a2a cloud
9 governed workflows

AI agent blueprints for People Operations.

Administrative people workflows that organize consented evidence and drafts while prohibiting autonomous employment decisions. Each pattern defines the evidence it reads, the artifacts it produces, the authority it may exercise, and the human who makes the consequential decision.

built for

People operations, recruiting operations, learning, and employee-experience teams

approval owner

people operations owner

default posture

private · read/propose · human-gated

workflow index

Nine jobs with a crisp acceptance test.

These are implementation patterns, not generic “AI for People Operations” pages. Open one to see its exact trigger, topology, grants, approval boundary, failure modes, and KPI.

015 nodes

Role description review

Check a proposed role description for clarity, internal consistency, approved requirements, and accessible language before publication.

measure

role descriptions approved first review

Open blueprint →
025 nodes

Candidate intake completeness

Validate application completeness and scheduling prerequisites without ranking candidates or inferring suitability.

measure

applications ready for human review

Open blueprint →
035 nodes

Interview loop packet

Assemble an approved competency plan, interviewer assignments, and structured evidence forms for a recruiting coordinator.

measure

interview loops with complete competency coverage

Open blueprint →
045 nodes

Interview evidence summary

Organize submitted interviewer evidence by approved competency and surface missing or contradictory observations without recommending a hire.

measure

decision meetings with complete evidence

Open blueprint →
055 nodes

People onboarding plan

Translate an approved hire packet into milestones, owners, required acknowledgements, and first-week coordination tasks.

measure

onboarding tasks completed by due date

Open blueprint →
065 nodes

Leave request intake

Validate administrative completeness, identify the applicable process, and prepare a confidential specialist review packet without deciding eligibility.

measure

complete leave packets at specialist review

Open blueprint →
075 nodes

People policy answer draft

Draft a response from current approved people policies and route exceptions or individual determinations to a specialist.

measure

policy answers accepted first review

Open blueprint →
085 nodes

Employee offboarding coordination

Build a confidential owner-assigned departure checklist spanning people, payroll, assets, access, and knowledge transfer.

measure

offboarding tasks completed within policy

Open blueprint →
095 nodes

Engagement feedback synthesis

Aggregate sufficiently anonymized feedback into themes, representative evidence, and leadership questions without profiling individuals.

measure

reviewed feedback themes with an owner

Open blueprint →
shared operating model

The workflow is autonomous. The authority is not.

  1. 01

    Attach evidence

    Put only this case’s approved inputs in a scoped workspace.

  2. 02

    Run specialists

    Each bounded node produces an artifact the next node can challenge.

  3. 03

    Stop at proposal

    External writes stay outside the agent’s default authority.

  4. 04

    Record the decision

    Keep the human approval as a decision record beside the signed evidence from the agent run.

Pick one expensive, inspectable job.

Start with real evidence, a named decision owner, and a measurable result. Expand the agent only after the receipt and acceptance test prove the workflow holds.