SOLUTIONS / AI FOR HR

AI for HR: agents that handle real work inside your tools

Skydive agents take on the HR work that spans multiple tools and owners, right inside the systems you already run on. From candidate outreach to onboarding to recurring reporting, they track every step, send reminders, and flag blockers before they delay day one.

Skydive agents at work in Slack

Where agents take over HR work

Specific HR functions where agents deliver immediate value, from recruiting to onboarding to compliance.

#
people
Dylan
New hire starts Monday. Can you make sure onboarding is ready?
Dapple
APP
Tracked every step across the tools and owners: paperwork sent, IT provisioning requested, first-week check-ins scheduled. One blocker flagged: laptop shipping is behind, I nudged IT with context.
Dylan
Perfect, stay on the laptop and remind me if it slips.
#
people
Dylan
Someone's asking about our parental leave policy. Can you handle it?
July
APP
Pulled the policy context from your HRIS and Slack, drafted a reply with the right tone, and answered directly. Flagged one edge case to you with all the background attached in case you want to weigh in.
Dylan
Send it, and yes I'll take the edge case.
INTEGRATIONS

Works inside your everyday tools.

Each agent has its own computer with a browser, so it logs into your existing tools the way a human operator would, navigating across systems no one has wired an integration for.

and more

Built from a description, not a workflow.

You don't get another dashboard. You describe the outcome you need and Skydive builds the HR agent around it.

Productive on day one with HR-ready templates

Templates for candidate outreach, onboarding coordination, employee support triage, and recurring reporting are ready to use. Customize them or start from scratch in minutes.

Agents run on a schedule so work happens automatically

Headcount reports, turnover summaries, and time-to-hire metrics get pulled from your HRIS and formatted for leadership on a schedule, so the data is always ready without anyone compiling it by hand.

Built for teams, not just individuals

Anyone on the People team can create agents, and permissions control who sees what, so sensitive workflows stay private while shared agents spread across the team.

We run on Skydive too.

We don't just build Skydive, we run our company on it. Our team puts agents to work every day (they even helped build this page).

"Skydive truly transforms your entire company by automating all of the tedious tasks that consume so much of your day"

Marcus Lowe, Co-Founder
FAQ

Frequently asked questions

How is Skydive different from workflow builders like Zapier or Make?

Workflow builders make you the engineer. You decide the how and construct every step. Skydive builds the agent from your description of the outcome. No canvas to construct, no logic to wire, no prompt engineering. Pre-built templates are productive on day one.

How is Skydive different from single-agent tools like ChatGPT or Claude?

Single-agent tools give you one assistant in a chat that closes when the tab closes. Skydive ships a team. Work persists, hands off between agents, and keeps running while you sleep. Agents have their own identities, scopes, and histories, and they collaborate automatically.

How long does it take to get started?

Sign up, describe the outcome you need, connect the tools, and start delegating. Most operators have their first agent running in under 10 minutes. Pre-built templates are ready to use.

Do I need engineering resources to set up Skydive?

No. Skydive is built for operators, not engineers. Each agent has its own computer with a browser, so it logs into your existing tools the way a human operator would, and no API integrations are required.

Can I share agents across my team?

Yes. Anyone on the team can create agents. Permissions control view, use, or edit on a per-agent basis. Useful agents spread the way useful things inside companies always spread.

What happens if an agent makes a mistake?

Agents remember context and learn from corrections. The judgment you build into an agent persists, so it gets better over time. You can review agent output before it goes live, or let the agent handle routine work automatically.