According to a recent LinkedIn post from Solidroad, the company’s platform is being used by Split Pay to quality-assure more than 55,000 customer interactions per month. The post indicates that Split Pay was seeking a scalable way to increase QA coverage, generate reliable reporting, and convert those findings into skills development.
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The company’s LinkedIn post highlights that Solidroad’s tools now automate QA for every conversation and feed those insights into targeted training simulations. This suggests a use case where AI-driven QA is directly linked to agent training, which could strengthen Solidroad’s value proposition in the customer experience and workforce optimization markets.
For investors, the example implies traction with high-volume, tech-oriented clients that face scale and compliance pressures in customer support. If replicated across additional customers, this model could support usage-based revenue growth, higher switching costs, and competitive differentiation versus traditional QA vendors focused mainly on manual scoring.
The post also underscores a broader industry trend of integrating QA, analytics, and training within a unified workflow. Solidroad’s positioning in this segment may enhance its appeal to enterprises seeking measurable improvements in service quality and productivity, potentially improving its long-term pricing power and partnership potential with larger CX platforms.