Callimac
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Analysis and practical tips to support your managers every day.

The manager who steps back, the team that grows
Opinion

The manager who steps back, the team that grows

Why servant leadership is gaining ground today. The hero-leader model is running out of steam: enter the manager who serves their team's growth.

May 28, 20267 min
Callimac selected for VivaTech 2026 with Bordeaux Métropole
News

Callimac selected for VivaTech 2026 with Bordeaux Métropole

Callimac has been selected to take part in VivaTech 2026 alongside the Bordeaux Métropole delegation. If you're there, come and discover our AI assistant for managers.

May 25, 20262 min
Can artificial intelligence make management more ethical?
Opinion

Can artificial intelligence make management more ethical?

When machines rehumanize the managerial relationship. An AI designed with discernment, guided by a humanist vision, can help make management more ethical.

April 10, 20266 min
The hidden cost of the unsupported manager
HR Strategy

The hidden cost of the unsupported manager

When the lack of support becomes a strategic risk. We massively underestimate the cost of an unsupported manager - and the numbers are public.

March 26, 20264 min
Setting good objectives isn't a method problem. It's a diagnosis problem!
Goal setting

Setting good objectives isn't a method problem. It's a diagnosis problem!

In many organizations, objectives are formalized yet the same unease returns at period end. The issue isn't how to write better objectives, but what to set them on.

January 29, 20264 min
Managing team conflict: a real-world case with Callimac
Conflict management

Managing team conflict: a real-world case with Callimac

Two team members regularly clash over task prioritization. Tensions build and team morale suffers. How do you defuse the situation without being authoritarian?

December 18, 20255 min
Giving constructive feedback: a real-world case with Callimac
Feedback culture

Giving constructive feedback: a real-world case with Callimac

A team member meets deadlines... but their output contains errors and is hard to read. How do you give feedback that truly helps them improve, without putting them on the defensive?

December 1, 20255 min