HR that AI runs, and people decide.
Hire, onboard, run, grow and govern your team from one system of record. AI agents screen in shadow mode, run structured interviews, plan onboarding, explain pay and leave and reconcile payroll. A person approves anything that touches money, employment or the law, and can take over or kill a lane with one click.
Autonomy Control Center
Budgets, compiled policies with step-up dual approval, decision escrow, shadow parity, run replay, circuit breakers and one-click kill switches.
- 1Policy verdict allowed in shadowShadow
- 2Attempted execution yes, sandboxedOK
- 3Provider outcome 12 candidates ranked, 41 evidence spansOK
- 4Proof parity 97% · 0 decisions appliedProven
An org chart drawn from positions, so a vacancy exists before a person does.
Most HR tools draw the chart from the people in it, so an empty seat is invisible until somebody is hired into it. PeopleOS models the position first. A vacancy is a real record with a level, a profile, skill criteria and an effective date, which is why a reorg can be drawn before it happens and a requisition can point at something that already exists.
- Effective-dated assignmentsEvery move names its date and its author, so the chart can be read as it was on any day.
- Identity facets, not duplicatesThe payroll provider's record and the job board's record are linked to the canonical person. Conflicts are resolved explicitly; email is contact data, never the identity key.
- Access is not the recordSuspending access never erases anyone. Restoring it needs a reason and writes a new audit event.
Six screens that replace an HR stack.
This is the actual product.
Not a concept. Every window below is the PeopleOS admin as it ships, running. Click a tab or let it play, and watch the AI shortlist candidates, run an interview, plan an onboarding, reconcile a payroll run, and report to you at every step.
AI Screening Review
Shadow-mode screening runs, evidence-bound outcomes, human corrections, evaluations and the fairness gate.
| Run | Requisition | Mode | Candidates | Evidence | Fairness gate |
|---|---|---|---|---|---|
| #418 | Senior Engineer | Shadow | 12 | 41 spans | OPEN |
| #417 | Support Lead | Shadow | 9 | 27 spans | OPEN |
| #409 | Payroll Analyst | Shadow | 31 | 96 spans | CLOSED |
Live Interviews
Watch an AI-run interview as it happens, take it over the moment you want to, and see exactly what the AI heard, never what it thought of anyone.
| Room | Candidate | State | Recording | In the room | Hand-offs |
|---|---|---|---|---|---|
| Our own room | Ada Reaudit | The AI is interviewing | Recording | AI, candidate | none |
| Approved realtime stream | Maya Cole | Not yet — just a room | Not recording | nobody recorded yet | none |
| Our own room | Tayo Femi | A person instead | Not recording | Dana O., candidate | 1 |
Autonomy Control Center
Budgets, compiled policies with step-up dual approval, decision escrow, shadow parity, run replay, circuit breakers and one-click kill switches.
| Lane | Risk / Impact | Budget / day | Mode | Action |
|---|---|---|---|---|
| screening | High | 62% | Shadow | |
| interview | High | 31% | Assist | |
| leave.explain | Low | 18% | Assist | |
| offer.release | High | 0% | Human only | never |
- 1Policy verdict allowed in shadowShadow
- 2Attempted execution yesOK
- 3Provider outcome 12 rankedOK
- 4Proof parity 97%Proven
Recruiting
Requisitions, job postings, candidate pipeline, accommodations and appeals: human-led hiring.
| Requisition | Openings | Jurisdiction | Status | Action |
|---|---|---|---|---|
| Senior Engineer Lagos or remote · hiring team: Dana O. | 2 | NG | Open | |
| Support Lead Berlin · budget context attached | 1 | DE | Submit for approval | |
| Payroll Analyst closing Friday | 1 | NG | Open |
Onboarding
Templates, dated task plans, least-privilege provisioning, probation and the 30/60/90 check-ins, with every failure surfaced, never silently fixed.
Payroll, Benefits & Expenses
Imported payroll runs reconciled against the HR record and approved compensation; four-eyes pay changes; benefit enrolments; expense claims handed to reimbursement.
| Run | Worker events | Reconciled | Exceptions | State |
|---|---|---|---|---|
| September | 42 pushed | 41 | 1 | 1 open |
| August | 41 pushed | 41 | 0 | reconciled |
The values shown are representative product data. Your workspace uses its own people, policies, jurisdictions and providers.
Two AI agents do the heaviest work in hiring.
You keep every decision.
Screening four hundred applications and running first-round interviews are the two jobs that eat a hiring team alive. PeopleOS does both, around the clock, and hands you a shortlist with the evidence attached instead of a verdict you have to trust.
Read 400 applications in the time it takes to read four.
