Risotto Launches Autonomous IT Engineer That Investigates, Resolves, and Automates Complex Employee Support Tasks
Risotto, the AI-native autonomous help desk, has announced the launch of its Autonomous IT Engineer.
The new co-pilot can handle complex Tier-2 requests by investigating unfamiliar issues, analyzing logs, and executing fixes with human approval. It also turns successful resolutions into reusable workflows, reducing the need for repeated manual intervention.
Automated IT’s Problem: Low Solve Rate for Most Edge Cases.
Traditional IT automation typically handles basic Tier-1 requests but struggles with ambiguous or unfamiliar edge cases. These issues still require engineers to investigate, diagnose, and resolve problems manually.
Because these fixes are often one-off interventions, the underlying knowledge remains buried in ticket histories rather than becoming part of the automation system. As a result, IT workflows remain static while engineering teams face an increasingly complex technology stack.
“Risotto’s AI-powered support system had a massive impact straight out of the box and with very little setup. Employees now get fast, efficient answers with the same precision as one of our professionals,” said Mike Smith, IT Operations Manager at Jobber.
Risotto’s Solution: Autonomous IT Engineer for Tier 2 Requests.
Risotto’s Autonomous IT Engineer moves AI helpdesks beyond simple answer bots toward autonomous handling of complex Tier-2 requests. By analyzing user context and system logs, it can diagnose unfamiliar issues, recommend fixes, and execute them with human approval.
Each successful resolution becomes a reusable runbook, while historical ticket analysis identifies new automation opportunities. This allows complex issues to be resolved faster while continuously expanding automation coverage.
Key Capabilities Include:
No-Code Workflow Generation: Builds and tests workflows from natural-language instructions and connects with tools through APIs or MCP.
Past Ticket Mining: Analyzes 90 days of ticket history to identify automation opportunities.
Dynamic Artifacts: Creates live-data dashboards and reports without BI or engineering support.
Proactive Triggers: Automates scheduled and event-driven workflows such as employee onboarding and system health checks.
“Every AI helpdesk can deflect password resets, but the real bottleneck in IT lies mapping out and automating complex operational workflows that haven’t been previously documented.,” said Aron Solberg, CEO and Co-Founder of Risotto. “Our Autonomous IT Engineer doesn’t just resolve these complex issues; they convert each resolution into a reusable automation. The agents don’t just use tools, they build the tools they need.”
Risotto’s Track Record in IT Automation.
Risotto is already delivering efficiency gains for enterprises including Gusto, Instacart, Docker, Retool, ThoughtSpot, Jobber, Patreon, Ironclad, Hazel Health, and Fundrise. Customers achieve an average first-response time of under 4 seconds, with 20%–60% of tickets typically resolved automatically.
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