Cutting costs by 45% and achieving 99.99% uptime for a major US mortgage servicer with AWS
Client profile
Customer since – 2025
Number of employees – approx. 1k
Sector – Financial Services
A large US mortgage servicer faced a set of familiar challenges: legacy infrastructure that constrained cost efficiency, scalability, and speed.
- Cost — On‑premise infrastructure required year‑round payment for peak capacity, with hardware and administrative overheads pushing costs toward £500k.
- Scalability — Volume spikes caused batch jobs to overrun, slowed payment processing, and required slow hardware procurement cycles to scale.
- Speed — Quarterly deployment windows meant product teams waited months to release updates while competitors delivered changes rapidly.
Version 1 was selected to modernise the platform, reducing cost while improving reliability.
Implementing a cloud native managed service solution
We re‑architected the platform using a cloud‑native, managed service model—allowing teams to focus on customer‑facing enhancements instead of their infrastructure
We right‑sizing workloads across AWS services including Lambda, Fargate, RDS, SQS, and EventBridge, enabling the customer to gain better performance, control, and compliance.
Delivering measurable bottom line benefits for the customer
The solution turned the challenges of cost, scalability and speed into competitive advantages:
- Cost – Infrastructure costs were reduced to £275k, a 45% reduction.
- Scalability – Automated scaling removed capacity constraints and enabled the business to meet demand without disruption.
- Speed – Moving to a fully automated deployment pipeline turned quarterly releases into small, frequent changes. Features are now launched when they’re ready and not tied to long term release cycles.
The new solution has transformed availability from “good enough most of the time” to 99.99% or under an hour of downtime a year and ensured that their infrastructure has changed from an inhibitor to a competitive advantage.