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Training managers for IA agents

Manager a team composed of humans and AI agents

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In short

Why train in Hybrid human-AI management ?

Generative AI and agential AI are gradually pushing the boundary between what falls under human execution, automation, decision-making assistance, and coordination. The manager no longer only leads employees; he must learn to lead work systems where humans, AI tools, and AI agents interact.

This training helps managers take a step back in these new collaboration modes, clarify what should remain human, what can be delegated to AI, what should be supervised, and lay out a readable, responsible, and meaningful management framework.

The Benefits Training for Human/AI Hybrid Managers

Understanding the impacts of AI agentic in the work, roles, responsibilities and modes of coordination.
Clarifying the distribution of tasks Between humans, AI tools and AI agents to better distinguish what is delegated, supervised, or preserved by humans.
Developing a hybrid manager’s attitude able to give meaning, arbitrate and secure the use of AI within the team.
Frame the human/AI co-decision by maintaining a critical mindset, managerial responsibility and the quality of decisions.
Accompanying the evolution of work by building a framework of trust, learning, and lasting collaboration between humans and AI.

Example Learning Modules Pedagogical

A fully customizable program , tailored to your organization's context, objectives, and the number of participants.

Dislocation: breaking the established ideas about AI/human interaction

Understand how AI is already present in teams and work situations.
Identify the possible forms of interaction between humans, generative AI, and AI agents.
Exploring simple cases: agents who plan, restart, coordinate, or arbitrate certain tasks.
Distinguish between automation, assistance, augmentation, and delegation.
Becoming aware of the representations, fears, and shortcuts associated with AI.

Managing human/AI complementarities

Distributing tasks: what should remain human-controlled? What should be delegated to AI? What should be supervised?
Identify the activities where AI creates value and those where the human must remain central.
Clarify the concepts of co-action, co-decision and co-responsibility.
Analyze the issues of trust, meaning, quality, and responsibility.
Set the first benchmarks for an operational framework for the use of AI within the team.

Reflecting on a hybrid management style

Re-reading the key competencies of the manager in an augmented environment.
Identifying what remains non-negotiable: responsibility, arbitration, meaning, regulation, trust.
Identifying what changes profoundly: control, expertise, temporality, monitoring of activity, decision-making modes.
Becoming aware of human biases regarding AI: automation, excessive trust, rejection, resistance.
Develop a management style capable of ensuring the use of these technologies without hindering experimentation.

Building your action framework for a hybrid team

Defining the rules of the game of human/AI collaboration within their team.
Identify the rituals useful for following the customs, sharing the learnings, and dealing with difficulties.
Clarifying the points of vigilance: confidentiality, reliability, quality, responsibility, mental burden, and maintenance of skills.
Defining the first actions to support his team over time.
Formalize an individual or collective action plan.

A follow-up/anchoring action is recommended at the end of the training.

Our approach Pedagogical

A Senior Consultant to adapt the learning module to your context

Some interactive, participative workshops and simulations in subgroups

A limited number of participants per session for more interaction

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FAQ Training for Hybrid Human/AI Managers

What is a human/AI hybrid manager?

A human/AI hybrid manager leads a team in which certain activities are performed, assisted or coordinated with artificial intelligence tools. His role is to clarify usage patterns, distribute responsibilities, maintain a critical mindset, and preserve the value of human work.

Why train managers on human/AI hybrid teams?

Training managers on hybrid teams helps avoid a disorderly adoption of AI. They learn to distinguish what can be automated, what must remain human, and what requires supervision, arbitration, or guidance to ensure collective performance.

What is the difference between an AI-augmented manager and an AI-hybrid manager?

The augmented AI manager uses artificial intelligence as an assistant to save time and improve their practices. The hybrid manager goes further: he learns to run a work system where humans, AI tools, and AI agents collaborate around common goals.

What topics are covered in this training?

The training addresses common misconceptions about AI, the complementarity between human and machine, the distribution of tasks, co-decision making, responsibility, biases regarding AI, the role of the hybrid manager, and the operating rules of an augmented team.

Does this training already require the use of AI agents?

No. The training can be followed even if the AI agents are not yet deployed in the company. It is precisely designed to anticipate future impacts, to prepare managers, and to set a framework before the use cases develop too quickly.

Why choose talenco ?

Data for talenco 2026

+15 years

Experience in leading organisational transformations

+90 Expert Consultants

Specializing in management practices and ways of working

450+ Organizations

Supported on their transformation journeys

9,500+ Managers

Trained every year