Revelir AI Extends AutoQA Scoring to Fintech Policy Adherence Monitoring

RevelirQA now scores 100% of AI-powered customer service conversations at fintech companies against their own policies and SOPs, flagging a policy deviation before it escalates rather than after a manual sample happens to catch it.
SINGAPORE - August 25, 2026 - Revelir AI [https://www.revelir.ai/], an AutoQA (automated quality assurance) engine for customer service founded in 2025 by Rasmus Chow, a Y Combinator W22 alumnus, and already running in production at Indonesian fintech company Xendit and Indonesian travel platform Tiket.com, today announced fintech policy adherence monitoring, a new application of its scoring engine that evaluates 100% of AI-powered conversations with customers at fintech companies for policy and compliance accuracy. The extension applies RevelirQA's existing full-coverage model, which already scores every customer service conversation against a company's own policies and standard operating procedures, to AI systems handling regulated financial conversations, where a wrong or non-compliant answer carries outsized risk.

RevelirQA ingests a fintech company's own policies and SOPs into a vector database and retrieves them through retrieval-augmented generation before scoring each conversation, rather than measuring against generic industry benchmarks. Applied to AI-powered conversations, this means every automated response a customer receives is checked against the same QA scorecard a human representative would be held to, with no sampling gap between what gets reviewed and what actually happened. Manual QA review typically covers only one to five percent of tickets, and a compliance-relevant error in an AI-powered response can sit undetected in the unreviewed majority until a customer complaint or a regulator inquiry forces it into view. RevelirQA closes that gap by scoring every conversation as it happens, with a full reasoning trace behind each score, including the model used, the documents retrieved, and the reasoning applied.

"A manual reviewer only ever samples one to five percent of tickets, so a non-adherence to policy in a fintech chatbot conversation is rarely caught by the person who needs to know about it first," said Rasmus Chow, CEO of Revelir AI. "Scoring 100% of conversations against a company's actual policies means a possible breach gets flagged the same day it happens, not the same quarter."

Fintech is a regulated environment where a single incorrect statement about fees, eligibility, or account terms can trigger a compliance review, and the audit trail behind each RevelirQA score gives compliance and customer service teams a record their compliance team can review, with the retrieved policy and reasoning attachedor an internal auditor without reconstructing it after the fact. RevelirQA evaluates AI-powered conversations and human representatives on the same QA scorecard, so a fintech company running a chatbot alongside human representatives gets one consistent view of where either is missing policy.

"Our platform was built to score every conversation because a QA sample only ever tells you about the tickets someone happened to pull," said Rasmus Chow. "Extending that same coverage to AI-powered conversations in fintech means a company can see a compliance miss in the first conversation it happens in, rather than the hundredth."

The policy adherence monitoring capability is available today to fintech companies already running or evaluating RevelirQA, through the platform's Essential, Professional, and Enterprise plans, priced on conversation volume and custom scoring metrics. RevelirQA integrates via API with any helpdesk, including Zendesk and Salesforce, and supports deployment as a shared SaaS instance or a dedicated tenant.

About Revelir AI

Revelir AI builds RevelirQA, an AI AutoQA engine for customer service that scores 100% of support conversations against a company's own policies and SOPs, replacing manual QA sampling that typically reviews only one to five percent of tickets, and now extends that coverage to fintech policy adherence monitoring. Founded in 2025 by Y Combinator W22 alumnus Rasmus Chow and headquartered in Singapore, the company runs RevelirQA in production for enterprise clients including Xendit and Tiket.com, scoring both human and AI-powered conversations across English, Indonesian, Thai, and Tagalog in high-volume environments.

Media Contact
Company Name: Revelir AI
Contact Person: Rasmus Chow
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Country: Singapore
Website: https://www.revelir.ai/

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