All Solutions

Solution

Customer Support AI

Handle more support volume without compromising on quality.


Overview

What this solution is

Support teams face a fundamental scaling problem: volume grows faster than headcount can. Tesseraz builds AI support systems that resolve common issues instantly, route complex cases with full context, and continuously improve from actual support interactions.


Common challenges

Business problems this addresses

  • Support volume growing faster than team capacity
  • Long first-response times damaging customer satisfaction
  • Repetitive tier-1 issues consuming senior agent time
  • Inconsistent answers across agents and channels
  • No systematic way to learn from resolved support interactions

Capabilities

What we build and deliver

  • AI-powered automated resolution for common request types
  • Intelligent triage and routing with context handoff
  • Knowledge base integration and dynamic answer generation
  • Multi-channel deployment (chat, email, portal)
  • Sentiment detection and escalation triggers
  • Agent assist overlays for human-handled tickets
  • Continuous improvement from resolution feedback

Use cases

How clients apply this solution

SaaS Tier-1 Deflection

A B2B SaaS company was handling 4,000 support tickets per month, 60% of which were answered by the same 50 help articles. We deployed an AI resolution layer that now handles 65% of incoming volume autonomously, with customer satisfaction scores unchanged.

E-commerce Order Support

An e-commerce brand deployed AI to handle order status, return initiation, and refund status queries — the four highest-volume request types. Human agents now focus entirely on complex and escalated cases.

Financial Services Client Queries

A wealth management firm deployed an AI assistant for client-facing account queries, trained on product documentation and compliant response templates. Response time dropped from 4 hours to under 2 minutes for covered query types.

Delivery approach

How we deliver this solution

01

Ticket Analysis

Review existing support volume, categories, and resolution patterns

02

Coverage Design

Define automation scope and escalation logic

03

Knowledge Integration

Connect help content, documentation, and product data

04

Interface Build

Deploy AI layer across channels with agent assist UI

05

Monitor

Track resolution rate, CSAT, and escalation patterns

Ready to explore Customer Support AI?

Let us understand your situation and design the right approach for your organization.