People ops AI automation use cases
For: Startups with 15 or more employees
Today
Founders and HR answer the same benefits and leave questions in DMs.
Automated
Employee asks in Slack
Slack app
Assistant answers from the handbook with a link to the source
LLM with retrieval
PTO balance looked up
HRIS API
Sensitive topics routed to a human
Slack
- Can save roughly 2–4 hrs/week for HR
- Instant, consistent answers
- Private questions handled properly
Fits: AI Policy and Governance
Get this builtFor: Managers at growing teams
Today
Managers dig through months of notes and goals the night before reviews.
Automated
Review cycle starts
Lattice or Notion
Gather goals, 1:1 notes, shipped work and peer feedback
Jira or Linear, Docs
AI summarizes evidence by competency, without writing ratings
LLM
Manager writes the review
Lattice
- Estimated 1–2 hrs saved per review
- Fairer, evidence-based reviews
- Less recency bias
Fits: AI Policy and Governance
Get this builtFor: People teams and founders
Today
Open-text answers are skimmed, and themes are guessed.
Automated
Quarterly pulse survey
Google Forms or Culture Amp
AI groups comments into themes with sentiment
LLM
Anonymized summary by team
Sheets, Looker Studio
Leadership action plan draft
Google Docs
- Can save roughly 4–6 hrs per survey
- Clear themes to act on
- Anonymity protected
Fits: AI Automation and Integration
Get this built
How much time could one automation give back?
Estimated time back
32 hrs/month
about $1,461 per month in team time
Estimate only. An automation can often take on an estimated 30–70% of a repetitive task. Your result depends on your volumes, tools and data, and we'll check it with you in scoping.
Founding-client offer
Pick one workflow. We'll build it with you.
Tell us the task that eats your week. We'll scope it, connect it to the tools you already use, and hand it over with a how-to guide and 30 days of support.
Claim a founding-client spot3 spots this quarter at reduced rates. We reply within 2 business days.