Automated Flight Risk & Retention Scoring in Private Equity

AI flight risk scoring integrates live carry tracking from Carta, portfolio performance metrics from Allvue, and behavioral signals from Salesforce to flag operators whose patterns match past departures - early enough to retain them before deal execution capacity is lost. The model correlates carry realization timelines, fund vintage burndown, portfolio company exit readiness, and historical departure patterns within your firm to assign each operator a flight risk percentile. Unlike pulse surveys or exit interviews, this approach surfaces at-risk talent before they disengage from critical deals, giving HR the intervention window needed to deploy targeted retention levers - accelerated vesting, platform company equity, or strategic deal assignment.

Yes, within the limits we're honest about. All data flows are encrypted end-to-end and audit-logged so your compliance team can meet its Investment Advisers Act documentation requirements - and AIFMD requirements if you manage European funds. Your Carta, Allvue, Salesforce, and Workday credentials remain isolated, and Revenue Institute accesses only the specific data fields required for flight risk modeling. No vendor can honestly promise absolute security, so don't take our word for it - ask to see our data-processing terms and put them in the contract before you sign.

Plan for a working system inside the first 100 days. Weeks 1-3 involve system access setup and data mapping (Carta, Allvue, Salesforce, Workday integration). Weeks 4-6 focus on historical data ingestion and model training using 18-24 months of your firm's departure and retention outcomes. Weeks 7-10 include testing, HR workflow integration, and stakeholder training. Go-live occurs in week 11-12. A rollout like this is scoped to show measurable results - first flagged at-risk operators, initial retention interventions, and improved prediction accuracy - within 60 days of production launch.

Four feeds: carry schedules and vesting from Carta, portfolio EBITDA and exit readiness from Allvue or your proprietary dashboards, deal activity and engagement patterns from Salesforce, and compensation and tenure data from Workday or ADP. The financial mechanics matter most - vesting cliffs, fund vintage position, carry value tied to portfolio performance - because those are the numbers a PE operator actually weighs when deciding to stay or leave. If your carry tracking lives in spreadsheets today, that gap gets resolved during data mapping before the model scores anyone.

It scores each operator's current profile against the circumstances that preceded departures at your firm. A deal lead two years from a vesting cliff whose carry is tied to an underperforming platform reads very differently from one riding a near-exit asset - even if their engagement survey answers look identical. The model weighs those financial mechanics alongside behavioral signals like deal disengagement, then assigns a percentile with a confidence score, so HR knows both how risky and how certain each flag is before acting.

That is your call, and we recommend making it deliberately rather than by default. The system reads financial and operational signals your platforms already record - carry and vesting schedules, deal activity, engagement metadata - not the content of messages, and you can exclude any field from the model. Every intervention still requires human approval, so nothing reaches an operator except a GP or HR deciding to act. Most firms position it internally the way it actually works: a tool that protects deal continuity by surfacing a retention conversation before a departure, not a surveillance system on the deal team.

No. Your current team stays - this is about the roles you have not posted yet. The system does the monitoring no one was staffed for: reading carry schedules, portfolio performance, and deal activity weekly, then drafting prioritized retention options. Your HR team and GPs keep every judgment call - who gets an offer, what it contains, and when it lands. What changes is that the firm stops discovering flight risk from a resignation letter mid-hold.