Trust by Design

A Wrong HR
Answer Is a
Liability.

In HR, a confident wrong answer about a benefit or a compliance rule is not a glitch, it is exposure. Accuracy is not a feature you hope for; it is something you engineer. Here is how.

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58-82%
hallucination rate for general-purpose AI on legal queries in controlled testing
Stanford RegLab / Yale, 2024
31%
drop in trust in company-provided generative AI over mid-2025, trust is fragile
Deloitte TrustID, 2025
Cited
every answer traces to the policy and section it came from
The Problem

General AI Is Built to Answer. HR Needs It to Be Right.

A general-purpose chatbot is optimized to always produce a fluent answer, even when it does not know. That is acceptable for brainstorming and unacceptable for HR, where the answer affects someone's pay, leave, or standing, and where being wrong can be a legal matter.

The fix is grounding. A grounded agent retrieves from your approved HR documents and composes the answer strictly from what it found. If the content does not support an answer, it does not manufacture one.

Grounding is not automatic. It is a set of deliberate settings and design choices, and getting them wrong quietly reintroduces the hallucination risk you were trying to remove.

Off

Disabling ungrounded responses is the single most important accuracy control. With it off, the agent answers from your sources or escalates; it never fills the gap with invention.

Microsoft Copilot Studio
The Accuracy Controls
  • Ground answers only in approved, current HR content
  • Disable ungrounded responses so the agent cannot invent a rule
  • Mark vetted policies as official sources
  • Return citations on every answer for verification
  • Escalate to a person when policy does not cover the question
  • Keep stale content out; freshness is part of accuracy
How We Engineer It

Five Controls That Keep an HR Agent Honest

Accuracy in an HR agent is the sum of these controls. Remove any one and the failure mode returns, usually quietly, in the answers no one double-checks.

01

Grounding

The agent answers only from retrieved approved content, not from the model's general memory.

02

Ungrounded off

If the sources do not support an answer, the agent declines rather than guesses.

03

Official sources

Vetted, authoritative policies are marked so the agent prefers them over drafts or duplicates.

04

Citations

Every answer shows the policy and section, so employees verify and HR defends.

05

Escalation

Out-of-scope questions route to the right HR contact instead of producing a plausible-sounding guess.

How We Keep It Accurate

Engineered, Not Hoped For

We scope the agent to current, approved content, configure the guardrails, and design the refusal and escalation behaviour so the agent is honest about its limits. Accuracy is a build outcome, not a model property.

  • Scoped to approved, current content
  • Guardrails configured, not default
  • Refusal and escalation designed in
  • Stale content removed from scope
How We Prove It

Tested Before It Goes Live

Before launch we test the agent against a set of real HR questions, including deliberately out-of-scope ones, and confirm it answers with citations or escalates. We re-test as content changes, because accuracy decays if content does.

  • A test set of real HR questions
  • Out-of-scope questions in the test
  • Citations verified on answers
  • Re-tested as policy content changes

Make Accuracy Something You Can Prove.

We will show you how a grounded HR agent handles your real questions, including the ones it should refuse. Start with a discovery call.

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