Enterprise Cloud, Platform & AI Engineering
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CASE STUDIES

Enterprise engineering outcomes, measured.

How we have helped organizations modernize delivery, cut cloud spend, improve reliability, and automate service operations.

85%
cloud cost reduction
12×
deployment frequency
79%
faster incident resolution
60%
of service requests automated
CLIENT OUTCOMES

Measured results from real engagements.

Client names are withheld under confidentiality agreements. Figures compare the agreed baseline with results measured at handover.

FinOps & cloud cost
SaaS & technology

Reducing cloud spend by 85% with a FinOps operating model

A cost assessment and targeted optimization program removed idle capacity, right-sized workloads, and gave engineering and finance a shared view of spend.

85%
reduction in monthly cloud spend
96%
of spend allocated to an owner, up from 30%
78%
commitment coverage on steady workloads
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Platform engineering
Financial services

Standardizing CI/CD and developer self-service on AWS

A shared delivery platform built on GitHub Actions, Argo CD, and Backstage replaced team-by-team pipelines across a growing microservice estate.

12×
more frequent production deployments
4 hrs
lead time for changes, down from 5 days
67%
lower change failure rate
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Observability
Retail & e-commerce

Full-stack Kubernetes observability with New Relic and Datadog

Unified metrics, traces, and logs across production clusters gave on-call engineers the context to detect and resolve incidents in minutes instead of hours.

79%
faster mean time to resolve
5 min
mean time to detect, down from 45
70%
less alert noise
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ServiceNow
Healthcare

Automating high-volume service requests in ServiceNow

Redesigned request and approval workflows with automated fulfillment cut manual effort and gave employees a faster, more predictable service experience.

60%
of requests fulfilled automatically
85%
faster request fulfillment
2,400 hrs
of manual effort saved per year
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Cloud & DevOps
Insurance

Infrastructure automation with Terraform delivery pipelines

Moving infrastructure into version-controlled Terraform with automated plan, review, and apply pipelines made changes faster, auditable, and repeatable.

95%
faster environment provisioning
100%
of infrastructure changes peer-reviewed
90%
fewer configuration drift incidents
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