Modernizing QA Governance for ServiceNow Excellence
When Nobody Agrees on How to Test, Nobody Agrees on What’s Ready.
Six thousand employees. National operations. Regional offices coast to coast. A ServiceNow platform that was supposed to be reliable, repeatable, and ready to support the business.
The QA process holding it together was none of those things.
Testing was manual. UAT was time-consuming and inconsistently run. Business teams and technical teams weren’t coordinating well — which meant releases were unpredictable, outcomes varied, and confidence in what was actually going out the door was lower than it should have been.
For a Canadian insurance and financial services organization, “inconsistent release reliability” is not a tolerable condition. These aren’t hypothetical stakes. When the platform misbehaves, real people and real services feel it.
Something had to be fixed. And it wasn’t a technology problem.
“Testing was manual. UAT was time-consuming and inconsistently run. Confidence in what was going out the door was lower than it should have been.”
The Fix
Coreio placed an experienced QA Lead directly inside the engagement — not to audit and recommend, but to roll up their sleeves and rebuild the process from the inside.
The existing QA approach got reworked from the ground up. Agile and Scrum-based methodologies replaced the informal, ad-hoc testing practices that had accumulated over time. Test strategies were developed specifically for complex catalog items and REST API integrations — the areas where inconsistency was doing the most damage.
UAT coordination got structured. Stakeholder groups that had been operating independently were brought into a unified process with clear ownership, clear checkpoints, and clear criteria for what “done” actually means.
Then came the knowledge transfer. The goal wasn’t dependency — it was capability. The client’s team left the engagement with embedded best practices they could own and extend without outside help.
| How the Work Was Structured | |
|---|---|
| QA Process Rebuild | Standardized testing practices across the full platform |
| Methodology | Agile and Scrum-based QA introduced and embedded |
| UAT Leadership | Coordinated across business and technical stakeholder groups |
| Test Strategy | Developed for catalog items and REST API integrations |
| Knowledge Transfer | Long-term best practices embedded in the client team |
The Outcome
Testing time dropped 40%. That number matters not just as a headline but as a signal — it means the process got tighter, not just faster. Streamlined test planning and better UAT execution across stakeholders compresses the cycle without skipping steps.
Governance is standardized now. Structured Agile processes mean repeatability, coverage, and traceability are consistent across releases — not dependent on who happens to be running the test that week.
Release reliability improved. API integrations and catalog items that used to introduce uncertainty now have documented, repeatable test strategies behind them.
And the client recognized the work publicly. That’s not a throwaway detail. In QA, where the best outcome is often “nothing went wrong,” earning visible recognition means something went right.
| The Outcomes | |
|---|---|
| 40% Reduction in Testing Time | Streamlined planning and improved UAT execution across stakeholder groups |
| Standardized QA Governance | Agile-based processes with repeatability, coverage, and traceability |
| Improved Release Reliability | Formalized test strategies for catalog items and API integrations |
| Client-Recognized Leadership | Acknowledged best practice implementation and collaboration |
“In QA, the best outcome is often ‘nothing went wrong.’ Earning visible recognition means something went very right.”
Six thousand employees. A platform that needed to be trustworthy. A QA process that finally is.
Stay Connected and Sign Up for Communications