The agent reads every application against the criteria you set for that requisition, quotes the exact line of the CV or answer behind each score, and ranks the shortlist. It works overnight, so the pile is triaged before your team logs in. What it never does is reject anybody. It runs in shadow mode: it proposes, you decide, and the count of automatic decisions on your workspace stays at zero.
- Shortlist by lunchtime, not next weekHundreds of applications triaged against job-related criteria while your team sleeps.
- Every score cites its evidenceClick any number and read the exact sentence it came from, with the agent's confidence beside it.
- Correct it and it learns, on your termsA reviewer marks what the agent got wrong with a coded reason. Those corrections train nothing until a different authorised person clears the privacy review.
- Blind to what it must be blind toProtected attributes, appearance, emotion, accent and disability inference are outside the lane by construction.
Run a first-round interview at nine on a Sunday night.
Candidates book themselves into a slot and the agent runs the structured interview you designed, asking the questions on the plan and nothing else. You watch it live, read the verbatim transcript as it happens, and take the room over with one click the moment you want to. That takeover is final: the AI does not speak again in that interview.
- No more scheduling ping-pongSlots come from your real calendar availability and the provider is reconciled both ways.
- You see exactly what it heardA verbatim transcript and a scorecard anchored to the criteria, never a judgement about the person.
- Take over at any momentOne click puts you in the room and permanently ends AI speech in that interview.
- Fair by defaultRecording, transcription and liveness are separate consents, and a text or audio-only route is always offered.
The agents do the work. Every one of them is on a leash you hold.
Each capability is a registered typed tool with a purpose, a jurisdiction, a risk class and a maximum autonomy. This is the lane card the Autonomy Control Center shows, for the lanes that matter most.
screening.rank- Risk / Impact
- High
- Mode
- Shadow
- Budget / day
- 62% used
- 30-day record
- 412 executed · 97% proven · 38 reviewed
interview.ask- Risk / Impact
- High
- Mode
- Assist
- Budget / day
- 31% used
- 30-day record
- 36 executed · 100% proven · 36 reviewed
setup.plan- Risk / Impact
- Medium
- Mode
- Recommend
- Budget / day
- 9% used
- 30-day record
- 58 executed · 100% proven · 58 reviewed
askhr.answer- Risk / Impact
- Low
- Mode
- Assist
- Budget / day
- 18% used
- 30-day record
- 1,204 executed · 99% proven · 61 reviewed
pay.explain- Risk / Impact
- Medium
- Mode
- Assist
- Budget / day
- 12% used
- 30-day record
- 318 executed · 100% proven · 20 reviewed
offer.release- Risk / Impact
- High
- Mode
- Human only
- Budget / day
- 0%
- 30-day record
- 0 executed by an agent
A candidate travels one governed track, and every stage leaves evidence behind.
Requisition, approval, posting, application, structured review, interview, decision, offer, hire. The AI ranks in shadow mode and drafts the interview plan; a person moves the card. An application that arrives by webhook is a hint until the provider is re-queried, so the board never advances on a rumour.
- Structured review before the candidate is seenQuestions, score anchors, accommodations and reviewer roles are fixed in the plan first.
- Evidence spans, not opinionsEvery AI score cites the text it relied on, with its confidence, and a reviewer can correct it with a coded reason.
- Two people release an offerSealed bands, immutable versions, provider-settled checks, and a conditional gate that escrows on any doubt.
Nine steps. Eight of them proved themselves. The ninth says so out loud.
A journey is data, not a checklist somebody ticks. Each step is owned by the employee, the manager, the company or the system, and it only counts as done when the evidence arrives: a completed envelope, a delivered laptop, an attended meeting, a learning completion. A step that fails is surfaced as a blocker on its own channel, and the chase follows whoever owns it.
- Least privilege, by constructionEquipment and access come from approved catalogue items and role templates. No model can compose an arbitrary privilege list.
- Probation is a dated record with a stateDay 12 of 90, check-in booked for day 30, visible to the person it is about.
- Say it, then confirm itThe Setup Copilot turns a sentence into named recipes and shows what it assumed. Nothing runs until you agree.
Ten jobs your HR team does by hand.
Here is PeopleOS doing each one.
Recruiting, onboarding, time and leave, payroll, performance, skills, employee relations, compliance, self-service and your existing providers. One subscription, one record per person, and a person signing off anything that matters.
Fill roles faster, with a paper trail
Requisitions, approvals, job-board posting, a self-filling pipeline and offers that need two people to release. Accommodations and appeals are first-class workflows, not email threads.
New starters productive on day one
Journeys that provision the laptop, the accounts and the training on their own, and tell you the moment something is stuck instead of quietly showing green.
