Decision-making training
Deciding fast and well, under pressure, with incomplete information: this is the daily reality of the Special Forces as much as of executives. ARXIBALD trains your teams in decision-making, transposing the proven methods of special operations to the business world.
Why train your teams in decision-making
In an uncertain, fast-moving environment, an organisation's quality is measured by its ability to decide at the right moment. Too many companies suffer from slow approval chains, fear of error and diluted responsibility. ARXIBALD's decision-making training instils a culture of owned choices: observe reality, orient the analysis, decide, act, then start again faster.
The Special Forces method: deciding under pressure
The Special Forces decide in seconds, where the stakes are vital. Their secret is not improvisation but training: a common framework, the OODA loop, decentralised command and the trust that allows everyone to decide at their own level. We transpose these principles to your leadership teams and managers.
The decision stays human
Deciding means committing your responsibility: weighing the available information, accepting uncertainty, making the call and owning it. The ARXIBALD method trains your teams to keep control of the decision, reduce collective biases and close the observe, orient, decide, act cycle faster.
As an option, this programme can include an AI-assisted decision-making module, depending on your needs.
Who it's for: CODIR, COMEX and managers
This training is aimed at leadership teams, managers and executives who must make trade-offs amid uncertainty. It runs in-house or inter-company, in Biarritz and across France and Europe, in French, English and Spanish.
Deciding
under pressure

- Master the ARXIBALD method of collective decision-making under pressure
- Structure a repeatable decision-making process in uncertain environments
- Develop the ability to decide fast and well, while keeping control of the final decision
- Reduce collective cognitive biases
- Experience the method in real conditions through a Serious Game: measuring the gap in decision quality before and after
- As an option: use artificial intelligence as an analysis and decision-support tool
- The Special Forces decision method: the founding principles of the Special Forces, learning the ARXIBALD method of collective decision-making, applying it to a practical crisis case, then debriefing biases and sticking points.
- Deciding under pressure: tempo, prioritisation, communicating intent, collective commitment and stress management.
- Serious Game: the crisis scenario replayed, with scoring of decision quality before / after and a collective debrief.
- Transposition to business and the ARXIBALD closing ceremony.
- Optional module, AI as a decision-making co-pilot: depending on your needs, integrating artificial intelligence into the process, sovereignty and control issues (keeping the decision in your hands), real-time decision support.
A decision-making or managerial role. No technical prerequisites; the method is designed to be operational immediately.
Serious Game with before/after decision-quality scoring, an individual debrief, and a personalised decision-making action plan.
Format, duration and funding
Tailor-made programme of 2 to 4 days, with short formats available from 2 hours. Qualiopi-certified training organisation. Price from €600 excl. VAT per day per person, depending on the number of participants and the programme.
Train your teams to decide under pressure
The Special Forces decision method, at the heart of our training.
Build my programme →Frequently asked questions
What is decision-making training?
A training programme that teaches you to decide fast and well under pressure, drawing on Special Forces methods (the OODA loop, decentralised command).
Who is it for?
To CODIR, COMEX, managers and executives, in-house or inter-company, across France and Europe.
How long does it last?
From 2 to 4 days depending on objectives, short formats from 2 hours. Price from €600 excl. VAT per day per person.