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Employee policy case triage

Ground employee questions in current policy and route sensitive cases to the right specialist.

What this workflow does

Ground employee questions in current policy and route sensitive cases to the right specialist. It resolves identity, enriches the case with approved evidence, and shows why the proposed route is appropriate before anything is assigned.

What you gain

Grounded answer or owned HR case

What the AI agent changes

How this worked before

Rule-based routing handled only clean, predefined fields and broke when the request was incomplete or written in natural language.

What the AI agent changes

The agent can interpret unstructured context, gather missing evidence, explain its recommendation, and pause when confidence is low.

Agent trigger

An authenticated employee asks a policy or benefit question.

Inputs

  • Process context: employee context, effective policy, jurisdiction, and case history
  • Approved policies, ownership, and exception rules

Agent flow

  1. 1

    Resolve the case identity and validate source freshness.

  2. 2

    Enrich the case with approved context and show every scoring signal.

  3. 3

    Prepare a cited answer or confidential specialist route with confidence and exceptions.

  4. 4

    Create the approved assignment and notify its owner.

Human decisions

After step 3

The accountable process owner approves a cited answer or confidential specialist route.

Outcome

  • Grounded answer or owned HR case
  • Evidence, exceptions, and audit trail

Guardrails

  • Do not route low-confidence identity matches automatically.
  • Use an allowlist of destinations and writable fields.

Risks and mitigations

A wrong identity match can send a case to the wrong owner.

Require deterministic identifiers and expose the routing rationale.

Sources and evidence