Put your service desk on autopilot.
An AI workforce for your IT service desk. ITSM Autopilot connects to your existing ticket system and classifies, answers and resolves requests automatically. Every resolved ticket becomes reusable knowledge, so the more knowledge, the more gets resolved on its own. A separate product with its own environment.
Real service by real people. Administrative work by machines.
What it stands on
Agent before chatbot
A chatbot has to be right immediately. An agent starts in shadow mode: it observes, suggests and learns before it ever speaks to a user.
Knowledge before intelligence
AI without knowledge is weak. Every resolved ticket becomes a knowledge article, so the more you resolve, the more gets resolved on its own.
Trust before automation
Automation has to earn trust first. An agent only acts on its own once it has proven it can.
Human in control
You set the instructions, the triggers and the threshold per agent. The machine does the administrative work, people do the service.
What it does
It asks, it does not guess
On a vague ticket the agent asks the right questions first, instead of guessing.
Self-service that actually resolves
A request like a new laptop gets handled, not passed along.
You stay in control
Above your confidence threshold the agent acts, below it the agent writes a private note.
Category, priority and team, automatically
Every ticket gets the right classification in seconds.
Every resolution becomes knowledge
After a resolution the system turns it into a knowledge article for next time.
Known problem, known fix, right away
When the agent recognises a known problem, the known fix comes straight out.
Trust is earned. That goes for AI too.
An agent starts by watching along without changing anything. It writes private notes for your operators: suggests a category, asks for missing information, and shows what it would do. The end user sees none of it. That is how you build trust before anything goes live.
You set the threshold. The agent only earns autonomy once it has proven itself.
The confidence model
Above 80% confidence
The agent acts on its own.
Below 80% confidence
The agent writes a private note for the operator.
Low confidence
The agent does nothing or escalates.
The more you resolve, the more runs on its own
Every resolved ticket becomes a knowledge article. That knowledge feeds the agent, which then handles more on its own next time. A flywheel that spins faster with every resolution.
How it works
1. Connect your ticket system
Enter your credentials. No implementation project, no consultants.
2. Turn on shadow mode
The AI starts analysing immediately and shows what it would do.
3. Go live per agent
Review the runs and take agents live one by one when you are ready.
Alongside your ITSM tool
Curious about the AI variant?