HRTech // Client Project

Career Mobility:
5,000 Clear Progression Paths.

We built a practical HRTech solution combining AI-powered skill extraction, graph-based mobility system, and auditable mobility logs. The project delivered 22% Attrition Reduction and 45% Internal Fill Rate.

Key Results RESULTS
22%
Attrition Reduction
Valuable Roles
45%
Internal Fill Rate
ROI: 14 Weeks
Sub-2s
Query Response time
Ready to Grow

Trusted by teams building ambitious products

What We Set Out to Improve.

Industry
HRTech

A distributed workforce of 5,000+ across 12 regions with disconnected skill visibility.

How We Worked
Dedicated product team

AI Architect + Graph Data Engineer + UX Strategist embedded within People Ops.

Goal
Retention Intelligence

Moving from Post-and-Pray internal hiring to early, AI-powered career pathing.

What We Built
Skill Intelligence Platform

A practical solution designed around the client’s existing tools, teams, and day-to-day workflow.

What Was Getting in the Way.

The client relied on static resume snapshots and yearly performance reviews to identify internal candidates. This Snapshot Bias meant that 60% of technical employees felt their skills were underused, leading them to seek external opportunities.

The biggest issues were knowledge drain, recruitment over-spend, and skill decay. The team needed a faster, clearer way to manage the work while keeping the right checks in place.

Knowledge Drain
High-tenure engineers leaving due to lack of growth visibility, taking critical system design context with them.
Recruitment Over-Spend
Excessive agency fees for roles that had 80% skill-match overlap with current internal staff.
Skill Decay
Rapidly evolving tech stacks making static HR profiles obsolete within 6 months of hire.
The Solution

What We Built.

01
AI-powered Skill Extraction
Introduced automated agents to process project commits, Jira data, and feedback logs to extract living skill data beyond the resume.
Key details
Model AI Assisted
Language AI Entity Extraction
Data Multi Source
02
Graph-Based Mobility System
Built a Neo4j-powered skill graph that maps adjacencies (e.g., Python to Data Eng) to predict successful internal transitions.
Key details
DB Neo4j Cluster
Logic Graph Traversal
System Ready to Grow
03
Auditable Mobility Logs
Every career recommendation is logged with a Match-Reason code, ensuring HR compliance and preventing algorithmic bias.
Key details
Compliance Secure by Design
Transparency Traceable Data
Security Encryption At Rest
Before and After

How the Workflow Improved.

Area
Before
After
Skill Model

Fixed Taxonomy

Rigid dropdowns that failed to capture cross-functional or emerging technologies.

Fluid Ontology

Dynamic relationship mapping that evolves based on real-world work output.

Controls

Manual Bias

Internal hiring dependent on manager favorites and visibility separate systems.

Verified Opportunity

Data-driven matching with full audit trails ensuring merit-based mobility.

Update Loop

Annual Review

Skill data updated once a year, making it permanently out of date.

Live Sync

Automatic updates triggered by project completion and peer validations.

Key Features

What Made the Solution Useful.

Live Updates

Live Skill Refresh

The system monitors Slack, Github, and Jira events to update employee profiles automatically as they work.

Business impact
Zero Manual Updates
Traceable Data

Bias-Resistant Matching

Anonymized skill-matching ensures diversity in candidate workflows by removing demograpatient health informationc data from initial prioritization.

Business impact
100% DEI Compliance
AI Assisted

Predictive Pathfinding

Agents earlyly alert employees to internal roles that match their trajectory before they start browsing LinkedIn.

Business impact
22% Attrition Drop
Faster Delivery

How We Reduced Build Time.

Tested foundations helped the team spend less time on setup and more time on the parts that made this product useful.

What accelerated the work

4 reusable building blocks
01

Graph Data Collection Module

A tested starting point for graph data collection module reduced repeated setup work.

02

Skill Extraction Module

Reusable work for skill extraction module let the team focus more time on the client’s specific needs.

03

Mobility Monitoring Platform

This made it easier to add mobility monitoring platform without rebuilding common foundations.

04

ROI Safety controls

A tested starting point for roi safety controls reduced repeated setup work.

Results

The Business Difference.

A straightforward before-and-after view of what changed for the team and their customers.

RESULT: RETENTION01

Turnover Reduction

Employees with clear mobility paths showed significantly higher tenure in high-risk engineering departments.

Older AttritionHigh
Coretus Paths22% Lower
Outcome22% Turnover Drop
RESULT: RECRUITMENT02

Internal Fill Rate

Increased visibility allowed the business to fill complex roles from within, saving millions in agency fees.

Manual Fill12%
Graph Match45%
Outcome45% Internal Fill Rate
RESULT: SEARCH Response time03

Recommendation Speed

Optimized graph queries provide near-instant matching for managers looking to staff new projects.

Target< 5s
Coretus Platform1.8s
Outcome1.8s Query Speed
Results22% Turnover Drop • 45% Internal Fill Rate
Trust and Control

How We Kept It Safe and Reliable.

01
Data Privacy
All project data collection workflows use strict personal information masking to ensure feedback remains confidential.
Business SECURE
02
Algorithm Fairness
Secure and traceable reason-trails allow for third-party auditing of mobility recommendations to prevent bias.
VERIFIABLE DATA
03
System Scale
Cloud-based graph clusters ensure 99.9% uptime during global traffic spikes.
Ready to Grow
04
Code and IP Ownership
Coretus provides 100% ownership of the skill-ontology and custom pathfinding logic.
100% OWNED
Client Testimonial

In their own words.

Coretus didn't just give us a dashboard. they built a mobility platform that revealed the hidden potential of our own staff. We stopped losing our best people because they can now see their next five years within the company.

Reveal your Invisible Talent.

Have a similar challenge? We can help you plan and build a practical HRTech solution around your goals, budget, and existing systems.

Neo4j Graph Automation

AI-powered Skill Extraction

100% Internal IP Ownership