Conversation Insight's AI Quality Assurance Platform
Client
Conversation Insight
Industry
Beauty & Wellness
Services
Product Strategy, Full-Stack Engineering, AI Integration, Ongoing Support
Duration
3-Month Build, Ongoing Support
About Conversation Insight
Conversation Insight is an AI-powered quality assurance platform built for a fast-growing UAE customer support organization. Patoliya Infotech developed the platform to analyze customer conversations across WhatsApp, email, and live chat, replacing manual reviews with AI-driven evaluations, faster feedback, actionable coaching, and consistent performance measurement.
10,000+
Conversations Monthly
Same-Day
QA Turnaround
100%
Conversation Coverage
AI-Powered
Quality Reviews
Problems to solve
As customer conversations increased, manual quality reviews became too slow and inconsistent to support effective coaching or operational decision-making.
Key challenges included:
Reviewing thousands of customer conversations manually every month.
Delivering quality feedback days after conversations had already ended.
Maintaining consistent evaluation standards across multiple managers.
Identifying coaching opportunities from fragmented review processes.
Integrating conversations from multiple communication channels automatically.
Building a scalable quality assurance process without increasing management workload.
The Results We Achieved
Patoliya developed an AI-powered conversation quality platform that centralizes conversation analysis, automated assessments, scorecards, reporting, and coaching workflows. It enables managers to evaluate customer interactions consistently while reducing manual review efforts.
Provided services
Conversation Integration Platform
Connected WhatsApp, email, and live chat conversations through Trengo API integrations.
AI Assessment Engine
Developed a dual-model architecture supporting OpenAI GPT-4o and Anthropic Claude for flexible AI evaluations.
Quality Scorecard Builder
Created configurable scorecards with reusable assessment criteria and standardized evaluation rules.
Knowledge-Based AI Evaluation
Connected company policies directly with AI assessments for organization-specific quality scoring.
Role-Based Management Portal
Built dedicated workspaces for administrators, managers, auditors, and support agents.
Performance Reporting Dashboard
Delivered structured reports, coaching insights, and conversation analytics for continuous improvement.
How We Made It Happen
Conversation Insight required a standardized quality assurance system capable of evaluating every customer interaction consistently while supporting rapid business growth. Patoliya delivered the platform through structured engineering phases.
Conversation Integration Architecture
Development began by building a reliable ingestion layer that automatically imports conversations from WhatsApp, email, and live chat using Trengo API integrations. Retry mechanisms and resilient synchronization ensure conversations are captured accurately even during traffic spikes or temporary failures.
AI Assessment Engine
Patoliya implemented a dual-model AI architecture using OpenAI GPT-4o and Anthropic Claude, allowing organizations to select different models based on assessment complexity and operational cost. This provides flexible, scalable AI-powered quality evaluations across varying conversation types.
Standardized Quality Framework
Configurable scorecards, reusable assessment criteria, behavioral indicators, and report templates establish consistent evaluation standards across every conversation. This removes reviewer subjectivity while ensuring assessments remain repeatable and measurable.
Knowledge-Grounded Evaluation
Rather than relying on generic AI responses, the platform connects organizational policies and service guidelines directly to assessment logic. AI evaluates every conversation against company-specific standards, improving trust, consistency, and coaching accuracy.
Coaching & Performance Management
Managers receive structured reports highlighting performance trends, coaching opportunities, compliance issues, and behavioural insights. Agents benefit from timely, standardized feedback that supports continuous improvement instead of delayed manual reviews.
Secure Role-Based Operations
Dedicated access controls provide customized experiences for administrators, managers, auditors, and agents. Each user interacts only with relevant information while maintaining secure governance across quality assurance workflows.
Continuous Analytics & Platform Evolution
The platform continuously processes new conversations, generates AI assessments, and produces actionable reporting that evolves alongside business needs. Ongoing engineering enhancements ensure scalability as conversation volumes and organizational requirements continue to grow.
Looking to improve conversation quality at scale?
Talk to our experts about building AI-powered quality assurance platforms.
10,000+ Monthly Conversations
High-Volume QA Processing
Dual-AI Architecture
Flexible Model Selection
Automated Scorecards
Consistent Evaluation Standards
Knowledge-Based AI
Organization-Specific Assessments
Multi-Channel Ingestion
Unified Conversation Analysis
Automated Reporting
Faster Coaching Decisions
Technical Decisions &
Engineering Considerations
Reliable Multi-Channel Integration
Built a resilient ingestion layer connecting WhatsApp, email, and live chat through Trengo APIs. Retry mechanisms ensure reliable conversation processing during high volumes and temporary integration failures.
Flexible Dual-AI Architecture
Integrated OpenAI GPT-4o and Anthropic Claude through a configurable assessment engine. Organizations can select AI models for different scenarios while maintaining consistent evaluation and reporting standards.
Structured AI Evaluation Framework
Implemented configurable scorecards, assessment libraries, and report schemas to standardize AI evaluations. The framework delivers consistent insights across conversations regardless of channel, length, or complexity.
Scalable Cloud-Based Platform
Built with React, Node.js, PostgreSQL, and containerized cloud infrastructure to support continuous conversation processing, secure role-based access, scalability, and seamless platform expansion while enabling ongoing AI-powered enhancements and feature development.
Technology Stack
Frontend
Backend
Database
Artificial Intelligence
Integrations
Infrastructure
Frontend
Backend
Database
Key features
AI Conversation Assessment
Automatically evaluates customer conversations using configurable AI-powered quality scorecards.
Multi-Channel Integration
Imports conversations seamlessly from WhatsApp, email, and live chat through Trengo integration.
Custom Quality Scorecards
Build reusable evaluation frameworks with configurable criteria, behaviours, and scoring models.
Knowledge-Based Evaluation
AI assesses conversations using organization-specific policies and internal documentation.
Role-Based Workspaces
Dedicated experiences for administrators, managers, auditors, and support agents.
Performance Coaching Dashboard
Deliver structured coaching insights, quality trends, and actionable feedback automatically.
Conversation Intelligence
Monitor quality metrics, compliance performance, and operational trends from centralized dashboards.
Assessment Criteria Library
Create reusable quality criteria, behavioral indicators, and compliance checks for consistent AI evaluations.
Report Schema Management
Standardizes AI-generated evaluation reports for consistent analysis and easier performance tracking.
Trusted by the Teams We Build With
We value long-term relationships above all, driven by a strong focus on collaboration and mutual growth.
Working with Mr Vijay Patoliya has been one of our best decisions to materialize our IT strategy. He and his team provides daily updates, which are key to gauge the progress and define/decide next steps either to correct or fine tune development. Mr Patoliya and team show commitment and professionalism. We definitely will continue to work with them.
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