AI Call Surveillance for Faster Compliance Risk Review

Client Overview

A leading financial advisory and capital solutions provider managed high-volume dealer-client conversations across multiple Indian languages. With thousands of calls generated daily, the client needed a scalable, secure, and automated way to monitor communication quality, identify compliance risks and strengthen oversight across its business operations.

Problem Statement

The client’s compliance team was reviewing call recordings manually, which made the process slow, inconsistent, and difficult to scale. As call volumes increased, manual sampling created visibility gaps and limited the team’s ability to detect potential breaches in time.

Multilingual conversations added another layer of complexity. Calls had to be transcribed, translated, interpreted, and reviewed accurately across six Indian languages. The team also needed better visibility into missing client codes, unsuitable recommendations, escalation triggers, and other potential compliance breaches.

For leadership, the challenge was clear: compliance monitoring could not remain dependent on manual review when the business required faster risk detection, stronger governance and complete audit readiness.

Solution Provided

Decimal Point Analytics built an end-to-end AI-powered multilingual call surveillance platform within the client’s AWS environment. The solution was designed to automate call transcription, translation, speaker identification, risk detection, and compliance review across six Indian languages.

The platform used GenAI capabilities on AWS Bedrock to detect potential violations based on configurable business rules and evidence-driven logic. It helped identify call-level risks such as missing client codes, recommendation-related concerns, and possible compliance breaches.

An interactive risk dashboard gave compliance teams a consolidated view of call insights, investigation priorities, escalation workflows, and downloadable audit reports. The solution was built to support scale, configurability, and secure deployment within the client’s existing cloud environment.

Outcome

The AI-powered platform enabled automated compliance review of nearly 4,000 calls per day across six Indian languages.

The client moved from manual sampling to 100% call coverage, significantly improving visibility across dealer-client conversations. Review time was reduced from 3–5 hours per day to minutes, allowing compliance teams to focus on investigation and decision-making instead of repetitive screening.

The solution also improved the identification and investigation of potential compliance breaches, reduced manual effort, and delivered a scalable framework that could evolve with changing business rules and regulatory

Key Takeaway

For financial institutions, compliance surveillance is no longer only about reviewing more calls. It is about identifying risk earlier, creating consistent evidence trails, and giving leadership confidence that governance can scale with business growth.

By combining multilingual AI, GenAI-led risk detection, and workflow-based dashboards, Decimal Point Analytics helped the client move from sample-based compliance monitoring to continuous, enterprise-ready surveillance.
Strengthen compliance oversight with AI-powered call surveillance built for scale, multilingual complexity, and audit readiness.

Speak To Decimal Point Analytics to see how intelligent surveillance can help your teams detect risk faster and improve compliance governance.