Artificial Intelligence in Consulting & Client Work is a structured track of 15 lessons that build a complete, interview-ready understanding of the topic. Work through them in order, then use the quiz and flashcards in each lesson to revise.
What this course covers
- How AI Has Changed Consulting: What Is Already Different - The concrete changes visible in consulting work today, separated from hype.
- The AI Impact Map: Which Consulting Tasks Change and by How Much - Every consulting task scored on automation, augmentation or no change.
- Large Language Models Explained for Client Conversations - Enough of the mechanism to advise credibly and to spot a vendor overclaim.
- Retrieval, Embeddings & Grounding AI in Client Data - How AI is connected to a client's own documents, and why that changes accuracy.
- Agentic AI: Multi-Step Work and Where It Breaks - What agents can complete unattended, and the checkpoints that must stay human.
- Using AI in Research, Synthesis & Slide Drafting - A working delivery workflow, with the exact prompts and the review step.
- Prompting Patterns That Produce Usable Consulting Output - The prompt structures that work for analysis, critique and drafting.
- Verifying AI Output Before It Reaches a Client - A verification checklist for numbers, sources and logic, applied every time.
- Client Confidentiality, Data Rules & AI Tool Governance - What may never be pasted into a tool, and how firms govern AI use.
- The AI Readiness Assessment Framework for Clients - A structured readiness diagnostic across data, technology, talent and governance.
- Building an AI Business Case and Measuring Value - Costing an AI initiative and defining a benefit that finance will accept.
- AI Governance, Risk & Regulation Advisory Work - The governance and regulatory advisory market, and what clients are asking for.
- How AI Is Changing Consulting Pricing and the Pyramid - The move from billable hours toward outcomes, and its effect on junior hiring.
- Staying Employable: The Consultant's AI Skill Set - The capabilities worth building now, in a realistic order.
- Case: Advising a Client on Where to Deploy AI First - Use cases scored on value and feasibility, ending in a sequenced recommendation.