Shifts, leave and timesheets that run themselves
Employees request from their phone, managers approve in one tap, and frontline teams clock in on a shared tablet. The same records feed payroll, so nothing is retyped.
Payroll that reconciles itself and flags the gap
Approved changes go to the provider you already use and come back checked. Anything that disagrees becomes a named exception with an owner, not a silent correction.
Reviews people can actually argue with
Goals link to real work, review cycles sit on a published rubric, and calibration is append-only. There is no hidden productivity score anywhere in the product.
Know what your workforce can actually do
Skills held with evidence, skills you need, and the gap between. Then the two things that close it: an internal gig and a mentor, proposed by the agent and confirmed by the person.
Sensitive cases nobody can stumble into
Grievances, investigations and whistleblower reports live behind their own wall. Not in search, not in analytics, not in any AI context. Discipline needs two people and always leaves an appeal open.
Answer the regulator without a scramble
Readiness per AI system computed from your live records, country policy packs with a named legal owner, and a document you can hand over. Where a pack is unsigned, the lane simply refuses to run.
Your team serves itself, on any device
A seatless employee portal, a branded careers site and a shared clocking kiosk are all in the price. Employees stop emailing HR to ask how much leave they have left.
Plugs into the stack you already run
Sixteen provider classes with bounded permissions, certified per account before they carry real work. Your payroll, job boards, e-signature, calendars and video stay exactly where they are.
Every profile section is dated records with a state.
A canonical person carries employment, worker type, manager, team, location, skills, documents and lifecycle state. Every change names its effective date and its author, so the record can be read as it stood on any day. Pick one.
- Role
- Not employed yet
- Worker type
- Candidate
- Manager
- —
- Team
- —
- Portal access
- None
- Identity
- 2 facets linked
What this entry did. Created the canonical person and linked the payroll and job-board identities as facets rather than merging them. Author: Priya S.
- Role
- Senior Engineer · L4 from 15 Sep
- Worker type
- Employee · full time
- Manager
- Dana O.
- Team
- Engineering
- Portal access
- Not until start date
- Documents
- Contract v1
What this entry did. Recorded the approved offer with a start date two weeks out. The employment exists on the record before the person starts. Authors: Dana O. and Priya S.
- Role
- Senior Engineer · L4
- Worker type
- Employee · full time
- Manager
- Dana O.
- Team
- Engineering
- Portal access
- Provisioned
- Documents
- Contract v1
What this entry did. Employment took effect on its own date, and portal access was provisioned separately. Suspending that access later would never erase this record. Author: Dana O.
- Role
- Senior Engineer · L5 proposed
- Worker type
- Employee · full time
- Manager
- Dana O.
- Team
- Engineering
- Portal access
- Unchanged
- Documents
- Contract v2 · draft
Dated in the future, so it is not in force. The band move exists as a record with its own effective date and is waiting on a second approver. Read today, the same person is still L4. Proposed by Dana O.
- Effective-dated assignmentsThe reporting tree and every assignment carry a date and an author, so a reorg can be drawn before it happens.
- Access is not the recordSuspending access never erases the record. Restoring it needs a reason and creates a new audit event.
- The org chart comes from positionsA vacancy can be drawn because a position exists before a person fills it.
Sealed bands, four eyes,
and a gate the AI cannot open alone.
Salary bands are sealed. Offer versions are immutable and a human approves before any send. Background checks, identity verification and right-to-work run through consent-bound connectors and only the provider's own answer changes the record. The conditional auto-offer gate escrows on any doubt.
Offers & Hiring
Sealed salary bands, immutable offer versions, human approval before any send, and the conditional auto-offer gate that escrows on any doubt.
Scheduling
Interviews, check-ins and HR appointments on real calendar events: proposed by AI or a human, self-scheduled by candidates, rescheduled and cancelled from either side.
Employee service is in the box. Not sold per agent.
One private conversation fabric: employee threads HR can start first, case conversations that inherit the case wall, direct messages between the team, announcements with read receipts, and an assistant that answers from your own published handbook with the source cited.
HR Inbox
One private conversation fabric: employee threads HR can start first, case conversations that inherit the case wall, direct messages between the team, announcements with read receipts.
Reviews anchored in evidence.
Careers drawn from positions.
Goals with evidence links, rubric-anchored review cycles, append-only calibration and a private manager coach on one side. Courses, paths, an explainable internal marketplace with employee opt-out and appeal, skills with evidence and succession on the other. Job families, levels and profiles are proposed by the agent from what you already have, approved by a second person.
Performance & Goals
Goals with evidence links, rubric-anchored review cycles, append-only calibration and a private manager coach. No hidden productivity score exists anywhere.
