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Retention · Insight and analytics

Attrition Signal Agent

Regretted leavers are visible months in advance in aggregate patterns. The agent surfaces the pattern, not the person.

A wide timeline of light against a dark background
Insight and analytics

Trigger

Weekly run on aggregated HR data

Inputs

  • Tenure and movement history
  • Pay position
  • Manager span
  • Engagement survey aggregates

Outputs

  • Group-level risk view
  • Driver ranking
  • Suggested interventions

Control

Human decides

Tier 1

EU AI Act plus works council agreement. Aggregate only, minimum group size ten.

Interactive sketch

Deterministic, no live model
  1. 1

    Aggregate

    Builds cohorts by tenure, level and location, drops small groups.

  2. 2

    Model the pattern

    Fits leaving rates against the drivers you allow it to use.

  3. 3

    Rank drivers

    Shows which driver moves the rate, and by how much.

  4. 4

    Propose actions

    Links each driver to an intervention with an owner.

Reports on groups of ten or more. No individual flight-risk scores, ever.

Recorded run

Scrub through a recorded run.

Deterministic replay
Step 1 / 4

Active step

Aggregate

Builds cohorts by tenure, level and location, drops small groups.

34 cohorts · 6 dropped

Sources

  • HRIS movement history
  • Pay band data
  • Survey aggregates

Guardrail

Reports on groups of ten or more. No individual flight-risk scores, ever.

Next step

Want to see this agent on your own process? The intro call is free and takes 30 minutes.

Get in touch

Answer within a day, with a concrete recommendation.

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Ten agents with a clear job, inputs and guardrails.

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