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    HR

    Predicts which employees are likely to leave.

    Don't wait for the resignation letter. An AI Agent Workflow that analyses engagement, performance and tenure signals. Flags early warnings and suggests retention actions. Reduces unwanted turnover by 35%.

    35 %: Reduction in unwanted turnover with a predictive model · McKinsey People Analytics 2024

    Runs on the Elevon platform
    elevonHRRetention Risk Predictor

    Data Inputs (4 sources)

    Done

    Risk Prediction Agent

    Done

    Retention Action Agent

    Done
    Output

    Retention Risk Dashboard

    Saved
    Illustrative run

    01How it works

    4 data sources. 2 AI agents. Prediction 3 months ahead.

    The inputs go in, the agents work one after another and you get one output, saved automatically.

    1. 01

      Data Inputs (4 sources)

      The agent ingests data from the HRIS (tenure, promotions, salary), engagement surveys, performance reviews and system signals (attendance, overtime, activity).

    2. 02

      Risk Prediction Agent

      Analyses behavioural patterns and identifies employees with high flight risk. The scoring model considers 20+ factors, including comparison with historical departures.

    3. 03

      Retention Action Agent

      For each at-risk employee, suggests specific retention actions: from a 1:1 with the manager to a career plan or compensation adjustment. Tracks intervention effectiveness.

    elevon · HR · Retention Risk PredictorRetention Risk Dashboard
    OutputRetention Risk Dashboard. A flight risk heatmap by team, department and seniority. Early warning alerts, suggested actions and intervention effectiveness tracking.
    ContainsFlight risk heatmap with early warning alerts and suggested retention actions.
    StatusSaved automatically. Waiting for human review before it goes to the team or client.
    FIG. 01: Sample output. Illustrative data.

    02Return

    See when it pays off.

    Four inputs, one answer: what this work costs today and with the workflow.

    Your inputs

    10
    20
    €50
    50 %

    Cost: €1,000 implementation + €190 / month platform fee

    Result

    €56,720saved in year one

    100 hours of work back every month · 18.3× return on the first year's cost

    M1M3M6M9M12

    Illustrative calculation. Includes €1,000 implementation and €190 / month fee. Agents' share is your assumption. Your numbers in a 30-minute call.

    03Every month

    What the workflow does every month.

    The jobs it keeps doing after the first run, so nobody starts from zero.

    • Weekly risk scoring

      Every week the agent re-evaluates flight risk for all employees. New warning signals trigger automatic alerts for the manager and HR.

      8 hrs/month

    • Retention recommendations

      For high-risk employees, the agent suggests specific interventions based on the risk driver, from career planning to compensation adjustment.

      5 hrs/month

    • Trend analysis & reporting

      Monthly report with turnover trends by department, seniority and reason. Identifies systemic issues and compares against benchmarks.

      4 hrs/month

    • Intervention tracking

      Tracks the effectiveness of retention actions: which interventions work, where risk decreased and where escalation is needed.

      3 hrs/month

    04Included and price

    What's included

    • Elevon agent configured and deployed
    • HRIS and engagement data connection
    • Predictive model calibrated to your data
    • Risk scoring rules and thresholds
    • Retention playbook templates
    • Dashboard and alerting setup
    • Demo run with anonymised data
    • Team walkthrough (1 h)

    One-time implementation

    €1,000

    One-time implementation. Full configuration + first live run. Platform fee is €190 per month.

    Then €190 / month platform fee

    Same fee regardless of how many use cases you run.

    FAQ

    Questions, answered.

    Basic HRIS data (tenure, role, salary, promotions) and ideally engagement surveys. The model improves progressively with more data.

    Typically 70-85% accuracy after calibration on your historical data. Accuracy increases with data volume and time.

    The model works with aggregated signals, not individual monitoring. Outputs are suggestions, not verdicts. Transparency is key.

    The model works without them: it uses HRIS data and system signals. Engagement data increases accuracy but isn't mandatory.

    All data is processed exclusively within your Elevon environment. The model doesn't use sensitive personal data.

    First predictions within 2 weeks of deployment. Full model calibration typically after 2-3 months with real data.

    05More for HR

    More AI Agent Workflows for HR.

    • HR

      Onboarding Automation

      The workflow automates employee onboarding, generates checklists, provisions accounts, sends welcome emails, schedules intro meetings, tracks completion. From 5 days to 1 day, 100% compliance.

      Runs on the Elevon platform

    • HR

      Job Description Generator

      The workflow generates tailored job descriptions from role briefs, responsibilities, requirements, culture fit, salary benchmarks. Reduces JD creation from 3 hours to 10 minutes, improves candidate quality by 40%.

      Runs on the Elevon platform

    • HR

      HR Policy Chatbot

      AI answers employee HR policy questions in real time, parses policy documents, handles exceptions, escalates edge cases. Reduces HR ticket volume by 60%, available 24/7.

      Runs on the Elevon platform

    All AI Agent Workflows

    Next step

    No surprises. No late exit interviews. Proactive retention.

    The agent predicts flight risk so you can intervene before it's too late.

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