Learning & Talent
Courses, paths and mandatory training; an explainable internal marketplace with employee opt-out and appeal; evidence-backed succession planning.
Skills Intelligence
The workforce read as skills: what it holds with evidence, what it needs, the gaps between, and the two markets that move people: gigs and mentorship.
Job Architecture
Families, levels, profiles with skill criteria, every position mapped and the paths between levels: proposed by the agent from what you already have, approved by a second person.
Groups only. Never a person.
Pulses run themselves on a cadence and at the moments that matter, anonymous by construction. Dashboards suppress any cell below the minimum group size. Pay equity is attested and nobody is named. Benchmarks compare buckets of at least five other opted-in workspaces, and opting out withdraws everything.
Every lane has a ceiling and a daily budget. You can see both from across the room.
An agent lane is not a switch. It carries a risk class, a maximum autonomy the policy will allow, a budget that is spent as it works, and a thirty-day record of what it executed, what was proven and what a person reviewed. Offer release stands at zero on purpose: no agent may execute it, in any mode, ever.
- A reason is required to promote a lanePromotions are audited, and anything above Assist needs step-up dual approval from a second person.
- Breakers, incidents and kill switchesA breaker, an incident, a human takeover or a jurisdiction change stops a lane where it stands. The kill switch arms on the first press and fires on the second.
- Run replayEvery step in order: what was read, what the policy said, what the provider returned, and the proof.
Autonomy is a ladder with a budget, a breaker and a kill switch.
Human only, Shadow, Assist, Recommend, Approve to execute, Bounded autonomous. A lane climbs only with a written reason and, above Assist, step-up dual approval. Compiled policies, escrow, shadow parity and run replay sit beside budgets, circuit breakers and kill switches, and a human takeover ends an AI lane on the spot.
Human only
No agent may execute. Offers, discipline, compensation and anything a policy pack forbids live here.
Shadow
The AI drafts and scores in parallel; a person compares and corrects. Nothing it says is applied.
Assist and above
Low-risk steps run inside a budget. Recommend, Approve to execute and Bounded autonomous each need a reason and dual approval.
Readiness is computed. Never declared.
The dossier shows what a deployer of high-risk employment AI must be able to show, per system, computed from live records, with the action that closes each gap and a document to hand to an authority. Policy packs say which law applies where, who signed it off, when it takes effect and when it runs out, and what the product refuses to do in each country until somebody signs.
EU AI Act dossier
What a deployer of high-risk employment AI must be able to show, per system, computed from live records, with the action that closes each gap and a document to hand to an authority.
| AI system | Readiness | Open | Next action |
|---|---|---|---|
| Screening assistant | 1 | fairness release | |
| Interview agent | 2 | worker notice, log retention | |
| Pay explanation | 0 | ready |
AI Quality & Rights
Sampled decision quality, override pressure, the appeals desk with its independent reviewers, and the learning loop behind its privacy door.
A people system people can argue with.
And win.
Anyone can put a model in front of an HR file. The hard part is a system that holds up when the person it decided about asks why, and that never quietly rewards the fastest path over the fair one.
Each lane spends a daily allowance. When it runs out, the lane stops.
Computed per AI system from live records, never declared by hand.
How closely the screening agent agreed with your reviewers this month.
Money, legal and employment outcomes signed by a person, every time.
Sensitive decisions keep a human path
Money, legal and employment decisions are never executed by a model. AI can draft, explain, summarise, classify or recommend inside the configured risk and jurisdiction policy, and a permitted action is not reported as completed until execution and outcome evidence exist.
Not an assessment input, ever
Protected attributes, appearance, emotion, accent and disability inference are outside the screening and interview lanes by construction. The video connector class has no interface for emotion, attention, attractiveness, race, disability or appearance analysis.
Consent per purpose
Recording, transcription and biometric liveness each require their own purpose-specific consent, and withdrawal applies to that purpose. Candidates can always use a text accommodation path.
Explanations from the record
An explanation is generated from the sealed decision record and the policy evidence, not invented by a model. Appeals go to an independent human reviewer. Correction, access and deletion requests stay available to candidates and employees.
A callback is a hint
Background checks, job boards, e-signature, identity and payroll callbacks are notifications to re-query. The provider's status result, not the callback claim, changes the PeopleOS record. Drift is recorded as a conflict, never silently overwritten.
Corrections train nothing on their own
Reviewer corrections can become a proposed dataset, but nothing is trained until a different authorised person clears the privacy review. The learning loop sits behind its own privacy door.
Sealed stays sealed
Employee-relations material, whistleblower reports and case attachments are never exposed through the ordinary profile, search, analytics or AI context. A broadcast is never a substitute for a confidential case conversation.
