People Analytics Agent
Workforce intelligence - from attrition prediction to engagement drivers.
Analyses attrition, engagement, diversity, and productivity patterns and trends. EU AI Act high-risk classification applies.
Analyse your process
Assessment
What This Agent Does
People analytics sits between operational HR reporting (what happened) and strategic workforce planning (what should we do). It answers the operational questions that HR business partners face daily: which teams have the highest attrition risk? What are the leading indicators of disengagement? Where are the bottlenecks in internal mobility? Which managers produce consistently better retention outcomes?
The People Analytics Agent combines data from across HR systems to produce these operational insights. It builds predictive models for attrition risk, analyses engagement survey data for actionable drivers (not just scores), tracks diversity and inclusion metrics across the employee lifecycle, and identifies patterns in talent movement that inform intervention strategies.
This agent is classified as high-risk under the EU AI Act (Annex III, Section 4(b)) because it involves monitoring and analysing employee behaviour patterns - even when the output is aggregate analysis rather than individual decisions. The governance requirements are significant: the line between helpful analytics and intrusive surveillance must be clearly defined and enforced.
Micro-Decision Table
Collect cross-system HR data Aggregate data from payroll, time, performance, engagement, and learning systems AI Agent
Automated data collection with cross-source validation
Decision Record
Challengeable: Yes - fully documented, reviewable by humans, objection via formal process.
Build predictive models Develop attrition, engagement, and performance prediction models AI Agent
Statistical modelling with defined methodology and validation
Decision Record
Challengeable: Yes - fully documented, reviewable by humans, objection via formal process.
Validate model fairness Test models for demographic bias and discriminatory patterns AI Agent
Automated fairness analysis per defined equity metrics
Decision Record
Challengeable: Yes - fully documented, reviewable by humans, objection via formal process.
Review fairness results Assess and address any identified bias in models Human
Human review required for bias assessment and remediation decisions
Decision Record
Challengeable: Yes - via manager, works council, or formal objection process.
Generate operational reports Produce analytics dashboards for HR business partners AI Agent
Automated report generation per defined analytics framework
Decision Record
Challengeable: Yes - fully documented, reviewable by humans, objection via formal process.
Control access to individual-level data Enforce access restrictions on sensitive individual predictions Rules Engine
Role-based access controls per data sensitivity classification
Decision Record
Challengeable: Yes - rule application verifiable. Objection possible for incorrect data or wrong rule version.
Monitor for surveillance concerns Flag analytics that approach employee surveillance boundaries Rules Engine
Boundary rules defining acceptable vs. intrusive analytics
Decision Record
Challengeable: Yes - rule application verifiable. Objection possible for incorrect data or wrong rule version.
Decision Record and Right to Challenge
Every decision this agent makes or prepares is documented in a complete decision record. Affected employees can review, understand, and challenge every individual decision.
Prerequisites
- Cross-domain HR data integration (payroll, time, performance, engagement, learning)
- Analytics platform with statistical modelling capability
- Fairness and bias testing framework
- Access control framework for sensitive analytics
- EU AI Act conformity assessment for high-risk classification
- Works council agreement on employee data analytics
- Data Protection Impact Assessment for predictive people analytics
- Defined boundaries between analytics and surveillance
Governance Notes
Infrastructure Contribution
Does this agent fit your process?
We analyse your specific HR process and show how this agent fits into your system landscape. 30 minutes, no preparation needed.
Analyse your processWhat this assessment contains: 9 slides for your leadership team
Personalised with your numbers. Generated in 2 minutes directly in your browser. No upload, no login.
- 1
Title slide - Process name, decision points, automation potential
- 2
Executive summary - FTE freed, cost per transaction before/after, break-even date, cost of waiting
- 3
Current state - Transaction volume, error costs, growth scenario with FTE comparison
- 4
Solution architecture - Human - rules engine - AI agent with specific decision points
- 5
Governance - EU AI Act, works council, audit trail - with traffic light status
- 6
Risk analysis - 5 risks with likelihood, impact and mitigation
- 7
Roadmap - 3-phase plan with concrete calendar dates and Go/No-Go
- 8
Business case - 3-scenario comparison (do nothing/hire/automate) plus 3×3 sensitivity matrix
- 9
Discussion proposal - Concrete next steps with timeline and responsibilities
Includes: 3-scenario comparison
Do nothing vs. new hire vs. automation - with your salary level, your error rate and your growth plan. The one slide your CFO wants to see first.
Show calculation methodology
Hourly rate: Annual salary (your input) × 1.3 employer burden ÷ 1,720 annual work hours
Savings: Transactions × 12 × automation rate × minutes/transaction × hourly rate × economic factor
Quality ROI: Error reduction × transactions × 12 × EUR 260/error (APQC Open Standards Benchmarking)
FTE: Saved hours ÷ 1,720 annual work hours
Break-Even: Benchmark investment ÷ monthly combined savings (efficiency + quality)
New hire: Annual salary × 1.3 + EUR 12,000 recruiting per FTE
All data stays in your browser. Nothing is transmitted to any server.
People Analytics Agent
Initial assessment for your leadership team
A thorough initial assessment in 2 minutes - with your numbers, your risk profile and industry benchmarks. No vendor logo, no sales pitch.
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Frequently Asked Questions
Does the agent monitor individual employees?
The agent produces analytics - not surveillance. There is a defined boundary: aggregate patterns (team attrition trends, engagement driver analysis) are standard analytics. Individual tracking (monitoring specific employees' behaviour) requires explicit justification, governance approval, and in most jurisdictions, works council agreement.
How are individual attrition risk predictions handled?
Individual-level predictions are among the most sensitive analytics outputs. Access is strictly controlled, use cases are defined (proactive retention conversations, not punitive actions), and transparency requirements may apply depending on jurisdiction.
What Happens Next?
30 minutes
Initial call
We analyse your process and identify the optimal starting point.
1 week
Discover
Mapping your decision logic. Rule sets documented, Decision Layer designed.
3-4 weeks
Build
Production agent in your infrastructure. Governance, audit trail, cert-ready from day 1.
12-18 months
Self-sufficient
Full access to source code, prompts and rule versions. No vendor lock-in.
Implement This Agent?
We assess your process landscape and show how this agent fits into your infrastructure.