The same questions are answered repeatedly.
Build your own AI agent with Copilot Studio and Power Automate
Move from isolated prompts to controlled agent prototypes. Build a Retrieval Agent, a Task Agent and a bounded trigger-driven agent while keeping permissions, testing, error handling, logging, escalation and human approval explicit.

From approved knowledge to a bounded action under human oversight
Agents coordinate instructions, knowledge, tools and triggers. They do not become error-free digital employees, gain new privileges, or bypass the organisation’s approval, security and governance processes.
What to know before choosing this workshop
An advanced hands-on training to prototype Retrieval, Task and bounded trigger-driven agents with Agent Builder, Microsoft Copilot Studio and Power Automate.
- For
- HR, finance, IT, operations or process teams want to explore bounded agent use cases. · Participants already understand the Microsoft 365 Copilot basics.
- Format
- Approximately seven hours, adapted to your team
- Languages
- English, French or Dutch
- Main tools
- Agent Builder, Microsoft Copilot Studio, Power Automate, Microsoft 365 Copilot Chat, SharePoint, Teams
- What participants will be able to do
- Understand clearly what an agent is and is not. · Connect a Retrieval Agent to approved knowledge sources.
- Access
- Features and licences depend on your Microsoft 365 environment
- Human review
- Participants verify outputs; accountable decisions remain with people
Sources and product notes
Primary sources supporting product, privacy and governance statements on this page.
- Microsoft Copilot Studio overview ↗Microsoft Learn · 2026-07-22
- Official Power Automate documentation ↗Microsoft Learn · 2026-07-22
- Security for Microsoft 365 Copilot ↗Microsoft Learn · 2026-07-22
Agent ideas often stop at a demo while repetitive work continues.
The challenge is not producing another clever answer. It is turning a bounded business need into a testable agent design with approved knowledge, controlled actions and a reliable human fallback.
Notifications, reminders and approvals still depend on manual follow-up.
Information is spread across SharePoint, OneDrive, Excel, Teams and Outlook.
Processes depend on copying, pasting and checking several tools.
AI is used for isolated text tasks rather than controlled end-to-end support.
Teams lose time to repetitive microtasks and status updates.
Agent experiments lack ownership, access checks or a production path.
Failures, duplicate actions and escalation routes are not designed in advance.
Build three controlled training prototypes and a foundation for further implementation.
The day develops practical prototypes and skills. Production use can require additional licensing, environment configuration, security review, testing, governance, monitoring and process-owner approval.
Retrieval, Task and bounded trigger-driven agents require increasing control.
These are training categories used to compare complexity and supervision. Microsoft terminology, capabilities and availability must be rechecked at publication and delivery time.
Retrieval Agent
Task Agent
Bounded trigger-driven agent
Practical capabilities for building and governing training prototypes.
The day does not promise production certification or independent management of enterprise agents. What each participant completes depends on time, access and the confirmed environment.
From foundation recap to three controlled agent prototypes.
Security, access, testing, monitoring and human oversight are part of the build.
The training produces prototypes and practical skills. Production use requires the organisation’s own approval, risk, security, privacy and operational processes.
This page does not provide legal, security, privacy or compliance advice. Production approval and final accountability remain with authorised organisational owners.
For experienced Microsoft 365 users who want to prototype agents in a controlled way.
Suitability depends on prior knowledge, access rights, environment readiness and the organisation’s ability to provide safe test data and governance support.
Suitable when
HR, finance, IT, operations or process teams want to explore bounded agent use cases.
Participants already understand the Microsoft 365 Copilot basics.
The organisation can confirm Copilot Studio, environment and connector access.
Fictional or explicitly approved test data is available.
The goal is a controlled prototype and a documented next-step assessment.
Less suitable when
Participants need a complete introduction to AI or Microsoft 365 Copilot.
The requirement is a traditional programming or full administrator course.
The expectation is a guaranteed production implementation or certification.
No safe test environment, access or process owner is available.
The goal is unrestricted autonomous decision-making or bypassing governance.
Arnaud Llamas Bravo
Since January 2024, I have trained more than 8,500 professionals. I am passionate about helping individuals and organisations build the skills they need to use AI effectively. My practical, hands-on approach ensures that every participant leaves with tools and ideas they can apply immediately.
I specialise in delivering trilingual training in English, French and Dutch across recruitment, human resources, education, marketing and sales. My mission is to make AI accessible, useful and transformative for teams that want to work smarter and achieve measurable results.
Through collaborations with renowned organisations including Proximus, Honda and the Flemish Government — and by creating tailored programmes for different sectors — I combine real-world experience with an in-depth understanding of AI’s potential.
Known training facts and access items that require confirmation.
- Training
- Build Your Own AI Agent with Copilot Studio & Power Automate

