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.

work-img

Outcome Snapshot

60%

of the hiring lifecycle automated

634

hiring companies active on the platform

2

branded experiences served from one shared platform

3+

years of continuous partnership

Screenshot of a platform feature built by Systango

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  • An outdated experience: the UI/UX no longer reflected the product's ambitions or competed with modern hiring tools.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.
Dashboard view of the platform developed by Systango

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
Close-up of the platform interface delivered by Systango

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 hiring, saving teams at least 50% of their hiring time

Enabled

a significant new partnership, a direct result of the platform's maturity and reliability

Sustained

a multi-year partnership, with 1,259 candidates hired through the platform last year

Build Facts

Focus

Brownfield Platform Modernisation

Predictive Candidate Scoring

Dual-Brand Architecture

Cloud Migration

Platform & Services

ReactJS

Django

AWS

Elasticsearch

Solution / System Architecture

Frontend Engineering & UI/UX Design

QA

Industries

HR Tech

Enterprise & SaaS Platforms

Let’s talk, no strings attached.

GET IN TOUCH