Technical green is not legal green
Jurisdiction packs must name an accountable legal owner, cite actual legal sources, pass their tests and be released. Release evidence distinguishes code conformance, sandbox evidence, real provider evidence, security review, legal approval, fairness and accessibility.
Sealed cases. A vault nobody can browse.
Grievances on sealed cases, conflict-checked investigations with human-only findings, four-eyes discipline with appeal, and the whistleblower vault. Sealed material is never exposed through the ordinary profile, search, analytics or AI context.
Employees, managers, candidates, frontline teams and developers
each get their own surface.
The employee portal at /hr/your-workspace, the careers site at /careers/your-workspace, the clocking kiosk at /kiosk, the admin surfaces and the General API. All of them re-check the HR entitlement server-side.
Seatless, mobile-first, scoped to the person signed in.
- Honest cardsA failed load says so and offers a retry. An outage never looks like "you have nothing".
- Find a colleague, the org chart, and who may see whatVisibility the employer sets, a phone number hidden by default.
- Photos, documents and identity papers go through the vaultNever a public upload folder.
- Your own domainMap a host and the portal answers there, verified against the host map.
Time & Leave
Schedules, shifts and time approvals; leave types, policies, holidays and requests, with deterministic auto-approval only where a policy explicitly opts in.
Decide within permission and policy. Coach in private.
- Approvals in one queueLeave, time, shift swaps, check-ins and offers, each with the rule that applies shown beside it.
- The private manager coachEvidence-anchored review preparation, visible only to the manager who asked.
- Never the second approver of your own decisionFour eyes means a different person, every time.
Careers at Acme
Open roles, applications, self-scheduling against real availability, an accommodation route, and a disclosure of AI use before anyone applies.
Apply, schedule, ask why, appeal.
- Self-scheduling against real calendarsSlots come from the interviewers' live availability and the provider is reconciled.
- Explanation and appealAsk for the explanation of a decision, built from the sealed record, and appeal to an independent human reviewer.
- Consent you can withdrawRecording, transcription and liveness are separate consents, each for its own purpose.
Clock in, swap a shift, get the app.
- PINs and badge codesShared-device clocking with no personal login. Sign-in design belongs to the device.
- Shift swaps a manager approvesBoth people agree, then a manager decides.
- The installable employee appThe portal on a phone, for the people who never sit at a desk.
# discover the hr.* surface on your install
curl -sS https://your-opsiq.example/api/v1.php \
-H 'Authorization: Bearer YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{"action":"meta.actions"}'
# create a person safely: preview first
curl -sS https://your-opsiq.example/api/v1.php \
-H 'Authorization: Bearer YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
"action":"hr.people.create",
"display_name":"Ada Reaudit",
"primary_email":"[email protected]",
"worker_type":"employee",
"idempotency_key":"hire-2026-0042",
"dry_run":true
}'
The same door as everything else, with a dry run first.
- Scopes and permissions stackKeys carry hr.read or hr.write; the target route still enforces its own operator permission, entitlement, workspace boundary, confirmation and idempotency.
- OpenAPI and Postman from the same registryCall meta.actions on the running install; the documents are generated from what it answers.
- Callbacks in, re-query, recordInbound provider callbacks are authenticated and replay-protected. PeopleOS does not send outbound HR webhook events today.
Your providers keep their jobs. PeopleOS keeps the record.
16 connector classes with bounded capabilities and 17 signed packages on the marketplace: a sandbox kit for every class plus the production-capable Provider Gateway. DocuSign, Google and Microsoft Calendar, Zoom, Slack and Teams supply the rest.
| Class | Purpose | Highest-impact capabilities |
|---|---|---|
| Job board | Publish and maintain vacancies | post, update, close, receive application |
| Background check | Consent-bound checks | create, receive result, cancel |
| Identity verification | Optional identity and liveness proof | create session, verdict, delete subject |
| E-signature | External envelopes | send, status, void, verify completion |
| Payroll | Worker facts and reconciliation | push event, read state, exceptions |
| Benefits | Eligibility and enrolment | push eligibility, read enrolments |
| Learning | Courses and completion | catalogue, assign, completion |
| Calendar | Availability and interviews | read, create, update, cancel |
| Video | Governed interview media | room, token, retention, deletion |
| Assessment | Job-related assessments | create, invite, result, accommodation |
| Tax and right to work | Legal verification | create, status |
| Equipment and IT | Equipment and access | provision, status, revoke |
| Expense payment | Reimbursement handoff | submit, status |
| Directory | Workforce directory | read, lifecycle push, reconcile |
| Data warehouse | Aggregate export | export, status |
| Messaging | Send HR notifications | send, delivery status |
Every one of the 31 admin surfaces,
and what each one actually does.
