Revelir AI introduced the launch of RevelirQA, an AI-powered automated high quality assurance engine that evaluates one hundred pc of buyer help conversations, eliminating the necessity for handbook sampling in most workflows. RevelirQA is already deployed with enterprise purchasers together with Xendit and Tiket.com, two of Southeast Asia’s largest fintech and journey platforms. Revelir AI was based by Y Combinator alumnus Rasmus Chow in 2025.
“We’re at the moment processing tens of hundreds of tickets per week for our enterprise purchasers, with infrastructure designed to scale to hundreds of thousands,” mentioned Rasmus Chow, Founding father of Revelir AI. “QA groups usually evaluate one to 5 % of tickets. That leaves most buyer interactions unexamined. We constructed RevelirQA to shut that hole utterly.”
RevelirQA is designed to run the total QA workflow finish to finish. The system reads every dialog in full, makes use of Retrieval-Augmented Technology (RAG) to retrieve related SOPs and inside insurance policies, scores the interplay towards the corporate’s personal QA rubric, and produces a written analysis with cited reasoning.
Groups proceed to manually evaluate the tickets that matter most, whereas RevelirQA evaluates the remainder, extending QA protection throughout all conversations.
Fixing the QA Sampling Downside
The AI customer support market is projected to succeed in $83.8 billion by 2033, in keeping with Grand View Analysis, pushed partially by the necessity to automate labor-intensive processes like high quality assurance.
Additionally Learn: AiThority Interview with Glenn Jocher, Founder & CEO, Ultralytics
Guide QA has traditionally relied on small samples of tickets, limiting visibility into total help high quality. As help operations scale, high quality assurance stays some of the handbook and resource-intensive features. RevelirQA targets this hole by automating analysis throughout each buyer interplay.
The system evaluates each human brokers and AI chatbots beneath the identical rubric, giving CX leaders a unified view of high quality throughout their help operations.
Traceability for Regulated Industries
For compliance-sensitive environments comparable to fintech and journey, auditability is a core requirement. RevelirQA addresses this by grounding each analysis in an organization’s personal information base, offering a full reasoning hint for each rating. This permits groups to audit and confirm results-including the precise supply paperwork and inputs used-rather than counting on black-box AI outputs.
“A resolved ticket doesn’t at all times imply a glad buyer,” Rasmus added. “We monitor how sentiment modifications throughout a dialog, which helps floor instances the place points are resolved however clients nonetheless depart pissed off.”
Revelir AI integrates with helpdesk platforms together with Zendesk and Salesforce through API. The platform additionally helps Mannequin Context Protocol (MCP) integration with Claude, permitting groups to question help knowledge in plain English and hint outcomes again to actual conversations.
Additionally Learn: The Infrastructure Warfare Behind the AI Increase
[To share your insights with us, please write to psen@itechseries.com]
