Example Curriculum:
AI/ML for Life Science & Cross-Industry Leaders

A half-day, interactive workshop for C-suite executives who need practical AI literacy, not a technical deep-dive. Jargon-free, hands-on, and built around real world concerns

8:30 – 9:00 Welcome & Scene-Setting: Introductions, ground rules, opening question to surface priorities
9:00 – 9:45 Module 1: AI Decoded:Models, Agents & Platforms explained without jargon
9:45 – 10:30 Module 2: AI in Your Industry: Life science use cases, AI data analytics pipeline & CLEAR Framework
10:30 – 10:45 ☕ Break & networking
10:45 – 11:30 Module 3: Strategy, Change & Governance: AI strategy framework, org change management, governance checklist
11:30 – 12:15 ⚡ Hands-On Demo — Live agentic workflow: you watch it, then you run it
12:15 – 12:45 Module 4: What's Coming Next: Agentic AI, Multimodal & RAG: the cutting edge, made practical
12:45 – 1:00 Wrap-Up & Commitments: Every leader leaves with one concrete next action
🧠
Module 1 · 45 min
AI Decoded for Leaders

The four-layer mental model that makes every vendor conversation sharper and every investment decision clearer.

ModelThe brain: training, inference, hallucinations, context windows. Claude Opus 4.6, GPT-4o, Gemini 2.0, Llama 3, DeepSeek R1
AgentThe worker: autonomous multi-step action using tools & memory. Claude Code, GitHub Copilot, Agentforce, NotebookLM
PlatformThe environment: secure org-wide deployment & governance. Azure OpenAI, AWS Bedrock, Claude.ai Enterprise, n8n
MCPThe "USB standard" for AI: plug-and-play interoperability that prevents lock-in
The latest model doesn't matter, if you are solving the wrong problem
🔬
Module 2 · 45 min
AI in Your Industry

Real use cases evaluated critically, not just absorbed. Closes with the CLEAR Framework for immediate use in any vendor meeting.

🧬 Life Sciences
  • AI-accelerated drug discovery
  • Clinical trial optimization
  • Regulatory documentation (IND applications)
  • Molecule CI & patent landscape search
  • AI-assisted ELNs & LIMS
📊 Data Analytics
  • Ingest & centralize data from any source — Excel, PPTs, PDF, Word
  • Insights using natural language: "Show me all my sales data from last week"
  • AI generated reporting, anomaly alerts & dashboards
🗺️
Module 3 · 45 min
Strategy, Change & Governance

From understanding to action. Strategy and change management take centre stage. Governance integrated as a practical checklist, not a compliance lecture.

01Problem first: find bottlenecks before reaching for AI
02Data inventory: your proprietary data is your competitive moat
03Build vs. Buy vs. Partner: decision matrix for your risk profile
04Change management: why AI initiatives fail and what success looks like
05Governance checklist: 8 items, each assigned an owner before leaving
AI adoption is not a technical problem
🚀
Module 4 · 30 min
What's Coming Next

The cutting edge made practical. Participants leave energized about where AI is heading and what it means for their organization in the next 12–24 months.

⚡
Agentic AI & Autonomous Workflows
From assistants that answer to agents that act. Multi-agent systems are reshaping entire operating models, not just saving minutes.
👁️
Multimodal AI: Seeing, Hearing & Speaking
Every workflow requiring a human to look at something, a document, image, chart, or video feed, is now a candidate for AI augmentation.
🧩
RAG & Proprietary Data Advantage
How retrieval-augmented generation turns a generic AI model into an expert on your organization with citations, auditability, and no retraining required.
The landscape is changing weekly, so flexibility and adaptability is key
⚡
Hands-On Experience · 45 min
Live Agentic Workflow: You Run It
Experience A
The Competitive Intelligence Machine

A live n8n workflow takes a company name from a participant, searches the web, pulls recent news and filings, runs it through Claude, and delivers a structured competitive brief to their inbox in under 3 minutes. Every leader in the room has paid consultants to do exactly this.

n8n Claude API Web Search Live Demo
Experience B
The Regulatory Document Assistant

Upload an anonymized SOP, safety data sheet, or report. A live workflow reads it, identifies compliance gaps, generates a plain-English risk summary, and drafts a memo in under 90 seconds. Also a live governance lesson: participants see exactly what data goes to the AI and why that matters.

Claude n8n / Cowork Document AI Interactive
Takeaway Framework

The CLEAR Framework: Is This AI Initiative Worth It?

Five dimensions every leader uses immediately in vendor meetings, board discussions, and internal investment decisions. Two or more red flags means redesign or deprioritize, regardless of how good the demo looks.

C

Complexity Match

Is AI actually the right tool, or would a simpler solution solve this?

⚠ Vendor can't explain why AI beats a simpler approach
L

Leverage

How many decisions, how often, affecting how many dollars or people?

⚠ Low-volume decisions: AI won't pay back
E

Evidence of Performance

Tested on whose data? What are the accuracy and failure mode metrics?

⚠ Demo data looks nothing like your operations
A

Access to Data

Do you have the data required? Is it clean, labeled, and legally yours?

⚠ Requires data you don't have or can't share
R

Risk & Reversibility

What happens when the model is wrong? Who is accountable?

⚠ High-stakes decisions with no human in the loop