Platform AssureLens AccioLens UXLens App Monitoring Industries Energy & Industry Financial Services Retail & eCommerce SMB - Small & Mid-Sized Business Company About Us Team Blog In the News Careers Contact Us Build your AI Blueprint Español
Industry · CONSTRUCTION & ENGINEERINGFunction · Workforce
UC-220

Workforce Retention & Capacity Planning

Scores attrition risk with drivers for billable staff and plans hiring and skills against forecast pipeline demand.

TBDBuild Duration
XXXXIndicative ROI
XXXXBuild Cost
XXXXValue

The Challenge

Engineer attrition runs ~5% in year one and ~20% beyond - ~2,400 leavers across 12,000 staff - while skills demand outpaces supply 3:1. Retention today is driven by exit interviews, after the fact.

How It Works

  • Ingests HR records, utilisation history and engagement-survey signals.
  • ML attrition-risk modelling plus a skills-to-pipeline capacity optimiser.
  • Delivers manager-facing risk scores, retention actions and a hiring plan.

What It Removes

  • Reactive exit-interview retention
  • Headcount plans detached from pipeline
  • Premium contractor backfill
Input Data RequirementsHR records - tenure, grade, pay band (Oracle HCM), utilisation history, engagement signals, pipeline demand and skills matrix
Output FormatAttrition-risk scores with drivers, targeted retention recommendations, skills-gap and hiring plan, capacity scenarios
“It spots which key people are at risk of leaving in time to do something about it - and plans hiring around the real pipeline.”
SwarmLens · Public Use-Case Library

← Back to all use cases