LearnCyrenza

4.3

Walkthrough — Management Consultant

45 min

Meet Sarah, Strategy Consultant at a mid-sized firm

  • Works with 3-5 active clients simultaneously
  • Deliverables: slide decks, reports, strategic recommendations
  • Pain points: juggling client context, research synthesis, version control on presentations

The Before State

  • Files scattered across client folders with inconsistent naming
  • Spends 20 minutes at the start of each client session re-familiarizing herself with project context
  • Frequently copies slides from old decks, struggles to find the "right" version

Knowledge Base Setup

  • Folder structure: Clients/[ClientName]/[ProjectName]/[Deliverables|Research|Admin]
  • File naming: ClientName_ProjectName_DocType_Date
  • Context documents:
    • Client background (industry, size, key people, strategic priorities)
    • Project scope and objectives
    • Key findings log (updated weekly)
    • Slide library by theme (reusable content)

Tool Integration Choices

  • Google Drive native AI for finding old slides and documents
  • Standalone AI for research synthesis and report drafting
  • Presentation software with no AI (prefers manual control)
  • Email AI for client communication drafts

Three Core Workflows

Workflow 1: Starting a New Project

  1. Create folder structure for new client/project
  2. Write client context document (30 min investment)
  3. Use AI to research industry, competitors, best practices
  4. Synthesize research into "background brief" with AI assistance
  5. Create initial slide deck outline with AI
  6. Review and refine based on client specifics

Workflow 2: Weekly Client Update Email

  1. Review project status in task management tool
  2. Pull key accomplishments and blockers
  3. Prompt AI: "Draft a client update email. Context: [paste context doc]. This week's work: [paste bullets]. Tone: professional, concise, forward-looking."
  4. Edit AI draft for client-specific nuances
  5. Add personal touch (reference to previous conversation, relationship-building)
  6. Send

Workflow 3: Creating a Client Deliverable

  1. Open relevant context documents and research files
  2. Use AI to draft initial content sections: "Based on [context], write a section on market trends affecting [industry]"
  3. Review AI output against source material
  4. Integrate into slide deck or report
  5. Have AI suggest visualizations or frameworks
  6. Final human review for logic, narrative flow, client fit

Quality Control Checklist

  • Does the AI output reference sources I can verify?
  • Is the strategic recommendation consistent with the client's constraints?
  • Would my client recognize their business in this analysis?
  • Are all data points current and accurate?
  • Does the tone match client expectations (formal vs. casual)?

The After State

  • Saves ~5 hours per week on research synthesis and draft creation
  • Reduced time to start new projects (context documents make AI immediately useful)
  • Fewer version control issues (better file naming)
  • Still manually builds presentations (AI doesn't understand narrative flow well enough yet)

Common Mistakes for Consultants

  • Letting AI write strategy without client-specific constraints
  • Not maintaining context documents (AI outputs become generic)
  • Over-relying on AI for competitive analysis (needs verification)
  • Using AI to draft slides (formatting chaos, better to draft content separately)