Automate Customer Support With AI
Resolve 70%+ of support tickets automatically, deploy omnichannel AI chat across every customer touchpoint, and cut support costs by 60% — without degrading the customer experience.
Why Traditional Support Doesn't Scale
Hiring more agents to handle more tickets is a losing equation. Support headcount grows linearly while ticket volume compounds — and quality degrades as agents burn out on repetitive queries.
The AI-First Approach
Everything You Need for AI Support Automation
Six production-ready capabilities that cover the full support automation stack.
Ticket Automation
Automatically classify, prioritize, route, and resolve incoming support tickets using AI — no manual triage required. The system handles common requests end-to-end and escalates complex cases.
AI Live Chat
Deploy a context-aware AI chat agent on your website, product, and mobile app. It answers questions from your knowledge base, takes actions in your systems, and hands off to humans with full context.
Help Desk Automation
Deep integrations with Zendesk, Intercom, Freshdesk, and Jira Service Management — the AI works inside your existing help desk, not alongside it, leveraging all your existing ticket history.
Omnichannel Support
Unified AI support across web chat, email, Slack, WhatsApp, SMS, and voice — with a single knowledge base and consistent resolution quality across every channel.
Human Handoff Engine
Intelligent escalation with configurable triggers: low confidence score, negative sentiment, VIP customer detection, or specific topic flags. Humans receive complete conversation context before they respond.
Support Analytics
Real-time dashboards showing resolution rates, CSAT trends, deflection savings, first-contact resolution, cost per ticket, and AI accuracy — updated every 15 minutes.
How We Automate Your Support Operations
From ticket analysis to live omnichannel deployment in 6–10 weeks.
Workflow Mapping
We analyze 3–6 months of your historical ticket data to identify intent categories, resolution patterns, and automation candidates. We quantify potential deflection rate before building anything.
Knowledge Base Setup
We structure and embed your documentation, SOPs, product guides, and support macros into a vector knowledge base with chunking and metadata strategies optimized for high-precision retrieval.
AI Training & Tuning
We build and systematically evaluate the AI resolver against 300+ real historical tickets, tuning prompts and retrieval parameters until resolution accuracy meets agreed-upon quality thresholds.
Channel Integration
We integrate the AI into your existing support stack — Zendesk, Intercom, Freshdesk, or custom systems. Web chat widget, email ingestion, and Slack/WhatsApp channels deployed in parallel.
Monitoring & Continuous Improvement
Live monitoring dashboard with anomaly alerts. Weekly accuracy review cycles for the first 90 days — analyzing failures, expanding knowledge coverage, and refining escalation triggers.
Technology Stack
AI Support Automation by Industry
We build support automation for the specific ticket types, terminology, and compliance requirements of each industry.
SaaS
Feature how-to, billing questions, account management, API support, onboarding guidance
E-commerce
Order status, returns and refunds, shipping inquiries, product questions, promo code issues
Insurance
Policy inquiries, claims status, document requests, coverage questions, payment processing
Healthcare
Appointment management, billing questions, prescription queries, provider information
Finance
Account queries, transaction disputes, product eligibility questions, KYC document requests
Retail
Product availability, store information, loyalty program queries, warranty claims
Why Support Teams Choose Infonza
Data-Driven Scoping
We analyze your actual ticket history before estimating automation potential. Our deflection forecasts are based on real data, not vendor marketing averages.
Help Desk Native
We build inside your existing Zendesk, Intercom, or Freshdesk environment — not a parallel system. Agents work the same way, just with AI handling the volume.
Knowledge Base Architecture
We don't just dump documents into a vector store. We build structured, maintained knowledge bases with proper chunking, metadata, and retrieval evaluation.
Guardrails for Support
Every deployment includes confidence thresholds, off-topic handling, PII detection, and topic boundary enforcement — so the AI stays accurate and appropriate.
Measurable ROI
We track deflection rate, cost per ticket, CSAT delta, and time-to-resolution weekly. You see the ROI in your actual support metrics, not just a demo dashboard.
Find out how many tickets AI can handle for your team
We analyze your ticket history for free and give you a realistic deflection forecast — before any commitment.
Related Services
Frequently Asked Questions
Practical answers about AI customer support automation from our engineers.
Cut Support Costs by 60% With AI
Talk to our support automation engineers. We'll analyze your ticket volume, identify automation candidates, and scope a deployment that delivers measurable ROI within 90 days.