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Risotto Launches an “Autonomous IT Engineer” for Complex IT Tickets

Risotto says its Autonomous IT Engineer can investigate complex tier-2 tickets, execute approved fixes, and turn successful resolutions into reusable workflows. Its performance figures remain vendor-reported.
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Risotto announced its “Autonomous IT Engineer” on October 5, 2026, positioning it as an AI agent for investigating complex, unfamiliar tier-2 IT tickets—not just answering routine support questions. The company says the agent can analyze an issue, execute a fix with human approval, and turn successful resolutions into reusable workflows. Those capabilities and performance figures are vendor claims; the available coverage does not independently verify them.

What Risotto’s Autonomous IT Engineer is designed to do

The launch targets IT requests that may require investigation across systems, rather than a simple response to a known question. Risotto describes a workflow in which the agent examines a ticket and relevant information, works toward a fix, and seeks human approval before executing fixes. If a resolution works, the company says it can be captured as a reusable runbook or automation.

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Risotto CEO and co-founder Aron Solberg framed the idea this way: “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.” That is the company’s product positioning, not independent evidence of performance.

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Features described in the launch

  • Natural-language workflow creation: Risotto says teams can generate workflows without code and connect them through APIs or MCP endpoints.
  • Ticket-history analysis: The system is described as analyzing 90 days of ticket history to identify opportunities for automation.
  • Dashboards and reports: Teams can create custom pages and reports using live data.
  • Scheduled and event-triggered tasks: Workflows can be set to run on a schedule or in response to an event, with onboarding and system checks given as examples.

On its IT product page, Risotto also describes conversational, multi-step troubleshooting, integrations with ticketing and workplace communication tools, and escalation when human support is needed. These are vendor descriptions; the sources do not provide an independent technical assessment of how the integrations, permissions, or escalation behave in production.

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What Risotto says about speed and resolution rates

The October 5, 2026 launch announcement states that the product can respond in under four seconds and achieve auto-solve rates of up to 70%. The Next Web reported Risotto’s separate claim that it can auto-resolve up to 90% of IT tickets. Both percentages are attributed to the company, and the available sources do not establish that they use the same ticket population, definition, or measurement method. They should not be treated as directly comparable.

The available coverage does not disclose the customer sample, measurement definitions, or independent verification behind these figures. They are therefore claims to test against an organization’s own ticket mix, rather than established forecasts of what a prospective customer will achieve.

What IT teams should verify before relying on it

A system that can investigate and act on complex tickets needs to fit the organization’s operational controls, not just produce a plausible answer. Before a pilot or deployment, IT teams should establish:

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  • Which ticket categories it can handle, and how it recognizes a problem that is outside its scope.
  • Which investigative steps are read-only, which actions can change systems, and exactly where a human must approve a fix.
  • How its connections fit the existing IT service-management, identity, and communications tools, including what access each connection receives.
  • What records are retained for investigations, approvals, actions, failures, and escalation, and who can review them.
  • How “auto-solved” is defined: for example, whether a ticket must remain closed without a reopen or follow-up to count as resolved.
  • Whether reported results hold across the organization’s actual ticket types, rather than only the cases chosen for automation.

These checks matter because the launch coverage does not supply a detailed public technical specification or an independently measured benchmark against other products.

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Availability and pricing

Risotto’s IT page promotes a demo and free 30-day pilots. The retrieved public information does not state a price, so teams will need to ask Risotto about commercial terms and confirm what is included in a pilot.

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.

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