Grouped by journey. Each card lists the capabilities that surface ships today, in the words the product itself uses.
Recruiting
- Requisitions with title, openings, justification, budget context, hiring team, location and jurisdiction
- Approval before a posting goes anywhere; approve as the only approver when policy allows it
- Job boards through certified connectors: post, update, close
- Applications arriving by callback are re-queried before a candidate moves
- Accommodations and appeals as separate governed workflows, upheld or not upheld on the record
- Talent pools
AI Screening Review
- Shadow-mode screening runs that decide nothing
- Evidence spans, confidence and human corrections with a coded reason
- Adversarial verification and versioned labels
- The fairness gate decides whether a run may influence anything
- Protected attributes, appearance, emotion, accent and disability inference are never inputs
Interview Studio
- Structured plans with job-related questions and score anchors
- Accommodations and reviewer roles set before candidate evidence is seen
- Sandboxed AI sessions with human takeover
- Transcripts and content-bound scorecards that record evidence, not impressions
Live Interviews
- Watch an AI-run interview as it happens
- Take it over the moment you want to; takeover is final for AI speech
- See exactly what the AI heard, never what it thought of anyone
- Answer in writing, audio only, a person instead, live captions
- Consent per purpose: recording, identity check, written transcript
Scheduling
- Real calendar events for interviews, check-ins and HR appointments
- Proposed by AI or a human, self-scheduled by candidates
- Booking links and working hours
- Reschedule, cancel and provider reconciliation for Google and Microsoft calendars
Offers & Hiring
- Sealed salary bands and position-in-band views
- Immutable offer versions and human approval before any send
- Background checks, identity and right-to-work settled by the provider, not the callback
- The conditional auto-offer gate that escrows on any doubt
Onboarding
- Templates and dated task plans with employee, manager, company and system-owned steps
- Progress derived from evidence, never asserted
- Least-privilege provisioning from approved catalogue items and role templates
- Probation as a dated record with a state, and the 30/60/90 check-ins
- Every failure surfaced, never silently fixed
HR Setup Copilot
- Say what you want set up
- A plan in plain language: what it understood, what it assumed
- Nothing runs until you confirm, through the same services as the manual screens
HR Knowledge Network
- Your own FAQs and curated packs of HR practice that become your published handbook
- What Ask HR may tell your employees, and nothing else
- Cited by Ask HR and the portal; pack updates keep your edits
HR Home
- People with canonical identity, employment record, worker type, manager, team, location, skills and lifecycle state
- Organisation with effective-dated assignments
- Cases, rights, documents and records on one operator surface
- Duplicate external identities linked as facets, never merged blindly
Time & Leave
- Schedules, shifts and time approvals
- Leave types, policies, holidays and requests
- Deterministic auto-approval only where a policy explicitly opts in
- Conflict rules and calendar behaviour per leave type
Frontline
- Shared-device clocking kiosks with PINs and badge codes
- Shift swaps between colleagues, approved by a manager
- The installable employee app
- Sign-in design for the device
Payroll & Expenses
- Imported payroll runs reconciled against the HR record and approved compensation
- Four-eyes pay changes
- Benefit enrolments
- Expense claims handed to reimbursement; OpsIQ never moves money
HR Inbox
- Employee threads HR can start first
- Case conversations that inherit the case wall
- Direct messages between the team and announcements with read receipts
- Legal hold, retention and deletion on the thread itself
AI Metering
- Where PeopleOS AI spend goes by feature, day and model, estimated from the usage log
- Lane budgets
- A monthly cap that tells a person, never silently
- A CSV export
Performance & Goals
- Goals with evidence links and check-ins
- Rubric-anchored review cycles
- Append-only calibration
- A private manager coach and recognition; no hidden productivity score exists
Learning & Talent
- Courses, paths and mandatory training
- An explainable internal marketplace with employee opt-out and appeal
- Evidence-backed succession planning
Skills Intelligence
- The workforce read as skills, with evidence
- Supply and demand, the gaps between, inference the person confirms
- Two markets that move people: gigs and mentorship
- A learning map
Job Architecture
- Families, levels and profiles with skill criteria
- Every position mapped and the paths between levels
- Proposed by the agent from what you already have, approved by a second person
- Build by hand and job descriptions
Listening
- Pulses that run themselves on a cadence and at the moments that matter
- What the workforce keeps saying, as themes and a trend, never as a quote
