HR & people·Cost reduction

Employee policy Q&A assistant

HR teams handle thousands of policy questions a year. The answers exist in the handbook, but employees either cannot find them or do not trust the handbook.

The AI approach

An AI assistant answers employee policy questions from the authoritative HR documents, cites the exact passage, and escalates anything sensitive.

How it works
  1. 01

    The assistant is grounded in your approved HR documents. It cannot invent answers.

  2. 02

    Every response cites the exact policy section so employees can verify.

  3. 03

    Questions touching on grievance, compensation or legal matters are automatically escalated to HR.

  4. 04

    Employees ask in plain language, in their preferred channel (Slack, Teams, email).

  5. 05

    HR sees which policies get the most questions and can improve the source documents.

Typical ROI
50 to 70% hr ticket deflection

freeing two to four HR FTE for higher-value work.

Ranges drawn from production deployments and public enterprise benchmarks. For a specific rupee or dollar figure tailored to your volume, use the calculator below.

What you need in place

Prerequisites for a clean deployment.

  • Up-to-date HR policy documents
  • Q&A examples from prior HR tickets
  • Jurisdiction tags for multi-country organisations
  • A clear escalation policy for sensitive cases
Make this yours

Put your own numbers on it.

Estimated annual saving for you
₹28 L to ₹39 L
Hours freed / yr
3,000 to 4,200
Annual volume
60,000tickets
Share this with your team

At 5,000 tickets a month and a loaded monthly cost of ₹1,50,000 per person, employee policy q&a assistant would typically save ₹28 L to ₹39 L a year.

Range uses this use case’s typical automation rate (50 to 70 percent) against the baseline time per task for support work, with your cost per person converted at 160 working hours a month.

10 · Start here

Let’sbuildyoursystemnext.

Thirty minutes with someone who’d be doing the work. No slide deck, no intake form. We’ll tell you what’s feasible, where you’ll hit friction, and what we’d pick up first.

Response
< 24 hours
First read
No NDA needed
Bangalore / Remote
UTC ±12