Know who's drifting — weeks before they decide to go.

ProHance Retention Risk Index (RRI) is an AI/ML-powered employee retention tool that predicts attrition risk before it happens.

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70–90%

Predictive accuracy

Weekly

Disengagement signals

Always-on

Runs in the background

Retention Risk · Live

Monitoring 8,571

user_18SG005073 · Disengagement 12W

At Risk

user_24SG008815

user_29SG010700

87.27%

Prediction accuracy

What is ProHance RRI

Employee attrition doesn't begin with a resignation. It begins with signals. RRI helps you detect them early.

RRI is an AI/ML-powered retention intelligence solution that continuously analyzes workforce behavior to identify early signs of disengagement and predict attrition risk before employees decide to leave. With 70–90% predictive accuracy, it gives leaders the time and insight to intervene while retention is still possible.

Most organizations recognize attrition only after a resignation is submitted and the replacement cycle begins. By then, the cost of replacing talent, transferring knowledge, and restoring productivity is already in motion. RRI surfaces these behavioral signals weeks earlier, enabling timely, data-driven interventions that improve retention outcomes.

The Cost of Reacting Too Late

$10T

Estimated annual productivity lost to low employee engagement

Gallup estimates that low employee engagement costs the global economy $10 trillion each year, highlighting the business impact of disengagement that often goes unnoticed until it's too late.

80%

Average cost to replace a technical professional

Replacing skilled employees typically costs organizations around 80% of annual salary, before accounting for lost expertise, productivity, customer relationships, and the time required for new hires to reach full effectiveness.

200%

Cost to replace a leader or manager

Leadership turnover can cost up to 200% of annual salary, reflecting the significant impact of recruitment, transition, knowledge loss, and business disruption.

"Employee attrition is rarely a sudden event. It is the outcome of behavioural patterns that develop over time. Organizations that recognize those signals early are better positioned to retain critical talent before the business impact compounds."

Sources: Gallup, State of the Global Workplace 2026; Gallup, 42% of Employee Turnover Is Preventable but Often Ignored.

What RRI Does

RRI is an AI/ML-powered early warning system that reads the behavioral work pattern signals your workforce generates every day and turns them into actionable retention intelligence. It works in two continuous, automated stages:

Updated Weekly

Engagement — Who needs support?

Disengagement flagged every week

By analyzing shifts in work patterns, RRI identifies potential disengagement as it creeps in — giving managers the opportunity to intervene and address issues before they escalate. Drill into teams, roles, locations, and projects. Know exactly where to direct your retention effort.

Updated Monthly

Attrition Risk — Who might leave?

Attrition Prediction

RRI's model correlates disengagement patterns with your organization's historical resignation data, producing a forward-looking attrition risk score per employee. Validated at 70–90% predictive accuracy across multiple enterprise datasets.

Both stages run automatically; Disengagement is updated weekly while Retention Risk is updated monthly — no analyst required, no manual configuration after setup.

Disengagement & Retention Risk Trends

📊 RRI Dashboard — Disengagement & Retention Risk Trends (Interactive demo available in the live product)

Four Things RRI Gets Right

Objective, Not Instinct-Based

RRI removes manager perception and survey bias from the equation. Every risk score is driven by behavioral data — consistent, comparable, and free of subjectivity.

Precision at Every Risk Level

High / Medium / Low segmentation across your entire workforce, with drill-down across 10 configurable dimensions — team, role, location, tenure, project, and more.

From Signal to Intervention

A manager check-in for Low-risk employees. A structured HR re-engagement plan for those closest to the door.

Enterprise-Grade Security

PII masked before transmission. All data encrypted in transit and at rest. Runs on ProHance's secure AWS infrastructure. Fully automated — zero ongoing effort.

📋 Employee-level retention risk table

📊 Disengagement distribution drill-down

RRI's drill-down view breaks disengagement and attrition risk by team, role, project, or location. The employee-level table shows a 12-week behavioral sparkline and a live retention risk flag for each individual — giving managers the precision to act on the right person, not just the right department.

The Business Case

RRI isn't a people analytics feature. It's a financial lever. The difference between acting on a risk signal and missing it plays out in hard cost.

REAL-WORLD EXAMPLE

12,000-employee organisation

1,800

employees — 15% of the workforce — identified in the high-risk category.

25%

of those were predicted to attrite within 6 months.

$1.8M

annual rehiring and training cost savings from preventing attrition for half of that group.

That's before accounting for productivity recovery from medium-risk employees shifted to low-risk.

The multiplier effect

Beyond direct cost

RRI changes how your managers work. Weekly risk scores mean attention goes where it matters — not where it's loudest.

Engaged employees perform better.

Teams with low attrition build faster.

Knowledge stays inside the organisation where it creates value.

Figures based on 40% rehiring and 30% training costs as a proportion of average annual salary. Medium-Risk productivity gains not included.

Built for Every Industry Where Talent is Hard to Hold

RRI adapts to your org structure, workforce dimensions, and intervention workflow.

BPO

Managing high-volume agent attrition.

GCC

Protecting institutional knowledge.

Where specialist talent is scarce.

BFSI

Safeguarding compliance-critical continuity.

Healthcare

Fighting staff burnout.

FAQs

RRI (Retention Risk Index) is an AI/ML-powered attrition prediction tool developed by ProHance. It uses machine learning to analyze employee worktime behavior and identify disengagement and attrition risk in advance, with 70–90% predictive accuracy. It is validated across multiple enterprise datasets of 12,000–16,000+ users. The model demonstrates strong performance on precision, recall, and F1 score metrics.

RRI analyzes seven worktime parameters — logged hours, productive hours, time on system, time away from system, neutral hours, non-productive hours, and absenteeism — using unsupervised ML for disengagement detection and supervised ML trained on historical resignation data for attrition prediction. It runs fully automated on ProHance's AWS cloud infrastructure.

ProHance RRI is used across all industries such as BPO, GCC, IT and technology, BFSI (banking, financial services and insurance), and healthcare industries. It is deployed in 36 countries, serving 200+ enterprise customers with 400,000+ licenses.

Organizations need at least one year of ProHance worktime data and a minimum workforce of 1,500 users — of which 1,000 are currently active and 500 have historical resignation records for model training.

The Teams That Stay Together, Build Faster

See your workforce risk before it becomes a cost.

Your workforce is already sending signals. The question is whether your organization has the tools to hear them early enough to matter.

Request a personalized RRI demo and see risk mapped across your organization — in real time.