Turning a Brownfield Hiring Platform Into a Predictive AI Product
A brownfield applicant tracking platform, stabilised and rebuilt into an AI-powered hiring product that predicts top performers before a single interview takes place.
Outcome Snapshot
60%
of the hiring lifecycle automated
4
predictive signals combined into every candidate score
2
branded experiences served from one shared platform
3+
years of continuous partnership
Client
A SaaS applicant tracking system (ATS) provider serving contractors and home services businesses. The company had acquired the platform several years prior, inheriting a brownfield codebase with significant technical debt.
Challenge
- Inherited technical debt: the platform suffered from limited functionality, widespread bugs, and poor stability, with an architecture that couldn't scale.
- An outdated experience: the UI/UX no longer reflected the product's ambitions or competed with modern hiring tools.
- Dual-brand complexity: the roadmap called for two distinct branded experiences running off one shared backend, without duplicating engineering effort.
- Scaling without breaking trust: customers were live on the platform throughout, leaving no room for instability during the rebuild.
Objectives
- Stabilise the platform and resolve widespread inherited bugs
- Modernise the UI/UX to modern SaaS standards
- Build a predictive candidate scoring engine covering role fit, experience, readiness, and interview performance
- Deliver video interviewing and automated candidate outreach
- Migrate infrastructure to the cloud for reliability and scalability
- Support two distinct branded experiences from a single backend
What We Built
-
Platform stabilisation - resolved widespread bugs and completed previously abandoned or partial feature implementations.
-
A modern UI/UX - redesigned the entire interface and experience to meet current SaaS standards.
-
A predictive scoring engine - combining role potential, experience, readiness, and interview performance into a single candidate score.
-
Automated hiring workflows - video interviewing, candidate outreach, and job ad generation, automating a large share of the hiring lifecycle.
-
Cloud infrastructure migration - moved to AWS for improved reliability, scalability, and cost efficiency, with integrations across payments, CRM, and messaging.
-
A dual-brand architecture - two distinct branded frontends served from one shared backend, with clean data and permission separation.
Impact
Transformed
an unstable, bug-ridden platform into a fully cloud-native, SaaS-ready hiring product.
Automated
up to 60% of the hiring lifecycle, from job creation through candidate assessment.
Enabled
a significant new partnership as a direct result of the platform's improved maturity and reliabilit
Sustained
a multi-year partnership, with continued platform evolution and new feature development.
Build Facts
Platform
Web App (ReactJS)
Cloud Backend (AWS, Django)
Analytics (Elasticsearch)
Focus
Brownfield Platform Modernisation
Predictive Candidate Scoring
Dual-Brand Architecture
Cloud Migration
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