We built an AI that asks before it acts. Here is the architecture.

Описание и применение

Система Weio обеспечивает доверительные взаимодействия с ИИ, предоставляя ответы с привязанными источниками, требуя явного одобрения действий и ведя неизменяемый журнал аудита, тем самым снижая риск ошибок.

Задача

Users must manually copy AI answers between tools, leading to slow coordination and potential errors when AI interacts with live systems.

Результат

The system delivers trustworthy AI interactions by grounding answers in source citations, requiring explicit user approval for actions, and maintaining a comprehensive audit trail, reducing risk of accidental data changes.

Рабочий процесс

• 1. User asks a question in the AI tool.
• 2. AI retrieves relevant sources from connected apps and generates an answer with attached citations.
• 3. If the user wants an action, the AI proposes a structured action with resolved values.
• 4. The proposal is displayed for user approval.
• 5. Upon approval, the action is executed via the connector.
• 6. The proposal, approval, and result are logged in an audit trail.

Доказательства

When you ask about something in your connected data, the reply comes back with the specific source it drew from attached to it.

Источник

The model produces a proposal, a structured description of the exact action it wants to take, with the concrete arguments filled in.

Источник