Customer Service Automation · Security and Compliance
CXReview needed to automate quality-control and compliance analysis across high-volume call center conversations because manual review covered only a small fraction of calls and slowed coaching and remediation.
Reported impact
The pilot reduced manual after-call work, expanded the practical reach of quality monitoring and positioned CXReview to improve compliance oversight while saving substantial agent time each day.
CXReview extended its conversation-analytics platform with IBM AI services to automate call review and make large call datasets easier for clients to interrogate. The company had already introduced IBM Watson Discovery to monitor conversations and surface near-real-time performance and infraction signals for quality-control managers. It then piloted IBM watsonx.ai to summarize selected call transcripts and remove the need for agents to write manual dispositions, while planning IBM watsonx Assistant as a chat interface over the stored conversation data. In the target architecture, transcripts and monitoring data are indexed, summarized and exposed through a conversational layer so supervisors and clients can find issues faster, coach agents sooner and strengthen compliance coverage without scaling manual effort linearly.
Call transcripts are collected into CXReview’s conversation analytics platform, indexed and monitored with Watson Discovery, summarized with watsonx.ai, and then exposed through watsonx Assistant so managers and clients can search, review and act on conversation insights.
Previously, the firm was using traditional processes to monitor and audit calls for quality and identify instances of noncompliance.
The first phase of the pilot, which used watsonx.ai to summarize call transcripts in selected projects, has shown encouraging early results.
This phase of the pilot is estimated to save around 23 hours in total per day for the agents using the service.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
Companies House lists the registered office address as "16 Melbourne Road, Teddington, United Kingdom, TW11 9QX," supporting the United Kingdom as the headquarters country.
The Organization JSON-LD lists numberOfEmployees value 1, and sameAs 'http://www.cxreview.net'.
Related
IBM Sample Apr 17, 2024 ExpertSource Global Services ExpertSource needed to monitor far more call-center interactions for compliance because manual review of only a small sample left the company exposed to regulatory penalties, litigation and inconsistent service quality… 100% of calls can be monitored without increasing headcount IBM Watson Machine Learning · IBM Watson Studio · Natural Language Understanding IBM Sample Oct 15, 2025 IBM Tax Organization IBM's tax organization needed to automate global compliance work because inaccessible and incomplete data made tax-return preparation and document validation too manual across many countries and source systems. 3 use cases on track to save tens of thousands of hours annually EY.ai for tax · IBM watsonx.ai · IBM watsonx.data IBM Sample Oct 7, 2025 Dynamiq Dynamiq needed a way to help legal teams process large volumes of contracts, compliance reports, and regulatory documents faster, while reducing manual review work and improving the consistency of compliance decisions. 50% reduction in contract review, down from 1.5 hours to 45 minutes IBM Granite · IBM watsonx Orchestrate · IBM watsonx.data 