Professional Services · Multi-Customer Managed Services
Service Levels Held at 98% While the Customer Base Kept Growing
A Big 4 global consulting firm ran a large, multi-customer enterprise estate with distributed delivery teams and no standardized operating model. We standardized delivery with dedicated offshore PODs: small, owned teams spanning IT Service Management (ITSM), HR Service Delivery (HRSD), customer service and asset management. Compliance with service level agreements (SLA) held at 98%.
$100K-150K+Estimated delivery time released each year
98%SLA compliance sustained
35%Ticket backlog reductionThe Challenge
Scaling consistent managed services across many enterprise customers required one common way to collaborate, manage releases and govern delivery. The provider did not have one. Delivery teams were distributed with no standardized operating model, so every new customer added complexity rather than scale. Growing the customer base without a standard model meant every new account made things harder, not easier. The business needed more delivery capacity and more consistency, without a matching rise in overhead. Left alone, the cost of growth would have landed on the delivery teams and then on SLA performance.
What We Did
We stood up dedicated offshore PODs, small owned delivery teams spanning ITSM, IT Operations Management (ITOM), HRSD, customer service and asset management. Each POD handles resolution, enhancements and integrations for its scope, which gave the provider one operating model instead of a different arrangement per customer. We configured Slack for real-time alerts and incident notifications across delivery teams, and synced work items and release tracking between ServiceNow and Azure DevOps for full visibility. On top of that we applied AI-assisted incident insights to monitor trends across the managed environments.
The Solution
Dedicated offshore PODs deliver resolution, enhancements and integrations across the estate on one operating model. Slack carries real-time alerts, ServiceNow and Azure DevOps stay in sync on work items and releases, and AI-assisted insights track incident trends.
The Outcome
SLA compliance held at 98%, cases resolved 30% faster and ticket backlog fell 35%, with no added headcount. The 2,000 to 2,500 hours a year that used to disappear into rework and slow resolution now absorb the growth, an estimated $100K to $150K+ of delivery time the provider did not have to hire for. The headline is consistency: 98% SLA held across every customer, even as the estate grew. The capacity that used to go into rework and repeated coordination now supports a larger customer base, so growth stopped meaning a proportional rise in overhead.
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Scaling managed services across more customers than your model can absorb?
Noblq runs ServiceNow as a service, not a project. We take ownership of the platform, keep it healthy, and keep extending it as your business changes, with the same team after go-live as before it. You get a partner who knows the estate, not a handover document.