Operating AI systems after launch

AI for Human Resources

Chris Klaus

Senior AI Architect, Chalice AI

What to watch for

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Watch for patterns:

  • Same questions recurring

  • Employees double-checking answers

  • Slight inconsistencies in responses

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Keep a simple log:

  • Questions, responses, what felt off

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These signals tell you when systems are drifting

AI for Human Resources

Regular checks

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30-minute monthly review

  1. Policy alignment - Did anything update? Test with current questions.

  2. Language drift - Do responses match your latest handbook?

  3. Edge cases - Review your log for recurring weak spots.

  4. Scope creep - Handling requests it wasn't designed for?

  5. Instruction accuracy - Rules still reflect current operations?

AI for Human Resources

When policies change, update instructions first

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New policy announced? Update AI systems first - before employees start asking.

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Step Action
1 Update AI instructions immediately - revise context sources and response guidelines
2 Test with realistic questions - use actual employee queries to validate responses
3 Focus on edge cases - identify scenarios where the agent might fail or produce errors
4 If inaccurate → narrow the agent's scope or route to humans for judgment
AI for Human Resources

Teamwork

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Quarterly spot-check process

Find one other person who can review your systems

  • Give them five realistic scenarios

  • Ask them to flag confusion, surprises, or moments they'd prefer a human

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AI for Human Resources

When something goes wrong

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Immediate response:

  1. Fix the configuration immediately

  2. Document what happened and changed

  3. Communicate clearly with affected employees

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Example message:

"We noticed [system] provided outdated guidance about [topic]. Here's the current policy..."

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AI for Human Resources

Building your support network

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Three ongoing connections you need:

Role Why you need them
HR contact Sees employee confusion early
Technical contact Adjusts configurations quickly
Compliance contact Flags regulatory changes
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Monitoring

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AI for Human Resources

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Four-week launch framework:

  • Week 1: Test top 20 expected questions

  • Week 2: Pilot with 10-15 people

  • Week 3: Update based on feedback

  • Week 4: Set monthly reviews

AI for Human Resources

Let's practice!

AI for Human Resources

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