Swiss AI Agents PlatformGoverned workflows for real teams

Most teams start with ad hoc chat assistants, but they quickly run into a wall: the assistant cannot see the right documents, it cannot take actions, and there is no shared governance. The yeos platform solves this by turning conversational experiments into structured agents with clear roles. Each agent is configured with prompts, data sources, and tool access so it behaves consistently across the organization.

For Swiss SMEs, sovereignty is non-negotiable. yeos is operated on Swiss infrastructure, with data residency enforced end-to-end. Every answer includes sources and audit logs so business owners can review decisions, compliance teams can trace evidence, and IT can explain the workflow to regulators, customers, and internal stakeholders without guesswork.

Agents are more than a prompt. yeos lets you define the model, temperature, tool scope, and rate limits per agent so you can match the risk profile of each workflow. A finance agent can be conservative and source-first, while a project management agent can be more exploratory and fast. Roles, permissions, and access boundaries stay explicit instead of buried in a prompt library.

Governance is visible in daily operations. Managers can review how agents respond, compare output to human decisions, and enforce escalation for high-impact steps. This makes it possible to roll out automation gradually, build confidence in the system, and keep humans in control where accountability matters most.

Automation only matters if agents can act. The platform connects to external tools and APIs via OpenAPI imports and curated collections. Teams can centrally manage authentication, headers, and access policies, then enable endpoints per agent or per role. This replaces fragile scripts with governed, reusable connections that scale from one department to the entire company.

For advanced workflows, agents can use webfetch and the sandbox to gather external context or compute results in a controlled environment. Every action is logged, and sensitive operations can require approvals. The platform is designed to bridge the gap between knowledge work and secure execution rather than leaving automation to shadow IT.

The document hub is the backbone of trustworthy answers. yeos ingests files with metadata, chunks them for semantic retrieval, and surfaces sources alongside responses. Teams can reprocess documents when policies change or when new schemas are introduced, ensuring the knowledge base stays current without manual clean-up or risky duplication.

Lifecycle controls handle retention, versioning, and access boundaries. You can define which collections are available to which agents, keep sensitive HR or client data isolated, and enforce deletion policies that align with Swiss legal requirements. The result is a reliable knowledge layer that supports automation without compromising governance.

Launching an agent program requires more than a pilot. yeos includes reporting on usage, sources, and outcomes so teams can measure adoption and value. Leaders can see which agents drive impact, how often tasks are automated, and where human review is still required. This clarity keeps budgets predictable and upgrades intentional.

The platform also supports migration from existing assistants or scripted workflows. With structured agents, tools, and collections, teams can standardize how work is done across departments while preserving the flexibility that SMEs need. The result is a scalable foundation for AI operations that grows with your business.