- Schedules and campaigns
Engagement & Intelligence
- Anonymous pulses with one-way links
- Suppressed workforce dashboards and cohort-only turnover
- Headcount planning, the scenario lab and reproducible compliance packs
People Intelligence
- Every journey analysed as one system: what is moving, what is unusual, where it is heading
- Command deck, people, hiring, service and time, engagement and growth, AI governance, behaviour
- An analyst you can ask; for groups, never for a person
Pay Equity
- Where people sit in their bands
- Whether self-declared groups are paid alike for like work
- Measured, suppressed, attested; nobody is named; a ledger
Benchmarks
- How this workspace compares with others like it
- Buckets of at least five other opted-in workspaces, aggregates only
- Opting out withdraws everything
Autonomy Control Center
- Mode and budgets per lane
- Compiled policies with step-up dual approval
- Decision escrow and sampling
- Runs, shadow parity, replay and one-click kill switches
- Agent lanes with Risk / Impact, Budget / day, 30-day record and tool path
AI Governance
- Reason-coded corrections and immutable datasets
- The five-dimension release gate and the independent verifier
- Drift monitors, system cards and incidents
- Connectors and readiness
AI Quality & Rights
- Quality board: sampled decision quality and override pressure
- The appeals desk with independent reviewers
- The learning loop behind its privacy door
EU AI Act dossier
- Readiness matrix per AI system, computed from live records
- Oversight and notices, impact assessment
- The dossier to hand to an authority, with the action that closes each gap
Policy Packs
- Which law applies where, who signed it off, when it takes effect and when it runs out
- Markets, signing off a pack, law changes
- What the product refuses to do in each country until somebody signs
Employee Relations
- Grievances on sealed cases
- Conflict-checked investigations with human-only findings
- Four-eyes discipline with appeal
- The whistleblower vault
Launch & Leadership
- The fifteen gates a world-leading claim has to clear, each computed from live evidence
- Personas: what each one actually experiences
- The org graph, run ledgers and the truth register
What you would otherwise buy as eight tools.
An applicant tracking system, an HRIS, an onboarding tool, time and attendance, a learning platform, a performance tool, an engagement survey tool and an employee service desk, each with its own copy of your people. PeopleOS keeps one record and the providers you already trust.
HROne record per person
Everything in PeopleOS HR.
Every admin surface and public surface, grouped by journey. ★ marks a stand-out.
| Surface | What it does |
|---|---|
| Hire | |
| Recruiting ★ | Requisitions, job postings, the candidate pipeline, accommodations and appeals. |
| AI Screening Review ★ | Shadow-mode screening runs with evidence, corrections, evaluations and the fairness gate. |
| Interview Studio | Structured interview plans, sandboxed AI sessions with human takeover, transcripts and scorecards. |
| Live Interviews ★ | Watch an AI-run interview as it happens, take it over at any moment, and see exactly what the AI heard. |
| Scheduling | Real calendar events for interviews and check-ins, candidate self-scheduling, reschedule, cancel and provider reconciliation. |
| Offers & Hiring ★ | Sealed salary bands, offer approvals, checks, decisions and the conditional auto-offer gate. |
| Onboard | |
| Onboarding ★ | Templates, task plans, least-privilege provisioning, probation and new-hire check-ins, with progress measured from evidence. |
| HR Setup Copilot | Say what you want set up; get a plan of named recipes with what was understood and what was assumed; confirm and it runs. |
| HR Knowledge Network | Curated packs of HR practice installed as your own published articles, cited by Ask HR and the portal; updates keep your edits. |
| Run | |
| HR Home | People, organisation, cases and rights, the PeopleOS operator surface. |
| Time & Leave ★ | Schedules, shifts, time approvals, leave policies, holidays and requests. |
| Frontline | Shared-device clocking kiosks with PINs and badge codes, shift swaps approved by a manager, and the installable employee app. |
| Payroll & Expenses ★ | Payroll reconciliation, four-eyes compensation, benefits and expense claims. |
| HR Inbox | Employee threads HR can start first, case conversations, direct messages and announcements with read receipts. |
| AI Metering | PeopleOS AI spend by feature, day and model, lane budgets, a monthly cap that alerts a person, and a CSV export. |
| Grow | |
| Performance & Goals ★ | Goals, evidence-anchored review cycles, calibration and the private manager coach. |
| Learning & Talent | Courses, paths, the explainable internal marketplace, skills and succession. |
| Skills Intelligence | The workforce as skills: what you have with evidence, what you need, the gaps, gigs and mentorship. |
| Job Architecture | Families, levels, profiles with skill criteria, mapped positions and career paths, proposed by the agent, approved by a second person. |