- Duration
- One fully hands-on advanced day of approximately seven hours with a lunch break
- Audience
- HR, finance, IT, operations, process owners and Microsoft 365 power users
- Tools
- Agent Builder, Microsoft Copilot Studio, Power Automate, Microsoft 365 Copilot Chat, SharePoint, Teams



- Recommended knowledge
- Basic Microsoft 365 Copilot knowledge and prompting experience

- Required for active participation
- Personal laptop, active Microsoft 365 Copilot access and Copilot Studio access


- Organisation confirmation
- Environment, Power Automate, connector, Teams, Outlook, SharePoint and OneDrive rights


- Training output
- Three bounded prototypes when access and time permit, plus testing and governance patterns
- Data
- Use fictional, anonymised or explicitly approved test content only
Access, prototype boundaries, security and production readiness.
Who is this advanced training for?
It is designed for HR, finance, IT, operations, process owners and Microsoft 365 power users who already understand the Copilot basics.
What prior knowledge is required?
Basic Microsoft 365 Copilot knowledge is recommended. Participants should understand prompting and be comfortable working in Microsoft 365.
Is programming knowledge required?
No programming code is required for the training cases, but configuration, permissions, testing and governance are still necessary.
Which licences and access rights are needed?
Active Microsoft 365 Copilot and Copilot Studio access are required for active participation. Exact environment, connector and Power Automate rights must be confirmed.
Is Copilot Studio access required?
Yes for the Copilot Studio exercises. Without sufficient access, a participant may only be able to follow passively or use a reduced path.
Are Power Automate or premium connector rights required?
That depends on the final environment and exercises. The organisation must confirm connector, flow, capacity and environment entitlements before delivery.
What happens when the organisation blocks a feature?
The hands-on path may need to be adjusted. The preflight identifies blocked triggers, channels, connectors or publishing rights before the training.
Will I actually build three agents?
The programme is designed around three prototypes, but completion depends on access, time, environment readiness and the participant’s pace.
Are the agents production-ready after the training?
No. They are controlled training prototypes. Production use requires additional testing, security, privacy, governance, monitoring and approval.
Can I work with my own documents or use case?
Only when the material is explicitly approved and suitable for the training environment. Confidential or sensitive material should not be uploaded without authorisation.
How is confidential information protected?
Use approved environments, least privilege, fictional or approved data, clear retention rules and organisational security and privacy controls. No absolute guarantee is implied.
Are examples used in a test environment?
The preferred approach is a dedicated test environment, sandbox, controlled training file or draft-only path. The final setup must be confirmed.
What is the difference between Agent Builder and Copilot Studio?
Agent Builder supports lightweight agents in Microsoft 365 Copilot. Copilot Studio provides broader low-code agent, tool, trigger, flow and channel capabilities, subject to licensing and configuration.
What is the difference between Retrieval, Task and Autonomous?
The training spectrum compares answering from knowledge, performing configured actions on request, and running a bounded task after a configured trigger. These labels do not imply unrestricted intelligence.
What is Model Context Protocol?
MCP is an integration protocol through which approved servers can expose tools, resources and prompts. Authentication, permissions, monitoring and risk assessment remain necessary.
Can the training be delivered in-company or adapted?
An in-company or adapted format can be discussed through the approved commercial process. Scope, access, cases and governance must be confirmed.
In which languages is the training available?
English, French and Dutch versions are included in this prototype. Final delivery languages must be confirmed.
Practical learning you can apply immediately at work.
Participants value the clarity, energy and immediate application of every WorkWithAI workshop.
Testimonial position: 1–1 of 6
Written and reviewed by Arnaud Llamas Bravo · Last reviewed 22 July 2026
