2 Employee Communication AI Agents, Live in Production.

2 live agents automate employee communication within human resources. They all run when a message arrives. Each one publishes the inputs it needs, the steps it works through and what it hands back.

  • Live

    Employee Request Acknowledgment

    Acknowledge an employee's HR request, route it to whoever can actually action it, and say when they will hear — without answering something that needs a person. Nothing is sent.

  • Live

    HR Policy Assistant

    Answer an employee's policy question from the handbook, with the clause quoted — and escalate anything that needs a person.

Answering from the handbook with the clause quoted, and escalating the rest

HR fields a high volume of questions with a long tail of sensitivity. Most are simple — how much leave do I have, what is the notice period, does this expense qualify — and answering them consumes the capacity needed for the ones that are not. The obvious response is a chatbot, and the obvious failure is a chatbot that answers everything: it paraphrases the handbook, which means the answer drifts from the policy and cannot be checked; and it answers the question that begins as a leave query and turns out to be about a grievance or a health condition, which is the one interaction where a wrong response does real damage. Meanwhile requests that need a human sit in a shared inbox with no acknowledgement, so the employee chases.

These agents split the volume from the sensitivity. HR Policy Assistant answers an employee’s policy question from the handbook with the clause quoted, and escalates anything that needs a person. Quoting rather than paraphrasing is what makes the answer verifiable; the escalation boundary is what makes the assistant deployable. Employee Request Acknowledgment acknowledges a request, routes it to whoever can actually action it, and states when the employee will hear — explicitly without answering anything that needs a person. Nothing is sent. The two agents together mean the routine question is resolved immediately and the sensitive one reaches a human faster than it does today, rather than being absorbed by something that should not have handled it.

What this moves

Policy answers an employee can verify
The answer quotes the clause it came from, so an employee can check it rather than relying on a paraphrase that may have drifted.
Requests routed to someone who can act
A request is acknowledged and routed to whoever can actually action it, with a stated timeframe, instead of sitting in a shared inbox.
Sensitive questions answered by a machine
Anything needing a person is escalated rather than answered, which is the boundary that makes an automated policy assistant safe to deploy at all.

Human Resources

How AI agents handle employee communication

Drawn from the 2 agents above — what they require, how they run, and what comes back.

What they need

  • Employee request
  • Routing settings
  • Employee question

What comes back

  • What is being asked Classification badge
  • Acknowledgment Draft reply
  • Routing Metadata grid
  • Handle with care Flagged exceptions
  • Question type Classification badge
  • Draft reply Draft reply
  • Handbook clauses used References

How they run

Triggered by an incoming message
2
Steps per run
3–4
Credits per run
3–5
Use a knowledge base
1

Where employee communication fits in human resources

Leave, expenses, notice periods and benefits questions arrive daily and the answers are already in the handbook. Employees ask a person because searching a PDF is worse than asking — an agent fixes that side of it.

All 20 human resources agents

Next Step

Deploying employee communication agents

These run as-is against the inputs listed above. Most deployments adapt one — a different source system, a different tolerance, a different approval path. The first call establishes which.

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