Use case

IT & Operations with AI Agents

Automate the routine, keep control of the rest

IT and operations teams spend their days on repetitive triage, status checks, and manual handoffs between systems. yeos agents take on that routine work — classifying requests, running runbooks, and coordinating tools through MCP — while sensitive actions still require human approval and every run stays fully auditable on Swiss infrastructure.

Ticket triage and routing on autopilot

Every incoming request has to be read, understood, categorized, and routed before real work begins. yeos agents handle that first pass automatically: they classify incidents and service requests, enrich them with context from your knowledge base, and route them to the right queue or owner. Your team starts from a triaged, prioritized backlog instead of a raw inbox.

Because the agent works from your own documentation and past resolutions, its suggestions stay grounded in how your organization actually operates. Recurring issues get consistent handling, and engineers spend their attention on the cases that genuinely need it.

Runbooks executed with tool orchestration

Operational work rarely lives in one system. yeos agents connect to your ticketing, monitoring, and infrastructure tools via MCP, so a single agent can gather diagnostics, cross-check systems, and draft or execute the steps of a runbook end to end. Routine procedures that used to take a chain of manual actions become a single governed workflow.

This orchestration turns tribal knowledge into repeatable automation. Standard operating procedures run the same way every time, regardless of who is on shift, which reduces errors and shortens time-to-resolution.

Human approval for anything consequential

Automation in production has to be safe. yeos requires explicit human approval before an agent performs a sensitive action — restarting a service, changing a configuration, or touching customer data. The agent prepares the work and presents it for review, so operators stay in control of every consequential step.

This approval model lets teams automate aggressively on low-risk tasks while keeping a firm hand on high-risk ones. You get the speed of automation without surrendering judgment where it matters most.

Governance and full audit trails

When agents act across your operational stack, accountability is non-negotiable. yeos records who triggered each run, which tools were used, what the agent produced, and who approved it, creating a complete audit trail. Role-based permissions keep each agent scoped to exactly the systems and actions it should touch.

These controls make AI adoption defensible for IT leaders. Every action is explainable, every run is logged, and the automation stays inside the boundaries your policies define.

Swiss data residency for operational data

Logs, tickets, and infrastructure metadata often reveal sensitive details about your systems and your customers. yeos runs on Swiss infrastructure, so operational data and everything agents process with it never leaves a jurisdiction you can vouch for. This is decisive for organizations bound by data protection and sector-specific requirements.

With hosting, governance, and orchestration aligned, IT and operations teams get the efficiency of automation without compromising on the protections their obligations demand.

Typical outcomes

01
Faster triage with AI-assisted classification and routing.
02
Runbooks executed consistently through connected tools.
03
Human approval enforced for every sensitive action.
04
Fully logged, audit-ready operations on Swiss infrastructure.

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