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AI for hr and identity

Put AI to work on the HR reading and interpretation that rules do not cover.

Applications, employee requests and handover material take time to read, organize and place in context. Nexus can use a selected model for that work while existing rules handle worker identifiers, effective dates, entitlement mappings and task sequences. Across Workday, Personio, ADP, Okta and service workflows, the result is a process that spends AI capacity on useful interpretation and keeps each people-related decision with its named owner.

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Use cases in hr and identity
14Use cases in hr and identity
Places a model does the work
4Places a model does the work
Systems they run across
8Systems they run across
Your model, your infrastructure
Self-hostedYour model, your infrastructure

Where the model earns its place

What AI does here

Each of these is a point where the input varies enough that a rule cannot settle it, and where the output is something a person can check.

  1. Organizes application evidence

    A model reads permitted application content against explicit job requirements and prepares an evidence-backed comparison and proposed review order. Recruiters can move between the summary and the original passages as they assess each application.

  2. Interprets employee requests

    A model turns free-text questions into the approved request categories and prepares answers from relevant policy material. Existing routing rules then carry each request to the authorized HR owner.

  3. Prepares handover summaries

    A model brings permitted employment and identity records into a source-linked brief of responsibilities, recorded access and questions for the manager. The manager completes and approves the handover scope.

  4. Focuses time-entry review

    A model examines time patterns alongside the configured policy checks and prepares explanations for entries that merit payroll review. The payroll owner can assess the entry with its assignment and period context already assembled.

Human control

Where a person decides

A named recruiter decides progression or rejection after reviewing the application against the approved job criteria; the comparison excludes sensitive attributes and inferred personal traits. HR approves employee-specific advice and changes within its authority, payroll approves corrections and pay treatment, and identity owners approve access changes. The workflow records each decision and applies the authorized action in the relevant system.

Cost

Deterministic or AI

Worker matching, dates, approved access mappings and onboarding task sequences do not need a model call to repeat a known rule. Keep that volume on the deterministic path and direct AI capacity toward reading applications, interpreting requests and assembling handover or time-review context. Nexus runs both in one workflow, making the choice per step rather than applying inference charges across the entire employee lifecycle. The many deterministic HR and identity use cases below are part of that cost-efficient architecture.

How governed AI automation worksRules first, model proposal second, policy check, human review, captured decision.

14 use cases

HR and identity use cases

Explore HR and identity workflows covering governed employee lifecycle actions alongside model-assisted review of applications, requests, handovers and time entries.

Filter every use case by industry and theme

Talk to a solutions engineer

See this run against your own hr and identity systems

Bring one process you would want to put a model in front of. We will map which steps stay deterministic, where the model is worth the call, who approves what, and what the run record has to show afterwards.

  • Runs on your infrastructure, including air-gapped.
  • Your model provider, or one you host yourself.
  • No system of record is replaced.

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Goes to a solutions engineer who will run the session against the capability you select, in a shared environment.

FAQ

AI for hr and identity: common questions

Where is AI spending most useful in these HR workflows?
In interpreting and summarizing material that arrives in varied language or document form. Known identifiers, dates, routing tables and approved access mappings can remain rule-based.
Who makes recruiting, payroll and access decisions?
The named recruiter, payroll owner or identity authority specified by policy. The model prepares the review material, and a separate workflow action applies the authorized decision.
How is employee information scoped for a model step?
The workflow selects the permitted fields and policy material for that task, with defined reviewer access and destination permissions. The execution record follows the agreed data-handling policy.
Can we host the model ourselves?
Yes. The model can run locally; any connected cloud HR or identity service still uses its separately approved connectivity, while a fully isolated design uses in-boundary sources and interfaces.

Architecture session

Work out where AI belongs in your hr and identity processes

We will go through the steps you run today and say which ones a rule should keep, which ones a model improves, and what each one costs to operate.

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