Using AI Agents with employees

AI for Human Resources

Chris Klaus

Senior AI Architect, Chalice AI

When AI faces employees

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Employee-facing AI supports:

Explaining policies
Guiding onboarding steps
Surfacing learning resources
Supporting career exploration

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The risks

Career questions carry especial weight

Topic	Risk if poorly handled
Growth	False expectations
Promotion readiness	Confusion about criteria
Compensation	Frustration or distrust
Performance feedback	Damaged confidence

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Career Coach example

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The agent CAN help employees:

Explore skills to develop
Understand common career paths
Identify learning opportunities
Frame development goals

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Acts as a thinking partner 🧠

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The agent CANNOT:

Recommend specific promotions
Provide compensation advice
Interpret performance evaluations
Replace manager conversations

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These require human judgment 👤

Responsible design

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Escalation

Know when to stop and redirect
Questions with exceptions → human conversation
Protects employees from misunderstanding
Protects HR from unintended commitments

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Consistency

Predictable responses build trust
Neutral, non-evaluative language
Clear boundaries protect everyone

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Building trust

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Trust comes from design choices, not model advancement

Clear boundaries 🔒 Predictable responses using neutral, non-evaluative language

Transparent escalation → 👥 Clearly redirect to HR when human judgment is required

Human accountability ✅ Visible pathways to human decision-makers

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Employee-facing agents can:

Extend HR support without replacing HR responsibility
Help employees think, reflect, and prepare

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They should NOT:

Evaluate outcomes
Make commitments

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When designed thoughtfully, agents can scale access while preserving trust

Let's practice!

AI for Human Resources

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