Consulting AI Tools and Workflow Setup
Build an effective consulting AI toolkit and establish the workflow habits that make AI consistently useful across different engagement types.
In practice: Desk research: 3 days → 4–8 hours
Step 1 of 4
Read
The Consulting AI Stack
Consultants work across research, analysis, writing, and presentation. A well-chosen set of three to four tools covers all of these without creating tool-switching overhead.
Core Tools for Consulting Work
General-purpose AI (Essential): Claude or ChatGPT for: secondary research synthesis, hypothesis generation, framework application, memo and proposal drafting, slide content writing, and analysis structuring.
Web-enabled AI: Claude with web search or Perplexity for: current market data, recent M&A activity, current competitor positioning, regulatory changes. Use when you need information more current than a general AI's training data.
Document-specific AI: Tools like NotebookLM (Google) or Claude's document upload for: reading and synthesising long primary documents (client reports, industry studies, regulatory filings) without manually copying text.
Slide AI: Some teams use Gamma or Beautiful.ai for AI-assisted slide creation. Evaluate against your firm's preferred tools — some slide tools integrate AI into existing PowerPoint workflows.
Client Data Protocols
The most important setup task: understand what client data can and cannot be entered into AI tools. This is not optional — it is a professional obligation.
Most consulting firms have policies on:
- Which AI tools are approved for client engagement work
- Whether client-identifying information can be entered into AI tools
- How to anonymise before using unapproved tools
If your firm's policy is unclear, ask. And when in doubt, anonymise before pasting.
The Daily AI Workflow
Build AI into the start of every major production task:
- Before writing a memo: "Give me five potential structures for a memo on [topic]"
- Before synthesising research: Paste materials → "Identify the 5 key themes"
- Before client prep: "What questions is the client most likely to ask about [recommendation]?"
Consistency matters more than tool sophistication. One tool used systematically produces more value than five tools used occasionally.
The prompt
Claude's response
Quick check
Your firm has no formal AI policy yet. You have client financial data you want to synthesise using a public AI tool. What is the right approach?
Key Takeaways
- 1A three to four tool stack (general AI + web-enabled + document AI) covers most consulting needs
- 2Client data protocols are a professional obligation — understand firm policy before using any AI tool
- 3Anonymise client information before entering into unapproved AI tools
- 4Consistency of workflow use produces more value than tool sophistication
- 5Web-enabled AI for current market data; document AI for long primary source analysis
Your challenge this week
Apply what you learned in a real task
Audit your current AI setup: identify which tools you have, check your firm's AI policy (or ask IT), and establish one AI-first workflow habit for the next five working days.
Before you practise
What is the most sensitive type of client information that passes through your hands on a typical engagement? How would you handle it differently if you had a clear firm policy versus the current situation?
Next step
Put it into practice
You've read the lesson — now apply it in a guided hands-on exercise. It takes about 5 minutes.