Revelir AI Launches Automated QA Engine, Secures Xendit and Tiket.com as Enterprise Clients

Why It Matters

Full‑coverage automated QA cuts labor costs, boosts compliance, and gives CX leaders real‑time insight into support quality across regulated sectors.

Key Takeaways

• RevelirQA evaluates 100% of tickets, replacing manual sampling.
• Xendit and Tiket.com adopt engine for fintech and travel support.
• System uses RAG to align conversations with SOPs and policies.
• Provides traceable audit logs for regulated fintech and travel sectors.
• Scalable architecture processes tens of thousands tickets weekly.

Pulse Analysis

The customer‑service industry has long wrestled with the paradox of scaling support while maintaining quality. Traditional QA teams review only a small slice—typically one to five percent—of tickets, leaving blind spots that can erode brand reputation. As enterprises adopt AI chatbots and omnichannel platforms, the volume of interactions has exploded, creating a market ripe for automation. Analysts at Grand View Research forecast the AI‑enabled support segment to surpass $83.8 billion by 2033, driven largely by the need to replace labor‑intensive quality checks with intelligent, cost‑effective alternatives.

RevelirQA tackles this challenge with a multi‑layered architecture that combines Retrieval‑Augmented Generation (RAG) and a proprietary rubric engine. By ingesting a company’s SOPs, policy documents, and historical resolutions, the system can retrieve relevant guidance in real time, score each conversation, and produce a written assessment complete with citation trails. This traceability is especially valuable for regulated industries such as fintech and travel, where auditors demand evidence of compliance. Integration with major help‑desk platforms like Zendesk and Salesforce, plus support for Model Context Protocol with Claude, ensures that the engine slots seamlessly into existing workflows while offering a unified view of both human and AI‑driven support.

The early adoption by Xendit and Tiket.com signals strong market validation. Both firms handle high‑volume, compliance‑sensitive interactions, and RevelirQA’s ability to process tens of thousands of tickets weekly promises significant operational savings and risk mitigation. As more enterprises recognize the hidden costs of partial QA, the demand for end‑to‑end automated evaluation is likely to accelerate, positioning Revelir AI as a potential standard‑bearer in the next wave of customer‑experience technology.