Know who's leaving — before they tell you.

What your people team no longer has to do manually

Most companies learn about a resignation when it lands. You’ll know months earlier.

• Find out people are leaving from their resignation letter

  The AI reads engagement, compensation, mobility, and tenure signals to flag flight risk 3–6 months ahead.

  → Time to act before the resignation, not after.

• Guess why someone might leave

  Every prediction comes with explainable reasoning.

  → You know exactly what to fix, per person.

• Apply the same retention playbook to everyone

  Specific interventions are recommended per employee — promotion, comp, role change, coaching.

  → 20–40% less regrettable attrition.

• Trade employee trust for insight

  Privacy-first design with configurable consent and anonymization.

  → Insight without surveillance.

The results you can expect

• 3–6 mo

  advance warning before resignations land.

• 20–40%

  reduction in regrettable attrition.

• 1–2x

  salary saved on every prevented exit.

• Per person

  specific interventions, not a generic playbook.

How it works

• Connect HRIS, performance, engagement, and comp data.
• AI builds individualized flight-risk scores.
• HR and managers receive prioritized at-risk lists with recommended actions.
• Track intervention effectiveness over time.