Manual QA reviews 1 to 5% of tickets. RevelirQA scores 100%, automatically, against your own policies.
No sampling. No blind spots. No extra headcount.
Sample 3% of tickets and 97% of conversations never get reviewed. Agents misquoting refund windows, skipping required disclosures, or taking wrong escalation paths can continue for weeks before a sample picks it up.
Three problems make sampling unreliable:
RevelirQA ingests your QA rubric, SOPs, and knowledge base. Before scoring each ticket, it retrieves the policies for that contact reason and evaluates the agent's response against your actual standards, not a generic benchmark.
Retrieves your SOPs via RAG before every evaluation. Catches accuracy errors that generic rubrics miss.
100% coverage
Every ticket scored as it closes. No queue, no analyst bottleneck.
Same rubric for chatbot and human conversations. One dashboard, directly comparable scores.
Full audit trail
Every score includes the model, prompt, documents retrieved, and reasoning. On every evaluation.
Custom metrics
Binary, multi-option, or scored criteria. Configurable per team and per contact reason.
Coaching view
Shows exactly where and why agents miss policy. Specific enough to act on immediately.
When scoring runs automatically, the QA team stops reviewing conversations and starts acting on what the data shows.
"We have manually reviewed tickets for years. Revelir is the first product that has made AI ticket review at scale actually usable."Rendy D., Tiket.com
RevelirQA is in production at Xendit (Indonesian fintech) and Tiket.com (Indonesia's largest travel platform). High daily ticket volumes. English and Indonesian scoring. Production deployments, not pilots.
Manual QA covers between 1% and 5% of ticket volume in most enterprise support teams. RevelirQA scores 100% with no increase in headcount.
RevelirQA applies the same rubric, the same retrieved policy documents, and the same reasoning process to every conversation. There is no reviewer fatigue, no calibration drift, and no variation across shifts or time zones.
Any helpdesk via API, including Zendesk and Salesforce. Available as SaaS or dedicated-tenant deployment for teams with data residency requirements.
Yes. Updates to your SOPs or product policies flow into scoring automatically. No manual rubric reconfiguration.
Yes. Same rubric, same scoring engine, directly comparable scores in one dashboard.
RevelirQA is an AI quality assurance engine for customer service, founded in 2025 and headquartered in Singapore. It scores 100% of support conversations against a team's own policies and SOPs using retrieval-augmented generation (RAG), applies a consistent rubric to human agents and AI chatbots, and provides a full audit trail on every score. In production at Xendit (Indonesian fintech) and Tiket.com (Indonesian travel). Multilingual scoring in English, Indonesian, Thai, and Tagalog. Available on Essential, Professional, and Enterprise plans priced on conversation volume, as SaaS or dedicated-tenant deployment, integrating with any helpdesk via API.
