AI & Data - AI for Executives and Senior Leaders
Three days to understand generative AI, select high-value applications, and lead responsible adoption. Every section produces a practical tool, decision, or deliverable that can be used immediately.
Detailed programme
Understand AI and its strategic implications
- Distinguish predictive AI, generative AI, assistants, and agents so each concept is used appropriately
- Understand how models work at a practical level, where their limits lie, and why errors occur
- Identify potential effects on roles, processes, decisions, and business models
Compare assistants and make outputs dependable
- Assess ChatGPT, Claude, Copilot, Gemini, and Perplexity with one scorecard grounded in real needs
- Choose between an AI assistant, web search, and a business tool according to task and risk
- Detect hallucinations, verify sources, and document the human controls each workflow requires
Comparative workshop
- Run one executive scenario through several assistants and justify the most appropriate choice
Structure reusable instructions and resources
- Build instructions with an objective, context, data, constraints, output format, and quality criteria
- Improve responses through an iterative write, verify, and refine loop
- Organise a library of prompts, templates, and instructions aligned with each participant’s responsibilities
Design use cases for leadership functions
- Produce summaries, analyses, scenarios, decision briefs, and communication materials
- Identify relevant applications across finance, operations, human resources, sales, and marketing
- Define expected value, required data, risks, and success indicators for each use case
Business workshop
- Turn a real responsibility into an assisted workflow that can be measured and controlled
Understand AI agents and agent harnesses
- Distinguish a one-off interaction, deterministic automation, and an agent that can use tools
- Explore the components of an agent harness: model, instructions, context, memory, tools, orchestration, guardrails, and observability
- Set autonomy levels, checkpoints, and human approvals appropriate to a business process
Architecture workshop
- Map a simple business agent, including its data, tools, decisions, approvals, and stopping conditions
Security, governance, and responsible adoption
- Classify data and apply rules for privacy, anonymisation, and retention
- Define responsibilities, access rights, approvals, audit trails, and escalation procedures
- Draft an initial acceptable-use policy and an adoption plan for teams
Prioritise the AI initiative portfolio
- Assess opportunities by value, feasibility, risk, data quality, and change-management effort
- Choose whether to experiment, industrialise, buy, integrate, or stop an initiative
- Define owners, indicators, and criteria for scaling successful use cases
Build the roadmap and validate learning
- Structure a 30, 60, and 90-day plan connecting use cases, governance, skills, and outcome measurement
- Present one priority use case with its agent harness, guardrails, and human-approval model
- Confirm organisational decisions, responsibilities, and next steps
Tell us about your project
Our offices
- Exceev Consulting
61 Rue de Lyon
75012, Paris, France - Exceev Technology
332 Bd Brahim Roudani
20330, Casablanca, Morocco