Ring saves 67% on engineering resources and accelerates time-to-market by 1.5 months, with Sentinel

The challenge
  • The business rules multiplied over time, buried under layers of code from various developers, making change management lengthy and frustrating
  • 70% of Ring’s most valuable resources (data science & engineering) were tied up in operational tasks, limiting innovation.
  • Limited visibility into digital lending operations, making it challenging to debug flaws in credit policies.
Key results
Kissht
90% Reduction in turnaround time for policy changes
67% Savings on engineering resources
1.5 months were saved in getting LAP offering to market, well ahead of schedule.
How Sentinel addressed these challenges Sentinel visual workflow and advanced dashboards made Ring’s entire decisioning architecture visualisable, synthesisable, and debuggable
  • Credit teams could now access Sentinel (via Role-Based Access Control and Single Sign-On) to perform the following tasks without IT involvement:
    • Create policies/workflows
    • Test policies at the rule-level, workflow-level, or bulk-level using historical data
    • Deploy policies in either of three modes: Full rollout, Champion/Challenger or Canary mode)
    • Monitor what’s going on in real time and identify logical flaws in decisioning
    • Analyse policies at the granular level
  • Credit teams can now design and implement customised borrower experiences and loan offers tailored to individual risk profiles, using a user-friendly drag-and-drop interface.
  • With access to funnel-level analytics, credit teams could optimise workflows to reject customers early in the onboarding process, reducing downstream costs and enhancing borrower experience.
Key results
Kissht
90% Reduction in turnaround time for policy changes
67% Savings on engineering resources
1.5 months were saved in getting LAP offering to market, well ahead of schedule.