Industry starting points
AI Training for Consulting
Explore AI workflows for research, analysis, proposals, and client communication.
Practical starting points
Choose one task and practice with sample or approved material. Review the output before using it in your work.
1. Market & Competitive Research
Build a research outline, organize source material, and compare themes. Check citations before using the result.
2. Client Data Analysis & Visualization
Ask questions of a sample dataset and draft charts. Validate calculations and the interpretation of the data.
3. Slide Deck & Report Creation
Turn an approved outline into a presentation or report draft, then edit it for the client and audience.
4. Strategic Framework Development
Draft a framework for a client problem and test its assumptions against the evidence you have.
5. Financial Modeling & Forecasting
Document model assumptions and explore scenarios. Check formulas and inputs in your established financial model.
6. Customer & Market Segmentation
Suggest ways to group an approved dataset. Review whether the groups are meaningful and appropriate for the project.
7. Process Mapping & Optimization
Map a process from interview notes and identify questions to investigate before proposing a change.
8. Proposal & Scope-of-Work Generation
Draft a proposal or scope of work from an agreed brief. Review deliverables, exclusions, and commitments.
9. Interview Analysis & Insight Synthesis
Group anonymized interview notes into themes, preserving links to the evidence behind each observation.
10. Change Management & Communication Plans
Draft a communication plan with audiences, questions, and next steps. Have the project team review it.
Bring your team’s task
These are learning examples, not a promised result or a fixed course syllabus. The workshop scope, tools, format, and pricing are agreed for your team.