At a Glance
As campaign volume and velocity increased, the brand faced growing pressure to validate performance quickly. With frequent placement updates and tight optimisation windows, three core hurdles emerged.
Scalable Coverage
Supports 120 to 150 validation checks within a broader framework of ~250 automated rules.
Unified Logic
Established global QC standards for every market.
Operational Focus
Earlier detection allows teams to focus on exceptions, judgement-based review, and delivery quality.
The Challenge
As creative and line-item volumes increased, three issues became clear
01
Manual QA Load
Creative and line-item QA was time-consuming, repetitive, and difficult to scale.
02
Quality Risk at Scale
Manual reviews introduced inconsistency across high campaign volumes.
03
Operational Stress
Skilled teams spent too much time on repetitive, rule-based checks, limiting capacity for higher-value decisions.
The Impact
Moving to AI-powered QA automation modernized how the team operates, creating a more disciplined and scalable approach to quality control.
25% reduction in QA workload (equivalent to ~8 hours of capacity gained per day).
~1,050 hours saved over the past two quarters.
99.6% to 99.9% increase in quality scores even as throughput scaled.
13% QoQ increase in QA volume handled.
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