Use case · Consultants

Eyrie for consultants.

For consultants juggling 6 clients, advisors who reuse frameworks across decades of engagements, and independent operators who can't afford McKinsey's knowledge-management infrastructure. Build a personal IP library that gets smarter every project.

The consultant's problem: repeat work, lost frameworks.

You built a great pricing framework for Client A in 2023. You partially reinvent it for Client D in 2025 because you can't find the original. Multiply by 6 clients per year × every framework you've ever developed = thousands of hours lost to reinventing your own wheels.

The McKinsey solution is a $5 million knowledge-management platform with a 30-person team. The solo consultant's solution is a folder of Markdown files in a tool that lets AI find anything in it.

The Eyrie consultant workflow.

1. One folder per client.

~/Consulting/ClientA/, ~/Consulting/ClientB/, and so on. Each contains:

• Engagement file — scope, sponsor, deliverables, dates.
• Meeting notes — one file per meeting, named by date.
• Deliverable drafts — Markdown drafts of memos, frameworks, recommendations.
• Decisions / risks file — running log of what you decided and why.

2. One ~/Consulting/Library/ folder for personal IP.

Frameworks, templates, anonymized case studies, reading notes, mental models you keep referring back to. Smart Categories tag them as "reference." Semantic search means "what was that framework I built for org design last year?" returns the actual document.

3. AI as your knowledge-management staff.

Once your library has 100+ frameworks, Eyrie's chat is the closest thing a solo consultant gets to a Big-4 KM team. "What frameworks do I have on competitive positioning?" returns sourced chips. Click to open. Adapt. Bill.

4. Connect Claude Desktop for heavy synthesis.

For deliverables, point Claude Desktop at your client folder via MCP. "Draft a 3-page memo to ClientA's CFO synthesizing my last six meeting notes and the engagement scope." Sourced output, you edit, you ship. The AI did the rough-cut; you did the judgment.

Privacy: your client work, on your disk.

Consulting work is full of NDAs. Putting client meeting notes in Notion's cloud raises questions every responsible consultant should pause on. Eyrie's local-first model — your notes are .md files on your Mac, AI calls are opt-in per session — keeps the data path clear. You can show a paranoid client exactly where their information lives.

The pricing math for solo consultants.

• Notion + Notion AI: $20/month × 36 = $720 over 3 years. Your client work lives on Notion's servers.
• Eyrie: $79 once. Your client work lives on your Mac.

At any consulting day rate above $0, Eyrie pays for itself the first time it saves you 30 minutes of re-finding a framework.