How Umbrellar Elevated Its Cloud Optimisation with Spotto.ai
An always-on optimisation layer that surfaces Azure savings in days instead of weeks, giving Umbrellar's engineers more time for the advisory work customers actually feel.
Umbrellar Technology Group is one of New Zealand's leading managed services providers, supporting organisations across compute, private and public cloud. Cloud optimisation has always sat at the heart of that work, delivered through FinOps discipline and Well-Architected Framework (WAF) assessments that keep customer environments efficient across cost, performance, reliability, and security.
The question for a forward-thinking MSP was how to do it even better. How do you surface insights faster, act on them sooner, and deliver optimisation continuously across every customer environment rather than in periodic reviews?
To answer it, Umbrellar partnered with Spotto.ai to add a proactive, always-on optimisation layer on top of an already strong delivery model. Spotto continuously scans Azure estates and surfaces live, actionable recommendations across cost, performance, reliability, and security, delivered straight into the tools Umbrellar's engineers already use.
The effect has been to amplify Umbrellar's expertise. Engineers spend less time on manual discovery and more time on advisory, prioritisation, and execution, the high-value work customers notice. In a single managed services customer environment, Spotto-accelerated WAF assessments identified around $6.4k to $10.3k USD a month in targeted optimisation actions, and roughly $120k to $280k NZD a year in savings across compute, storage, and orphaned resources.
This case study explores how a strong human delivery model and an always-on optimisation platform combine to make proactive managed services faster, more consistent, and more measurable.
What the case study covers:
Why a high-performing MSP with mature FinOps discipline still asked "how do we do this even better?"
How Spotto.ai adds a continuous, always-on optimisation layer across cost, performance, reliability, and security
The savings identified in a single customer environment: up to $10.3k USD a month and $280k NZD a year
How optimisation insights now surface in days rather than weeks, replacing periodic reviews with proactive, data-backed customer conversations
How Spotto integrates into existing engineering workflows, freeing engineers for advisory and execution instead of manual discovery
Why continuous optimisation embedded into BAU builds a platform customers can trust across every managed environment