Customer Story · Software and AI
896 savings actions across 25 cloud accounts — in under three weeks, read-only
A ~110-person venture-backed data-platform SaaS company headquartered in Montréal, running production workloads across AWS, Google Cloud, and Azure for three business units.
Venture-backed SaaSAWS · Google Cloud · AzureMontréal
Why software and AI
SaaS margins live or die on infrastructure cost per customer.
The accounts that host customer workloads flow straight into COGS. Years of product growth and independently-run business units leave engineering teams with cloud sprawl across providers — and no bandwidth to untangle it without slowing delivery. Jetscale connects read-only across every account and business unit, separates COGS from internal spend automatically, and ships prioritized, dollar-quantified recommendations your team can execute without a dedicated FinOps hire.
Key metrics
The numbers at a glance.
The challenge
25 accounts, three providers, zero bandwidth to fix it.
Years of product growth left the engineering organization with 25 cloud accounts spread across three providers and three business units — including a customer-hosting unit whose cloud bill lands directly in COGS. No one owned cost end-to-end, and the DevOps team had no bandwidth for optimization work on top of delivery.
What Jetscale AI did
Read-only across every provider, roadmapped per business unit.
Read-only connection to all 25 accounts — no agents, no code changes, no production risk.
Automated discovery and mapping of 2,515 resources, organized by business unit so COGS and internal spend were finally separable.
AI-driven analysis produced 896 prioritized recommendations — rightsizing, storage lifecycle, idle non-production workloads, and commitment coverage — each with the exact resource, action, and dollar impact.
Delivered as two per-business-unit optimization roadmaps the team could execute incrementally.
Results overview
From 25 disconnected accounts to two executable roadmaps.
Results in details
What the engineering team and finance got out of it.
$300K+ per year in savings identified — roughly 20–25% of the spend analyzed to date, with one full business unit (Azure) still to be analyzed and commitment-pricing optimization still ahead.
COGS visibility: the customer-hosting unit's cloud cost is now tracked separately, connecting optimization directly to gross margin.
~37 tonnes CO2e/yr of estimated emissions-reduction potential alongside the cost savings.
Zero engineering disruption: everything ran on read-only access.
Details anonymized at the customer's request. Figures from the delivered engagement, 2026.
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