AI HR agent — people ops without the ticket queue

People ops in a growing company is a hundred small workflows wearing a trench coat. Onboarding alone spans six tools; "quick" policy questions interrupt someone's whole afternoon; review cycles slip because chasing managers is nobody's favorite job; and every missed step lands on a real person's first day, paycheck, or leave request. It's exactly the shape of work an AI agent does well — checklist-driven, cross-tool, deadline-bound — in exactly the domain where mistakes are personal, which is why governance can't be an afterthought.

What Arlo runs for people ops

• Onboarding, end to end — accounts requested, equipment ordered, intro meetings booked, first-week schedule sent, buddy assigned. One checklist, executed across your tools, with progress visible in your channel and nothing silently skipped.
• Policy questions, answered from your docs — "how does parental leave work?" gets an instant answer sourced from your actual handbook — not the model's general knowledge — with a link to the section. HR stops being a search engine.
• Leave and approvals routing — requests captured where people ask (Slack, text), routed to the right approver, recorded in the system, and reflected on calendars.
• Review cycles that finish on time — Arlo chases every manager with what's missing and when it's due, escalating politely as deadlines approach. The cycle ends without the spreadsheet of shame.
• Offboarding without loose ends — access revoked, equipment recovered, exit interview booked, records closed — the checklist nobody wants to run manually and nobody can afford to miss.
• Records that agree with each other — the HRIS, the org chart, and the payroll sheet stop drifting, because updates happen as a side effect of every workflow.

Sensitive by default, and built for it

HR data is the most sensitive thing in the company that isn't code-signing keys. Arlo's model fits: access is scoped (the agent touches only the systems and fields you grant), consequential actions are approval-gated — anything touching compensation, access, or an individual's status waits on a human — and every action lands in an audit trail, which HR of all functions will appreciate the day a question gets asked. Judgment calls — the sensitive conversation, the accommodation decision, anything involving a person's circumstances — route to humans, always. The agent runs process, not people.

Frequently asked questions

What does an AI HR agent do? It executes people-ops workflows: onboarding/offboarding checklists, policy Q&A from your own documents, leave routing, review-cycle chasing, and record consistency — with sensitive actions gated to human approval.

Is it safe for confidential HR data? Arlo's access is scoped to what you grant, consequential actions wait on approval, and everything is audit-trailed. Personnel judgment stays with humans by design.

Can it answer employee questions directly? Yes — in Slack, Teams, or text, sourced from your handbook and policies with links to the source. Questions it can't ground in your docs escalate to your team instead of getting a guess.

Does it replace an HR person? It replaces the ticket-queue portion of the job. The human parts of human resources — judgment, care, hard conversations — are explicitly out of scope.

How does it handle onboarding across tools? It runs your checklist across email, calendars, HRIS, ticketing, and IT systems among 3,000+ integrations — using a secure browser session for tools with no API — and reports progress as it goes.