AI Agent and Enrich Layer Integration

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Use AI Agent and Enrich Layer together to build smarter chatbots, where AI responses are enhanced with real-time data. Latenode lets you visually build this integration with no-code ease, scale reliably, and customize anything with JavaScript.

AI Agent + Enrich Layer integration

Connect AI Agent and Enrich Layer in minutes with Latenode.

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Automate your workflow

Swap Apps

AI Agent

Enrich Layer

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect AI Agent and Enrich Layer

Create a New Scenario to Connect AI Agent and Enrich Layer

In the workspace, click the β€œCreate New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a AI Agent, triggered by another scenario, or executed manually (for testing purposes). In most cases, AI Agent or Enrich Layer will be your first step. To do this, click "Choose an app," find AI Agent or Enrich Layer, and select the appropriate trigger to start the scenario.

Add the AI Agent Node

Select the AI Agent node from the app selection panel on the right.

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AI Agent

Configure the AI Agent

Click on the AI Agent node to configure it. You can modify the AI Agent URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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AI Agent

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Connect AI Agent

Sign In
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Run node once

Add the Enrich Layer Node

Next, click the plus (+) icon on the AI Agent node, select Enrich Layer from the list of available apps, and choose the action you need from the list of nodes within Enrich Layer.

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AI Agent

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Enrich Layer

Authenticate Enrich Layer

Now, click the Enrich Layer node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Enrich Layer settings. Authentication allows you to use Enrich Layer through Latenode.

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Enrich Layer

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Connect Enrich Layer

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Run node once

Configure the AI Agent and Enrich Layer Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Connect Enrich Layer

Enrich Layer Oauth 2.0

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Change

Select an action *

Select

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The action ID

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Run node once

Set Up the AI Agent and Enrich Layer Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Webhook response

Save and Activate the Scenario

After configuring AI Agent, Enrich Layer, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking β€œRun once” and triggering an event to check if the AI Agent and Enrich Layer integration works as expected. Depending on your setup, data should flow between AI Agent and Enrich Layer (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect AI Agent and Enrich Layer

Salesforce + Enrich Layer + AI Agent: When a new lead is created in Salesforce, the lead's information is sent to Enrich Layer to gather additional data. This enriched data is then sent to the AI Agent to analyze sentiment and potential value. Finally, Salesforce is updated with this analysis to prioritize leads.

Enrich Layer + AI Agent + Slack: When a new user is added to a system, Enrich Layer enriches the new user's data. The enriched data is then sent to the AI Agent to determine the sentiment. If the sentiment is negative, a message is sent to a dedicated Slack channel alerting the team.

AI Agent and Enrich Layer integration alternatives

About AI Agent

Use AI Agent in Latenode to automate content creation, data analysis, or customer support. Configure agents with prompts, then integrate them into workflows. Unlike standalone solutions, Latenode lets you connect AI to any app, scale automatically, and customize with code where needed.

About Enrich Layer

Enrich Layer inside Latenode automates data validation and enhancement. Fix errors and add missing info to leads or contacts. Clean up data from any source before it reaches your CRM or database. Latenode handles complex logic and scales the process without per-step costs, keeping data accurate and workflows efficient.

See how Latenode works

FAQ AI Agent and Enrich Layer

How can I connect my AI Agent account to Enrich Layer using Latenode?

To connect your AI Agent account to Enrich Layer on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select AI Agent and click on "Connect".
  • Authenticate your AI Agent and Enrich Layer accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I enrich AI Agent outputs with real-time data using Enrich Layer?

Yes, with Latenode you can seamlessly enrich AI Agent data using Enrich Layer's real-time information, improving accuracy and contextual relevance of AI-driven insights.

What types of tasks can I perform by integrating AI Agent with Enrich Layer?

Integrating AI Agent with Enrich Layer allows you to perform various tasks, including:

  • Automatically enriching customer data gathered by AI Agent conversations.
  • Using AI Agent to summarize enriched data for reporting purposes.
  • Dynamically updating AI Agent knowledge bases with Enrich Layer data.
  • Personalizing AI Agent responses based on real-time user information.
  • Triggering actions in other apps based on enriched AI Agent insights.

Can I use JavaScript to customize my AI Agent workflows on Latenode?

Yes, Latenode allows full JavaScript integration, letting you tailor AI Agent logic, handle complex data transformations, and build advanced automations.

Are there any limitations to the AI Agent and Enrich Layer integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Enrich Layer data access is subject to your Enrich Layer subscription limits.
  • Complex AI Agent workflows may require significant processing time.
  • Real-time data accuracy depends on the data sources used by Enrich Layer.

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