Agentic AI
Design reliable AI agents with governance, tools and human review.
Design AI agents your team can actually trust. Map real workflows to governed agents using the Agent Design Canvas, understand MCP connections, and leave with a pilot roadmap, without losing human judgement or review.
Duration
4 hours
Delivery Format
In-person, Online, or Hybrid
Practical stack
Tools your team will use
Practical tools, live workflows and a clear review path.
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Agentic AI tools
Use the tools your organisation has approved, with clear task boundaries.
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MCP and approved integrations
Turn one live business task into a reusable workflow your team can own.
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Human review checkpoints
Verify outputs, protect sensitive information, and keep the final decision human.
Decision support
Who Should Attend
Operations teams, leadership groups, finance, product and IT professionals who want to move from AI experimentation to governed, reliable agent workflows, without losing human review or source quality.
- Agent Design Canvas, a reusable structure for every agent brief
- MCP explained in plain business language
- A governed agent brief with source rules and refusal logic
- Human review checkpoints and audit patterns
What this workshop helps your team do
Agentic AI is a facilitator-led corporate workshop for teams that need usable skills and governed workflows. Design AI agents your team can actually trust. Map real workflows to governed agents using the Agent Design Canvas, understand MCP connections, and leave with a pilot roadmap, without losing human judgement or review.
Participants work with Agentic AI tools, MCP and approved integrations, and Human review checkpoints. The exercises are adapted to the tools your organisation has approved, the data people may use, and the decisions that must remain under human review.
The standard format is 4 hours. Delivery is available on-site, hybrid, or online in France, including Paris, Lyon, Marseille, Bordeaux, and Toulouse. The agenda can be adjusted for one function, a cross-functional cohort, or an executive group.
This workshop is designed for operations teams, leadership groups, finance, product and IT professionals who want to move from AI experimentation to governed, reliable agent workflows, without losing human review or source quality.
Your team leaves with evidence of learning and reusable outputs, including Agent Design Canvas, a reusable structure for every agent brief, MCP explained in plain business language, A governed agent brief with source rules and refusal logic, and Human review checkpoints and audit patterns. Before delivery we confirm objectives and sensitive-data rules; after the session you receive the agreed workshop artefacts and next-step recommendations.
Syllabus
View full syllabus
Introduction to Agentic AI
Understand the move from passive chatbots to active agents that perceive, reason, plan and act toward a business goal.
Memory, Planning and Context
Learn how short-term memory, long-term memory, retrieval and planning strategies support complex multi-step work.
Tool Use and Function Calling
Design tool schemas that let models interact with APIs, databases and business systems safely.
Multi-Agent Orchestration
Explore when multiple agents help, how to divide responsibilities and how to avoid brittle autonomous workflows.
Governance and Human Review
Define approvals, escalation rules, logging and ownership so agent workflows remain auditable.
Pilot Roadmap
Select realistic first use cases and leave with a backlog for implementation, measurement and scale-up.
Who Should Attend
Operations teams, leadership groups, finance, product and IT professionals who want to move from AI experimentation to governed, reliable agent workflows, without losing human review or source quality.
Our Interactive Platform
A practical learning environment designed for engagement and real-world application
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Agent sandbox environment
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Multi-agent orchestration visualizer
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Custom tool builder interface
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MCP integration patterns
Key Takeaways
- Agent Design Canvas, a reusable structure for every agent brief
- MCP explained in plain business language
- A governed agent brief with source rules and refusal logic
- Human review checkpoints and audit patterns
- A pilot roadmap with owner, timeline and success metric
Need a custom workshop for your team? Contact us for enterprise solutions.
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Questions before booking
What will our team learn in the Agentic AI workshop?
Design AI agents your team can actually trust. Map real workflows to governed agents using the Agent Design Canvas, understand MCP connections, and leave with a pilot roadmap, without losing human judgement or review. Exercises turn the concepts into repeatable work habits with clear human review.
Which tools are used in Agentic AI?
The practical stack includes Agentic AI tools, MCP and approved integrations, Human review checkpoints. We adapt exercises to the products your organisation has approved rather than requiring a new vendor.
Who should attend Agentic AI?
Operations teams, leadership groups, finance, product and IT professionals who want to move from AI experimentation to governed, reliable agent workflows, without losing human review or source quality.
How long is the workshop and where is it delivered?
The standard duration is 4 hours. Delivery is available on-site, hybrid, or online across France, including Paris, Lyon, Marseille, Bordeaux, Toulouse.
Can the workshop be customised for our industry and data rules?
Yes. Before delivery we align the examples, approved tools, sensitive-data boundaries, terminology, and desired outputs with your organisation.
What does the team leave with?
Expected takeaways include Agent Design Canvas, a reusable structure for every agent brief, MCP explained in plain business language, A governed agent brief with source rules and refusal logic, Human review checkpoints and audit patterns, plus the agreed exercise outputs and practical next-step recommendations.
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Ready to book this workshop?
Tell us about your team, location, and goals. We will send a tailored quote and help you plan the session.
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Markdown for LLMs and citations, PDF to share internally.