CetoSpace AI Academy · Corporate training
From AI Tools to AI Agents: Practical AI for Pharma
A hands-on, two-day training programme that helps pharmaceutical teams understand where AI can add value, explore the right tools, and build an AI agent connected to an automated workflow for organising a Medical Affairs advisory board.
- Two-day, instructor-led programme
- Designed for pharmaceutical professionals
- Practical workshops with a real-world use case
Turn AI Potential into Practical Capability
AI is creating new opportunities across the pharmaceutical value chain. This programme combines an accessible introduction to AI with practical tool exploration, workflow design, and agent building. Participants progress from understanding AI applications across pharma to building an AI agent and connecting it to a workflow for advisory board organisation.
- Format
- Two-day corporate training programme
- Approach
- Short presentations, demonstrations, guided exercises, and hands-on workshops
- Audience
- Pharmaceutical professionals
- Delivery
- In your organisation’s own AI platform, such as Claude or Microsoft Copilot
- Outcome
- A practical understanding of AI tools, workflows, and agents, plus a worked example of an AI-enabled advisory board process
Built for the Pharmaceutical Industry
No assumption of advanced AI or coding expertise is required. The same examples and exercises are used for every group, and they run in the AI tools your organisation has approved.
What Participants Will Learn
Identify high-value AI use cases
Recognise practical opportunities across pharmaceutical functions.
Navigate the AI toolkit
Understand general-purpose assistants and specialist AI tools, and when each may be useful.
Design AI workflows
Break a business process into clear steps, inputs, decisions, and outputs.
Understand AI agents
Learn how agents use instructions, knowledge, tools, and defined boundaries.
Build your own AI agent
Configure an agent with relevant reference materials and instructions.
Connect an agent to automation
Understand how an agent can support a structured advisory board workflow with appropriate human oversight.
Two-Day Agenda
Day 1
Understand the tools, identify opportunities, and learn the fundamentals of AI workflows and agents.
Day 1 learning outcomes
- Understand how AI may support different pharmaceutical functions.
- Explore general-purpose and specialist AI tools and understand when to use them.
- Distinguish between prompting, AI workflows, and AI agents.
- Map a simple pharmaceutical business process into an AI-assisted workflow.
- 1 h 30 min
AI for the Pharmaceutical Industry
- Coffee Break15 min
- 1 h
The AI Toolkit: Tools, Capabilities & Use Cases
- Lunch Break1 h
- 30 min
Introduction to AI Workflows
- 15 min
Hands-on workshop
Workflow Mini-Workshop
- 30 min
Introduction to AI Agents
- 30 min
Recap, Key Takeaways & Q&A
Day 2
Move from theory to practice by building your own AI agent and connecting it to an automated advisory board workflow.
Final outcome
- A workshop prototype demonstrating how a Medical Affairs AI agent and an automated workflow can work together to support advisory board organisation.
- 30 min
Introduction to AI Agent Architecture & Setup
- Coffee Break15 min
- 2 h
Hands-on workshop
Workshop Part 1: Build Your Own AI Agent
Participants create a domain-specific AI agent with relevant instructions and a knowledge base, using suitable reference materials, templates, and SOPs. They configure and test the agent so it can support advisory board planning, answer process questions, and help draft items such as objectives, discussion questions, and agendas.
- Lunch Break1 h
- 2 h
Hands-on workshop
Workshop Part 2: Organise an AI-Powered Advisory Board
Participants connect the agent to an automated workflow that supports the advisory board process. Depending on the selected tools and workshop scope, this may include collecting an initial request, passing structured information to the agent, preparing draft planning materials, creating or updating task records, and tracking deliverables.
- Coffee Break15 min
- 30 min
Final Demonstrations, Recap & Q&A
Practical Innovation, with Appropriate Oversight
AI can support pharmaceutical teams, but outputs require appropriate verification and governance. The workshop emphasises the importance of approved source materials, data protection, output checking, and human oversight.
- Approved source materials
- Data protection
- Output checking
- Human oversight
One Programme. Delivered in Your AI Tools.
The programme runs in the AI tools your company already uses, so participants learn in the environment they will use afterwards.
The same for every organisation
- The two-day agenda and every session
- The examples and exercises
- The advisory board use case
Adapted to your organisation
- The AI platform you work in, such as Claude or Microsoft Copilot
- The automation tools used for the workflow, within your approved technology environment
Interested in this programme for your team?
Tell us which AI tools your organisation uses, and we’ll discuss how the two days would run.
Bring Practical AI Skills to Your Pharma Team
Tell us about your team, your priorities, and the AI tools your organisation uses. We can discuss how the programme would run for you.
- Mobile
- +30 694 612 0674
- Founder
- Anastasia Patsiarika