Platform Tour

Ema's canvas is the starting point for building agentic AI applications. It provides a no-code workspace where implementation engineers can assemble multiple AI agents into a coordinated mesh, connect them to enterprise data and tools, and manage workspace-level policies -- all from a single screen.

Signing In

1. Navigate to app.ema.co.
2. Enter your corporate email address and select Continue.
3. Check your inbox for a one-time login link sent by Ema.
4. Based on your organization's settings, you may be redirected through your identity provider before Ema completes authentication.
5. After authentication, you land on Ema's canvas -- the unified workspace where you create and monitor AI Employees, configure integrations, and administer workspace settings.

The persistent navigation rail on the left side of the canvas gives you one-click access to all core work areas: AI Employee creation, integrations, chat history, and workspace administration.

AI Employees Page

The AI Employees page lists all AI Employees currently available in the workspace. Each is presented as a card showing the AI Employee's name, role summary, running state, and quick actions.

• Select Use to open an interactive console where you can issue tasks against connected data sources and manage the associated AI Employee configuration.
• Select Create an AI Employee for a blank canvas to design a bespoke AI Employee that can be provisioned in minutes.

Autopilot

For a faster starting point, use the Autopilot entry point on the AI Employees page. Describe the AI Employee you want in natural language -- for example, "I need a customer support bot that answers billing questions from our knowledge base" -- and Ema generates a draft workflow you can review, refine, and publish. Autopilot is particularly useful when you are unsure which template best fits your use case or when you want to prototype quickly before committing to a manual build.

Pre-Built AI Employee Templates

A template catalog sits beneath the live AI Employees and provides pre-built blueprints (such as Agent Assist and Employee Assistant) for rapid deployment. You can also extend the catalog by publishing your own templates, making them immediately available to the broader workspace.

Integrations

No workflow is complete without external data and tools. The Integrations area lets you link the workspace to more than 200 enterprise applications -- Salesforce, ServiceNow, Google Workspace, and others.

For each connector:

1. Authenticate with the required account or service principal.
2. Scope read and write permissions at the object or field level.
3. Confirm activation when the connector card shows Connected.

Once a connector is active, every AI Employee in the workspace can call its APIs or ingest its data according to the permissions you granted.

Conversational Workspace

The Chat section maintains a chronological log of your interactions with every AI Employee. Use these transcripts to:

• Audit decisions made by the AI Employee.
• Copy outputs into downstream systems.
• Resume unfinished requests.

Conversations are private to the initiating user and can be deleted at any time.

Voice

Ema supports Voice AI Employees that interact with end users over phone or voice channels. Voice AI Employees use the same GWE workflow engine as other types but add voice-specific configuration: accent and speed settings, Voice Activity Detection (VAD) tuning, call routing rules, and phone number assignment for inbound and outbound calls. Voice is suitable for phone-based customer support, IVR replacement, and voice-enabled assistants.

Custom Code Execution

For workflows that require logic beyond pre-built agents, the Custom Code Agent allows builders to run arbitrary code within a GWE workflow. This is useful for custom data transformations, API integrations with non-standard protocols, or domain-specific calculations that are best expressed in code rather than prompt instructions.

Workspace Administration

The gear icon in the lower-left corner of the navigation rail appears only for workspace administrators. Opening it launches the Settings panel, where admins can:

• Manage the user roster. Invite new members or remove existing ones from the workspace.
• Set roles and permissions. Grant, restrict, or modify each user's access level across every AI Employee or the workspace as a whole.

Next Steps

You now have the foundational context for navigating the Ema canvas. In the following sections, you will build a production-ready AI Employee, connect it to live enterprise data, and apply governance controls that meet large-scale operational standards.