Platform · Analytics & retention models

Stop reacting to turnover. Start predicting it.

AI-driven workforce analytics that turn the signals you're already sitting on into the decisions you wish you'd made earlier — retention plays, mobility moves, capability investments, and where to act first.

The cost of reactive HR

Stale data costs you talent, time, and money — usually in that order.

$50K+

Cost per departure

Replacing a mid-level employee costs anywhere from one-half to two times their annual salary — before you factor in lost institutional knowledge, team disruption, and the months a replacement takes to reach full productivity.

Source: Gallup State of the Global Workplace, 2024

78%

Voluntary exits preventable

Most voluntary departures could have been prevented with earlier intervention. Most organisations don't have the signal in time — they see the resignation letter, not the months of drift that led to it.

Source: Work Institute Retention Report

<20%

Internal mobility blind spot

Fewer than one in five organisations effectively move talent to fill skill gaps. The qualified internal candidate is often already on staff — just unseen.

Source: Gartner HR Research, 2024

What workforce analytics looks like when it's actually built for action

Four capabilities, designed to turn workforce data into the decisions your leadership team is already trying to make.

Real-time workforce analytics

Live dashboards showing retention risk scores, engagement trends, capability gaps, and team-level patterns across your organisation. Refreshed continuously, not quarterly.

Retention & flight-risk modelling

Predictive models that combine motivation drift, role-fit decay, and values misalignment into early warning signals — so you act on a leaver in March, not after they hand notice in October.

Actionable recommendations

Personalised development pathways, internal mobility suggestions, succession candidates, and retention plays — tied to the people who actually need them, not generic HR plays.

Integrated decision layer

Analytics that hook directly into hiring, development, and retention workflows — not isolated dashboards that sit in a corner of the BI stack and get opened twice a quarter.

From signal to decision in three layers

Analytics that ends in a chart isn't analytics — it's a screensaver. Every Epitome dashboard ends with a recommended action.

01

Capture multi-dimensional signal

Skills, psychometrics, values, motivation, and role-fit data feed into the analytics engine — not just self-reported engagement scores.

02

Model the patterns that predict outcomes

Retention risk, growth trajectory, internal mobility likelihood, and capability gap — modelled against the patterns we've seen across 1.3M+ profiles.

03

Surface the action, not just the chart

Every dashboard ends with a 'so what' — a recommended next move tied to a specific person, team, or programme.

What the analytics has unlocked in practice

Three engagements where the difference between reactive and predictive showed up on the balance sheet.

87%

Internal match rate

A regional aviation group used Epitome's analytics to redeploy 3,000 employees during a major restructure — surfacing internal fit at a level no traditional HRIS could see.

40%

Low capability readiness

A state-wide industry capability assessment surfaced that 40% of the workforce had low readiness against future-state demands — enabling targeted upskilling investment before the gap became a crisis.

25%

Hidden development gaps

Across high-growth tech firms, profiling surfaced gaps in one in four employees that skills-only assessments had missed — replacing generic L&D budgets with targeted development plans.

Workforce optimisation powered by whole-person intelligence.

Stop reacting. Start predicting.

Bring predictive workforce analytics into your retention, mobility, and capability decisions — backed by the same multi-dimensional signal that powers every other Epitome decision.