| Listening | Pulses on a cadence and at lifecycle moments; eNPS trend, theme counts and drop alerts, anonymous by construction. |
| Engagement & Intelligence | Anonymous pulses, suppressed dashboards, planning, scenarios and compliance packs. |
| People Intelligence ★ | Trends, anomalies, forecasts, a health score, the 3D workforce landscape and an analyst you can ask; groups only, never a person. |
| Pay Equity | Position in band by unit and level, and like-for-like pay gaps between self-declared cohorts; suppressed, attested, nobody named. |
| Benchmarks | Opt-in comparison with workspaces like yours from buckets of five or more; aggregates only, opting out withdraws everything. |
| Govern | |
| Autonomy Control Center ★ | Budgets, compiled policies, escrow, shadow parity, run replay, breakers and kill switches. |
| AI Governance | Corrections, datasets, the five-dimension release gate, drift, verifier, cards and incidents. |
| AI Quality & Rights ★ | Sampled decision quality, override pressure, the appeals desk with independent reviewers, and the learning loop behind its privacy door. |
| EU AI Act dossier | Deployer readiness per AI system computed from live records, with the document to hand to an authority. |
| Policy Packs | Which law applies in each country, who signed it off, when it expires, and what the product refuses to do until somebody answers. |
| Employee Relations ★ | Grievances, investigations, four-eyes discipline and the whistleblower vault. |
| Launch & Leadership | The fifteen computed launch gates, measured persona experience, the org graph and the run ledgers. |
| Public surfaces & developers | |
| Employee portal ★ | Seatless, mobile-first self-service at /hr/your-workspace or on your own domain, scoped to the verified person. |
| Careers site | Open roles, applications, candidate self-scheduling and AI disclosure at /careers/your-workspace. |
| Clocking kiosk | Shared-device clock in and out with a PIN or a badge code. |
| Connector packages | A signed sandbox package for every connector class plus the production-capable Provider Gateway, certified per account from C0 to C4. |
| General API | The hr.* actions with contracts, scopes, idempotency, confirmation and dry runs; OpenAPI and Postman from the same registry. |
Whole team, one flat price.
Sized by headcount, not by agent.
HR agents work inside the seats your plan already has and are never counted. Employees use the seatless portal. Pick the tier that covers your active worker records.
PeopleOS HR for up to 50 people: recruiting, onboarding, time & leave, payroll, performance and the employee portal. Whole team, one flat price.
- 5 open requisitions
- 200 new candidates per month
- 300 AI interview minutes per month
- 500 AI actions per month
- 5 document storage (GB)
PeopleOS HR for up to 250 people: recruiting, onboarding, time & leave, payroll, performance and the employee portal. Whole team, one flat price.
- 20 open requisitions
- 1,000 new candidates per month
- 1,500 AI interview minutes per month
- 2,500 AI actions per month
- 25 document storage (GB)
PeopleOS HR for up to 1,000 people: recruiting, onboarding, time & leave, payroll, performance and the employee portal. Whole team, one flat price.
- 60 open requisitions
- 4,000 new candidates per month
- 6,000 AI interview minutes per month
- 10,000 AI actions per month
- 100 document storage (GB)
Available to add on Launch, Growth, Business, Scale. Not on free plans, and not while your plan itself is still on trial. One tier at a time; switch tiers from your account when you grow. Enterprise customers have it included with unlimited people. Every figure on this page is the live price in your selected currency.
Zendesk Employee Service charges per agent. PeopleOS HR charges per team.
Zendesk Employee Service prices its employee service desk per agent per month, billed annually. OpsIQ HR is one flat workspace price on monthly billing, HR agents uncounted, and it includes recruiting, onboarding, payroll reconciliation, performance and the employee portal, which an employee service desk does not sell.
| Tier | One HR agent | Three HR agents | Whole team |
|---|---|---|---|
| Zendesk Employee Service Suite Team | $29 | $87 | grows with every agent |
| Zendesk Employee Service Suite Growth | $59 | $177 | grows with every agent |
| Zendesk Employee Service Suite Professional | $99 | $297 | grows with every agent |
| OpsIQ HR 50 | $19 | $19 | $19 · up to 50 people |
| OpsIQ HR 250 | $49 | $49 | $49 · up to 250 people |
| OpsIQ HR 1000 | $99 | $99 | $99 · up to 1,000 people |
For a single HR agent, the smallest PeopleOS HR tier already costs less per month than the entry tier of Zendesk Employee Service, and the gap widens with every agent you add. Zendesk Employee Service figures are its published per agent per month, billed annually rate, checked on 2026-09-14 (source). OpsIQ figures are the monthly-billing price of each tier, converted into your selected currency.
Bring your people in. Keep the decisions.
Packaging, control, rights, providers and the API. Every answer here is also published as structured data.