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The AI for Work Assistant is your workspace hub for executing tasks, managing workflows, and coordinating across connected apps using natural language.

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Getting Started

Log in to the Platform. The AI for Work Assistant is available on the homepage. Type an open-ended question or instruction in the Ask or search anything search box. For example, if you’re connected to Jira, type Get my Jira issues — the Jira agent retrieves your issues automatically.

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Agentic Flow

The Platform manages complex, multi-step workflows by organizing tasks into a structured sequence, each handled by a specialized agent. Each agent performs a unique function, executes in the correct order, and passes information seamlessly to the next — enabling multiple instructions to complete with minimal manual effort. Key capabilities:
  • Coordinate multiple agents across connected apps in a single instruction.
  • Execute tasks sequentially with automatic handoff between agents.
  • Edit or delete individual actions before starting the flow.
  • Review and approve outputs (such as draft emails) before final execution.
Use when: You need to chain tasks across multiple apps or automate a multi-step workflow in one request.

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Agentic Flow Example

Instruction: “Get my Jira issues. Let me know John Doe’s availability for a meeting tomorrow. Send the Jira issues to John Doe.” Agents involved:
  1. Jira — Fetches the user’s Jira issues.
  2. Google Calendar — Checks John Doe’s availability for a specified time.
  3. Gmail — Sends the fetched Jira issues to John Doe via email.
agentic-flow Steps to execute the flow:
  1. Enter your instructions and press Enter. Each action is mapped to its respective agent.
  2. Hover over any instruction to display the Edit and Delete icons to modify or remove individual actions.
  3. Click Start to initiate the flow. Tasks execute sequentially.
  4. The first two actions run automatically.
  5. For the third action, a draft email is created. Review and edit the draft, then click Send to complete the task.

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File Storage and Data Handling

When you upload files during chat sessions, files are stored in managed cloud storage (AWS S3) under a multi-tenant architecture. This applies to:
  • All file uploads in Platform chat sessions.
  • Documents processed through Search AI functionality.
Files uploaded during chat sessions are stored in the platform’s cloud infrastructure.
Data security: All files in the platform’s managed storage are protected with industry-standard encryption to ensure data confidentiality and integrity.