AI-native IT service management (ITSM)
IT service management, built AI-first. One platform to resolve employee requests autonomously, manage your assets, applications, knowledge, and people from a single source of truth, and build your own agents for any process, alongside with Harmony built-in agents, all running on one shared understanding of your organization.
Resolve
Problems
Bad employee experience
Employees struggle with outdated service experiences designed 10–20 years ago, often unsure who to contact or how.
Slow response times
Tickets are still handled manually, and that takes time and long SLAs
Bolted-on AI
Buy AI modules on top of a legacy vendor trying to bolt agentic capability onto infrastructure built 10-20 years ago never hits the bar you set
Scattered agents
Build your own agents and you end up with ten scattered across different tools and frameworks
DIY doesn't scale
Do It Yourself approach doesn't scale and can't be truly done without engineering
Solutions
An AI-powered service desk agent that resolves employee requests instantly, right inside the communication tools your teams already use. It understands intent, takes action, and closes requests without human intervention.
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Manage
Problems
Outdated knowledge
Managing outdated knowledge, data, and reporting is a pain
Too much manual work
Every change is a project: a new flow takes weeks to implement
Disconnected data
Endless chasing of the ops teams for forms, fields, and workflows
Scattered tools ownership
It’s hard to manage your assets, apps, and people when they’re spread across different tools
Solutions
Complete visibility and control over every SaaS and on-prem application in your organization. Know what you’re paying for, who’s using it, when renewals are due, and where you’re wasting money.
Learn moreFAQ
Harmony is an AI-native platform that resolves employee service requests across IT, HR, finance, procurement, and legal - built AI-first, not a traditional ticketing system with AI bolted on.
Every ticket is automatically classified, routed, enriched, and resolved or escalated by AI before a human ever touches it, while agents work in a clean, context-rich interface.