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Solutions/HR & People Ops

AI for HR & People Ops.

AI hiring, onboarding, and HR ops for teams that don’t have time to figure out which model.

Your HR team is buried in resumes, policy questions, reference checks, and onboarding emails. AI can do the boring 70% so your people can focus on the human 30% — culture, coaching, and the conversations that actually matter. We ship the system in a two-week AI Sprint. You keep the IP.

HR teams using AI for screening report 60–80% time savings on first-pass review.

Use cases that print money

What we typically build for HR teams

  1. 01

    Resume screening that actually reads the role

    Pulls candidates from your ATS (Greenhouse, Lever, BambooHR, Workable, or a Google Sheet), scores against the JD with the criteria YOUR team writes — not a generic rubric — and surfaces the top 10 with reasoning you can defend. Bias-aware filtering built in.

  2. 02

    Reference-check drafting in minutes, not days

    After a candidate clears the loop, the agent drafts personalized reference questions, sends them via email, follows up, and summarizes responses into a recruiter-ready brief. You read 90 seconds, not 90 minutes.

  3. 03

    Internal policy chatbot trained on YOUR handbook

    "How many sick days do I have?" "What’s our parental leave policy?" "Can I expense a coworking day?" Answers from your actual docs, with citations. Sits in Slack or Teams. Routes the genuinely complex stuff to a human.

  4. 04

    Onboarding workflows that pre-fill themselves

    New hire signs the offer → system creates accounts, schedules week-1 meetings, sends the gear order, drafts the welcome announcement, and pings their manager with a personalized 30/60/90 template based on the role.

  5. 05

    Performance review summarization

    Pull 360 feedback from forms, emails, and Slack threads. The agent synthesizes it into the structured format your performance template expects — ready for manager review and edit.

Plays nice with

Don't see your stack? Most tools have an API — we'll integrate it.

How an AI Sprint works

  1. Day 1 — 60-min scoping call. Pick the workflow. Confirm we can ship in two weeks. If we can't, you don't pay.
  2. Days 2–4 — Build the core. Models, prompts, integrations, the whole thing.
  3. Day 5 — Demo. You see the system working end-to-end on real data.
  4. Days 6–9 — Plug into your stack. Iterate on the demo feedback. QA with a real person from your team.
  5. Day 10 — Ship + handoff doc + roadmap for what to build next. You own everything.

Ready

Tell us the workflow. Working in two weeks.

One sentence is enough to start the conversation. We reply within one business day with a scoping link.

We reply within one business day. No sales sequences, no drip emails — just a person.

Other industries we serve