Use case
Most organisations learn someone is leaving when the resignation lands. Arcloops helps HR teams combine people signals into early-risk views — so retention conversations, role redesign, and succession planning happen before the offer from elsewhere is signed.
Exit interviews explain yesterday. They rarely prevent tomorrow’s departure of a high performer whose manager never saw the pattern forming. CHROs and people leaders still rely on annual engagement scores, informal gossip, and after-the-fact regrettable-loss tallies while hiring costs and knowledge drain compound.
The operational reality is fragmented data. Attendance, performance cycles, compensation bands, internal mobility, manager changes, and ticket volume with HR live in different tools. Nobody owns a single “flight risk” narrative that is fair, explainable, and actionable. Without structure, teams either do nothing or overreact to anecdotal signals — both damage trust.
Attrition is expensive beyond replacement fees. Projects slip when critical roles turn over mid-delivery. Customers feel continuity breaks. Remaining staff absorb load and become the next departure cohort. In competitive labour markets, waiting for a resignation is a strategy of hope.
People analytics or CHROs own the model ethics; HRBPs own interventions; managers own stay conversations; legal/privacy own access boundaries. Anti-patterns include publishing individual scores on open dashboards, using surveillance proxies without consent framing, and treating prediction as an automatic PIP trigger.
Prediction only helps when it is paired with governance: clear features, bias review, manager playbooks, and privacy boundaries. The goal is not to label employees as problems. It is to give HR and leaders earlier, fairer reasons to intervene — career paths, workload, compensation reviews, or team climate — while there is still a relationship to save.
Connect HRIS and related workforce data under clear access controls. Features are chosen with HR and legal — tenure, mobility, span of control changes, performance context — avoiding voyeuristic or discriminatory proxies. Data quality work (duplicate records, stale org charts) happens before scoring anyone.
Models highlight teams and roles with elevated risk and show contributing factors in language managers can discuss. Scores are decision support, not automatic HR action triggers. What good looks like: an HRBP can explain why a cohort appears elevated without revealing inappropriate individual detail in the wrong forum.
High-risk signals feed structured workflows: stay interviews, compensation calibration, workload checks, or succession planning — owned by HRBPs and managers, not by a silent algorithm. Failure modes include managers ignoring signals until resignation day, or intervening so bluntly that trust collapses.
Track whether interventions changed outcomes for targeted cohorts. Retraining and feature review stay on a controlled cadence so the system remains fair as the organisation changes. Integration with Approvals can govern compensation exceptions that emerge from stay conversations.
Attrition prediction sits inside Arcloops’ AI in HR solution at /solutions/ai-in-hr, with product depth available through ArcLoops HCM at /products/arcloops-hcm for organisations that want people analytics alongside recruitment, onboarding, and lifecycle workflows.
Engagements start with data readiness and ethics boundaries, then a pilot on a defined population (for example, one business unit) before wider rollout. Where manager actions require formal approval chains — compensation exceptions, role changes — Approvals at /products/approvals can sit beside the people analytics loop. Integration notes cover HRIS extracts, role-based dashboards, and audit logs for who viewed scores. We deliberately avoid inventing ROI percentages; pilots emphasise observable retention conversations and cohort movement over vanity forecasts.
Global deployments emphasise explainability and privacy-by-design for multi-country workforces. In Bangladesh and South Asia, programmes often combine attrition analytics with high-volume hiring and bilingual employee communication — still framed for worldwide HR practice, with local labour and data expectations handled in the delivery plan. Multi-country groups may restrict individual-level views to in-country HRBPs even when group analytics sit centrally.
Ready
Bring your HRIS landscape and retention priorities. Arcloops will outline a governed pilot — data, ethics boundaries, and manager playbooks — without promising invented ROI percentages.