Without an agent
With an agent
The deal you actually made isn’t in the HRIS.
The standard hire flows through. The extra week of leave sits in a packet nobody audits.
Your team didn't join HR to chase signatures and re-key the same start date into five systems. Give the admin to software that never mistypes it, and the people work gets the hours it deserves.
Offers, onboarding, leave, comp changes, offboarding. The record holds the tidy version. The real terms live outside it, the policy answer comes from memory, and no two systems agree on headcount.
Without an agent
With an agent
The standard hire flows through. The extra week of leave sits in a packet nobody audits.
So two people with the same request get two different answers, months apart.
With AI in the mix
The policy gets written down once, and every request is answered against it.
140 requests answeredThe HRIS, payroll and the org chart disagree, and finance needs one number today.
With AI in the mix
Reconciled every morning, so one number holds across all three.
…and many more use cases
What we design and ship inside your operation, in whatever mix the work calls for. For many of these jobs, an agent is already built.
Any document you handle, turned into usable data.
Ready-made agentCandidate screening→Multi-step work that runs start to finish.
Ready-made agentNew hire onboarding→Faster calls, with the evidence already attached.
Ready-made agentLeave requests→Oversight that builds its own paper trail.
Ready-made agentCompliance paperwork→Reporting that renders from the source, not by hand.
Ready-made agentHeadcount reconciliation→Employee questions handled in plain language.
Ready-made agentPolicy and leave questions→Each one starts from work we’ve already built for clients, then gets fitted to your systems and your rules, and it’s yours to keep. Live in 3 to 6 weeks, at a fixed price.
Headcount doubled in two years while People Ops ran on an ATS, a payroll provider, a benefits broker, and a half-dozen spreadsheets in between. We built the operating layer underneath: one employee record, every system in sync, every change journaled.
Read the case studyYou already have privacy obligations, access rules, and records your auditors can ask for. We build inside them. That shapes the work from day one, instead of becoming a checklist at the end.
Your approval chains and record-keeping rules go in from day one. If your policy says a person signs off, the system enforces it.
Our team has worked with personal data, SOC 2 requirements, and records a regulator can ask for. Yours won't be the first security review we've answered.
The code, the accounts, and the documentation are yours. Nothing to hand back at the end, and the architecture is your IP to use forever.
Some teams arrive with one process that's breaking. Others want to rebuild how the department runs. We meet you where you are.
A proven agent for one job, like new hire onboarding or policy and leave questions, set up on your systems and your rules and live in 3 to 6 weeks. It runs in your own accounts, and your people approve what matters.
See the agents →A few weeks to map how the work really moves, audit your stack, your data, and your controls, and find where AI pays back. Delivered with a working prototype on your own files, before anyone commits to a build.
Learn about the Jumpstart →Your prototypes built into production software by a lean team that stays through launch, rollout, and your first audit on the new system. The code is yours, in your own accounts.
Learn about the Studio →