All Case Studies
Enterprise IT Multi-Agent Orchestration

AI-Powered IT Support Assistant

A multi-agent orchestration system that intelligently routes, diagnoses, and resolves IT support tickets — cutting L1 volume by 60%, resolving issues in 2 minutes instead of 4 hours, and running 24/7 without downtime.

$72K
Annual Savings
per 1,000 users
40-60%
Ticket Reduction
fewer L1 tickets
2 min
Resolution Time
vs 4 hours manual
24/7
Availability
zero downtime
6-8 wks
Implementation
discovery to launch
// the_challenge

L1 teams drowning.
60-70% repeat questions.
No after-hours help.

High Ticket Volume

L1 support teams overwhelmed with tickets, unable to meet SLAs during peak hours.

60-70%

Repetitive Tickets

The majority of tickets were common questions that wasted skilled engineer time.

4 hrs

Average Resolution

Productivity loss across the org. No help available after hours or on weekends.

Knowledge Silos

Information scattered across Zoho KB, wikis, Slack threads, and tribal knowledge.

// the_solution

What We Built

Not one monolithic chatbot — a team of specialized AI agents, each an expert in its domain, orchestrated by an intelligent coordinator.

01

Intelligent Orchestration

The VoltAgent framework coordinates specialized agents using GPT-4o for reasoning. Each query is analyzed and routed to the right specialist — Zoho for tickets, RAG for docs, escalation for complex issues.

VoltAgent GPT-4o Zoho
02

Omni-Channel Support

Seamless support via Voice (VAPI) and Web Chat, extendable to Slack and Teams. Unified knowledge search across Zoho KB, company wikis, and internal documentation.

VAPI Voice Web Chat RAG Search
03

Smart Escalation

Auto-escalates complex issues to human agents with full context preservation — customer history, diagnostic steps already taken, relevant KB articles, and similar past incidents. Humans start at step 5, not step 1.

Context Handoff Auto-Escalation
architecture — ai-it-support
Orchestrator Agent
VoltAgent + GPT-4o — Routes, coordinates, synthesizes
ITSM

Zoho Agent

Queries KB articles, searches incident history, finds similar resolved tickets

Knowledge

RAG Agent

Semantic search across company docs, wikis, and unstructured knowledge

Workflow

Ticket Agent

Creates, updates, and escalates tickets with full context preservation

Human Loop

Escalation Agent

Routes complex issues to human agents with complete diagnostic context

// roi_breakdown

The Math

Before: The Hidden Cost

✕ L1 team buried under repetitive tickets they've seen 100 times
✕ 4-hour average resolution = compounding productivity loss
✕ After-hours incidents with no support = morning fire drills
✕ Tribal knowledge in engineers' heads = single points of failure

After: The AI Dividend

40-60% of L1 tickets resolved automatically in 2 minutes
24/7 availability — no after-hours gaps, no weekend dead zones
Knowledge centralized and searchable via semantic RAG
$72K annual savings per 1,000 users — scales linearly
// savings_model
500/mo
Tickets deflected
60% of ~830 monthly
3.8 hrs
Time saved/ticket
4hr → 2min
$75/hr
Engineer cost
Fully loaded
$72,000
Annual savings
Per 1K users
// how_we_delivered

Delivered Through Catalyst Studio

This project ran discovery to launch in 6-8 weeks. Weeks 1-2: discovery — understand ticket patterns, map knowledge sources, define success metrics. Weeks 3-4: build — agent architecture, Zoho integration, RAG pipeline, voice setup. Weeks 5-6: test — live ticket testing, accuracy tuning, escalation flow validation. Weeks 7-8: launch — phased rollout, monitoring setup, handover and documentation.

Learn about our Catalyst Studio
// related_platform

The platform behind this pattern

Orchestrator, specialist agents, shared memory and typed integrations — the architecture from this project became our Agent Platform, the Agentic OS for business.

Explore the Agent Platform All platforms

Your L1 team deserves
better problems to solve.

Let AI handle the repetitive 60%. Free your engineers for the work that actually needs a human brain.

Book a 4-6 Week Sprint