AI for Employee Management: SOPs, Onboarding, and KPI Systems

Managing people is the hardest part of running a business. AI doesn't fix people — but it removes the paperwork friction around them.

The employee problem AI actually solves

The problems AI can solve:

• SOPs never getting written
• Onboarding taking 3 weeks and being different every time
• KPI reports being late, incomplete, or wrong
• Review prep taking 4 hours per person

The problems AI can't solve: culture, conflict, motivation, judgment. Don't try.

AI-written SOPs (the recording → doc pipeline)

The workflow:

1. Record a Loom of yourself doing the task.
2. Auto-transcribe (Loom does this now).
3. Paste transcript into Claude with prompt: "Turn this into a clean SOP with steps, checkpoints, and common mistakes."
4. Edit for 10 minutes.
5. Ship.

Every task in your business, documented in one afternoon.

AI-powered onboarding (context doc + Q&A bot)

Upload every SOP, your context doc, and your handbook into a Claude Project. Give every new hire access. On day one they can ask Claude anything about the business — 24/7.

AI-driven KPI reporting (Airtable + Sheets + Claude)

Weekly ritual:

• Sheets pulls the raw data.
• Claude reads the sheet and writes a 1-page summary: what moved, what didn't, what to try next week.
• I read the summary in 5 minutes instead of building it for 90 minutes.

AI review + feedback prep

Before every 1:1, I paste last month's Slack, tasks, and metrics for that person into Claude and ask for a candid summary. It cuts my prep time from 30 minutes to 5, and I show up with real feedback, not vibes.

Guardrails: what AI should NEVER touch in HR

• Firing conversations
• Comp decisions
• Written warnings
• Anything involving legal risk
• Anything with personal identity or health data

Kyle's Note: AI is your operator's assistant, not your HR department. Use it to gather. Never to decide.