers: what to do on Monday morning

You don't need an AI strategy. You need to know which tasks in your week can move into a tool, which must stay with you, and how to ask your team to do the same without spending a quarter on it.

What actually gets in the way

Twelve hours a month, task by task

TaskToolObserved gain
Meeting notes and decision logOtter, Notion AI≈ 2 h / week
Annual review prep from a year of notesClaude30 min per review
Summarising a 40-page file before a committeeNotebookLM1 h per file
First draft of a scoping noteChatGPT, Claude40% of writing time
Chasing actions after a meetingMake, Zapier≈ 1 h / week

Gains observed by Makia Labs across 30 industrial SMEs (2024–2026). Varies with adoption depth.

What must never go into a tool

The rule we install during training fits in one sentence: nothing that identifies a person, nothing legally binding, nothing you wouldn't put in an email to a supplier.

  • Individual reviews, sick leave, named HR situations.
  • Non-anonymised client data, negotiated prices, live contracts.
  • Anything whose output you couldn't check yourself.

The MAKIA filter applied to your team

Before adding a tool: what real problem are we solving, who will use it and who decides, on what data, how do we measure the value, and is it aligned with culture and GDPR. This filter eliminates 80% of "AI-for-AI's-sake" projects. We keep the 20% that actually create value.

What we do with you

  • One training day, 60% hands-on practice on your real files, not demos.
  • A one-page usage charter the whole team can read.
  • Three use cases chosen with you, measured at day 30.

Start with your own week

The self-assessment takes 5 minutes and returns a score per dimension, no meeting required.

Take the free audit →