Customer SupportAI Agents

Conversation Intelligence for Support

Support conversations were happening across multiple channels but generating no actionable intelligence. Management had no visibility into resolution patterns, agent performance, or recurring issues. CSAT data was collected but not connected to conversation quality.

25–35%

Faster resolution times

40%

Improvement in CSAT visibility

100%

Conversation coverage (vs. ~5% manual sampling)

CLIENT

A B2B SaaS company with a high-volume customer support operation across chat and email channels

THE CHALLENGE

Support conversations were happening across multiple channels but generating no actionable intelligence. Management had no visibility into resolution patterns, agent performance, or recurring issues. CSAT data was collected but not connected to conversation quality.

THE SOLUTION

What we built and why

We built an end-to-end conversation intelligence system that ingests support conversations from all channels, extracts intent, sentiment, resolution outcome, and agent behaviour signals, and surfaces insights through a real-time dashboard. The system also triggers coaching recommendations for agents based on conversation patterns.

DELIVERABLES

What we delivered

Multi-channel conversation ingestion pipeline (chat, email, CRM)

Intent classification and resolution outcome extraction

Sentiment scoring and escalation detection

Real-time ops dashboard for managers

Agent performance analytics with trend tracking

Automated coaching flag generation for team leads

HOW WE WORKED

From kickoff to production

01

Data audit & pipeline design

Mapped all conversation sources, assessed data quality, and designed a unified ingestion pipeline that normalised conversations from chat, email, and CRM.

02

Intelligence layer

Built extraction models for intent classification, sentiment scoring, resolution outcome tagging, and agent behaviour signals. Validated against human-labelled ground truth.

03

Analytics & dashboards

Designed and built an ops dashboard giving managers real-time visibility into volume, resolution patterns, agent performance, and issue trends.

04

Coaching loop

Built a feedback system that surfaces conversation-level coaching signals to team leads — flagging conversations that deviate from resolved patterns.

Let’s identify the highest-leverage
system for your business.

We’ll review your workflows, prioritize the right opportunity, and define a practical path from concept to production.

Start a system review

Response within 1 business day.