AIHR — HR Analytics & People Insights Platform
From gut-feel HR decisions to data-driven people management for a 500-employee company.
Impact
What changed.
Attrition causes identified for the first time
The analytics surfaced that 60% of voluntary turnover was concentrated in two departments under two specific managers — insight that had been invisible in the manual reporting process.
Flight risk early warning enabled proactive retention
HR began intervening with at-risk employees weeks before they reached the resignation decision point — retaining people the business would previously have lost without warning.
HR credibility with leadership improved
Monthly automated reports replaced the quarterly slide deck. Leadership shifted from asking 'why is turnover high?' to discussing specific interventions — because the data to support that conversation now existed.
The challenge
Before
A 500-employee company's HR team was making decisions about hiring, performance, and retention based on intuition and anecdote — not data. Attrition was high but the causes were unknown. Employee engagement surveys were run annually and results were never acted on. HR reporting to leadership was a manually compiled slide deck produced once a quarter. There was no early warning system for disengagement or flight risk.
- HR decisions based on intuition — no analytics or data-driven insight
- Annual engagement surveys with no action tracking or trend analysis
- Quarterly HR report manually compiled by the HR team — always out of date
- No attrition prediction or early warning for flight risk employees
- No visibility on which departments, managers, or roles drove the most turnover
- Performance data siloed in an HRIS with no analytics layer
- No benchmark comparison — leadership had no context for whether metrics were good or bad
The solution
What we built
We built an HR analytics platform that pulls data from the company's HRIS, engagement survey tool, and performance management system into a unified analytics layer. Leadership sees attrition rate by department, tenure band, and manager. An ML-based flight risk model scores employees based on engagement signals, performance trends, and tenure patterns. Engagement survey results are tracked over time with department-level drill-downs. HR reports to leadership are generated automatically on a monthly cadence.
Core workflow connections
How the system flows.
- HRIS Data + Engagement Surveys + Performance RecordsUnified HR Data Layer
- Attrition AnalyticsDepartment BreakdownManager ViewTenure Analysis
- Flight Risk ModelEmployee Risk ScoreHR AlertIntervention Tracking
- Engagement SurveyResponse CollectionTrend AnalysisDepartment Drill-downAction Items
- Monthly HR ReportAuto-generationLeadership DistributionYear-over-year Comparison
Process
How we built it.
HRIS Data + Engagement Surveys + Performance Records → Unified HR Data Layer
Attrition Analytics → Department Breakdown → Manager View → Tenure Analysis
Flight Risk Model → Employee Risk Score → HR Alert → Intervention Tracking
Engagement Survey → Response Collection → Trend Analysis → Department Drill-down → Action Items
Monthly HR Report → Auto-generation → Leadership Distribution → Year-over-year Comparison
Start a project
Need data-driven HR analytics for your growing company?
We build HR analytics platforms and people insights tools for companies that want to understand attrition, engagement, and workforce trends — not just track headcount.
No retainer lock-in · Month-to-month · Full transparency
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