Risotto Launched Autonomous AI IT Engineer
The platform automates Tier-2 IT support requests by converting historical ticket resolutions into reusable runbooks.
Updated on Oct. 5, 2026 in Robotics
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Risotto has launched an autonomous AI IT engineer designed to diagnose and resolve complex Tier-2 support requests. The system, which is now available for deployment, analyzes past ticket data to generate automated solutions.
Why it matters
The platform aims to reduce manual labor in technical support by leveraging historical system logs and ticket history. It allows organizations to scale response operations without increasing human headcounts.
The system mines 90 days of past ticket history to inform its decision-making. Users report performance benchmarks including a 91% autosolve rate at Ironclad and an 80% automation rate at Vidyard within 30 days.
The players
Risotto
A software company developing autonomous AI agents focused on automating technical support workflows and IT engineering tasks.
Ironclad
A digital contracting platform that reported a 91% autosolve rate using the Risotto system.
Gusto
A payroll and benefits platform that utilized the system to save 114,000 hours of support wait time.
Vidyard
A video messaging and hosting platform that reached an 80% automation rate within 30 days of implementation.
The details
The platform functions by analyzing user context and system logs, then using these inputs to diagnose issues. It converts resolved IT tickets into reusable runbooks—step-by-step automated instruction sets—which are executed via human-in-the-loop approval. Users can command new automations using natural language through integration with corporate tools via API or MCP (Model Context Protocol) endpoints.
Timeline
October 5, 2026: Risotto officially launched the autonomous IT engineer.
Earlier in 2026: The company secured $10 million in a seed funding round.
The Tech Race
The rise of Risotto marks a departure from manual ticketing systems by utilizing the Model Context Protocol to standardize how AI agents interact with live corporate data. This development follows a broader industry trend of shifting from basic chatbots to autonomous agents capable of modifying system configurations.
IT teams can begin deploying the platform through existing API integrations to automate repetitive Tier-2 tasks. The system requires initial human-in-the-loop approval workflows to ensure system stability while the AI learns from internal ticket history.
The takeaway
The platform moves IT support from reactive human effort to proactive, history-informed automation. IT leads should monitor upcoming integration support for legacy ticketing software to determine if their current stack is compatible.
Further reading
Learn more about the latest developments in Robotics.
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