What you will take away from the session
- Identify the use cases where an AI agent can create real value quickly.
- Choose the right workflow structure between prompt, knowledge base, and action.
- Understand operational limits before launching a more ambitious project.
- Leave with a reusable canvas to frame a first internal agent.
What you leave with
- A simple framework to prioritize agentic use cases.
- A checklist to frame quality, security, and human oversight.
- An example of a no-code / low-code stack adapted to a lean team.
- Concrete scenarios inspired by Moroccan contexts.
Practical information
- Audience
- Operational teams, business leads, and builders
- Registration
- Registration confirmed after sign-up
- City
- Rabat
- Language
- French
Agenda
Opening and framing
Set the frame: what an AI agent is, what it is not, and where it is truly useful.
Use case breakdown
Review several SME scenarios to see what deserves an agent, simple automation, or no project at all.
Guided design workshop
Build a mini blueprint: objective, inputs, context, actions, validation, and metrics.
Questions, prioritization, and next steps
Identify the next realistic steps based on the team maturity.
Speakers
Yassine El Idrissi
AI Product Lead
Salma Benomar
Automation Strategist
Why this event
Many teams want to “build an AI agent” without knowing whether the problem really deserves that approach. This workshop was designed to quickly clarify where an agent makes sense and where simple automation is enough.
The goal is not to sell complexity, but to help participants make the right product and operational decision from the start.
- Reduce false starts
- Avoid overly heavy architectures
- Align business need and solution
What we will work on together
We will deconstruct several concrete use cases, then use a simple grid to estimate value, feasibility, and the level of supervision required.
The right level of autonomy
Not every assistant needs to act alone. We will see how to define a realistic, safe, and useful scope of action.
- Read vs act
- Validate before execution
- Trace critical actions
The minimum viable stack
We present a pragmatic base to get started without making the project unnecessarily heavy.
- LLM
- Business context
- Workflow
- Supervision
After the workshop
You leave with a simple framework to prioritize a first test and avoid decisions driven only by hype.
If needed, the AI HUB team can then support an internal workshop version or a deeper scoping phase.
Frequently asked questions
Do you already need to use AI tools daily?
No. The workshop is accessible to people who are just getting started as long as they have a concrete business need to explore.
Is this a technical workshop?
Not in the development sense. We mainly work on framing, architecture logic, and operational choices.
Can two people from the same team attend?
Yes, it is even recommended if you want to leave with a shared basis for decision-making.
