Analyzing HR data with care

AI for Human Resources

Chris Klaus

Senior AI Architect, Chalice AI

AI transforms raw HR data into clarity

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  • Upload survey files or text logs

  • Detect hidden trends and sentiment shifts

  • Focus human attention on interpretation

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AI for Human Resources

Working directly with HR data files

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File Type Example Input Possible AI Output
Excel/CSV Engagement data Department trends, sentiment summary
Text Open-ended feedback Thematic clusters, tone insights
PDF Policy summary Key highlights, clause extractions

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Compare engagement scores by 
department and summarize top 
three improvement themes.

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AI for Human Resources

Ask better questions

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Iterate for sharper insight

  • Ask follow-up questions to narrow scope

  • Compare groups or time periods

  • Evolve simple outputs into meaningful stories

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Identify themes that differ between 
remote and on-site employees.

Summarize engagement drivers 
mentioned more than 20 times.

Focus only on managers' comments.
AI for Human Resources

Features worth exploring

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Thinking modes

  • Show the AI's reasoning process

  • Help you check assumptions

  • Useful for complex analysis

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Web search

  • Pull current salary benchmarks

  • Access industry trends

  • Verify against live data

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Use these to verify AI reasoning, not just accept outputs

AI for Human Resources

Bringing structure and visualization together

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Visualize and communicate results

  • Turn raw files into charts and heat maps

  • Summarize patterns visually for stakeholders

  • Combine quantitative and qualitative data

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AI for Human Resources

Responsible data use

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Use HR data responsibly

  • Remove personal identifiers before upload

  • Follow data governance and privacy policies

  • Share insights, not individual records

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Ethical AI builds employee trust

AI for Human Resources

Your turn

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AI for Human Resources

Let's practice!

AI for Human Resources

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