Risotto Launched Autonomous AI IT Engineer
The new AI platform automates complex IT troubleshooting by converting resolved support tickets into reusable runbooks.
Updated on Oct. 5, 2026 in Robotics
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Risotto has debuted an autonomous AI co-pilot designed to manage Tier-2 IT requests. The platform analyzes system logs and user context to resolve issues while converting past ticket resolutions into automated workflows.
Why it matters
By automating the resolution of complex IT tickets, the platform aims to significantly reduce the manual labor currently required by IT teams. It uses a human-in-the-loop approval process to safely execute technical fixes.
The system utilizes natural language for automation tasks and integrates via API or MCP endpoints. It mines 90 days of historical data to build its intelligence, achieving an 80% automation rate for Vidyard within the first 30 days.
The players
Risotto
Risotto is a software company that develops AI-driven solutions for automated IT infrastructure and support ticket management.
Ironclad
Ironclad is a digital contracting platform that served as an early adopter of the Risotto automation technology.
Gusto
Gusto is a cloud-based payroll, benefits, and human resources software provider that utilized the new platform to reduce support wait times.
Vidyard
Vidyard is a video messaging and hosting platform that reported high automation rates using the Risotto system.
The details
Users describe desired automations through natural language, allowing the AI to execute fixes with human oversight. The platform leverages past ticket history to refine its diagnostic capabilities and system integrations.
Timeline
Risotto launched the Autonomous IT Engineer on October 5, 2026.
The company secured $10 million in seed funding earlier in 2026.
The Tech Race
This launch represents a shift toward intelligent agents capable of performing actual work rather than just generating text. It follows a pattern set by the Model Context Protocol in standardizing how AI systems connect to secure corporate data environments.
IT professionals can expect a reduction in repetitive manual ticket work, potentially allowing them to focus on more complex systems projects. Meanwhile, employees seeking support may experience significantly shorter wait times for technical resolutions.
The takeaway
The transition to autonomous IT engineering reflects a broader trend of AI agents moving from simple chat interfaces to active operational roles. Companies should prepare for these systems by ensuring their internal documentation and ticket history are clean and organized for AI mining.
Further reading
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