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Altostrat Studio is built for the full support loop. Your AI agents read incoming work, investigate the problem, bring the right people into decisions, take approved action on your or your customers’ infrastructure, and carry the result back to the customer. Connect your ticketing system, operational tools, and team workflows. Give each agent a responsibility, the knowledge and credentials it needs, and a clear definition of resolved. The agent carries the work through its stages, pauses for human decisions, and keeps the evidence with the run. Studio calls these cloud agents digital workers; you manage them as Agents inside a channel. They continue working while your desktop is closed. Your team uses the web Work area to supervise them and the Studio desktop for hands-on investigation and intervention.

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From a ticket to a verified outcome

A useful support agent is responsible for more than its first answer. Configure the complete path: These are workflows you configure for your systems. Ticket replies, customer email, and infrastructure actions depend on the connected service and its permissions. Read Run the full support loop for a worked example and current communication capabilities.

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Build your support operation

Design the full support loop

Define intake, investigation, human decisions, action, verification, and the final customer response.

Create an AI support agent

Configure stages, connections, triggers, budgets, and human review. Test a complete support case before unattended intake.

Connect tickets and infrastructure

Make the required help-desk and infrastructure operations available through scoped integrations and service credentials.

Give agents organizational knowledge

Make permitted shared facts and operating knowledge useful during investigation, with evidence you can inspect.

Bring your team into the loop

Answer questions and approvals in Work or configured Slack routes. Track the run through waiting states and completion.

Intervene with the right tools

Use terminals, browsers, remote sessions, files, and Copilot when a case needs an operator’s investigation or action.

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Start with one complete support workflow

Choose a common request with a clear success check: a stopped service, a customer access request, or an incident that needs diagnostics and a documented escalation. Connect the smallest set of tools needed to finish that case. Run representative examples through to the final ticket update. Include an unsuccessful fix, an unavailable integration, and a request that needs a person. Review results in Outcomes before expanding the agent’s responsibility. See support use cases for examples you can adapt. Human decisions are part of the workflow. A connector write presents the exact proposed request for approval; the agent can execute it after an independent authorized reviewer approves. The agent guide explains those controls, while security and privacy covers organizational and customer boundaries.

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The operator workspace behind the agents

The desktop gives your team the tools to investigate exceptions, work on systems that need local access, and preserve evidence. Cloud agents have their own supported tools and credentials; they do not inherit an operator’s desktop access. Install the desktop when your team needs those operating surfaces. Start with AI support agents to configure the cloud workflow.