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AI Tables - Overview

AI Tables are dynamic, fully customizable data structures powered by AI.They go far beyond traditional spreadsheets

Alvaro Vargas avatar
Written by Alvaro Vargas
Updated over a week ago

AI Tables

AI Tables are dynamic and fully customizable databases powered by AI.
They are much more than a spreadsheet — they are intelligent data models that store, connect, and generate information across your workspace.

You can use AI Tables to organize your company data, power your AI agents, or automate internal processes, all within the Frontline platform.


What are AI Tables?

AI Tables let you structure and manage information in a flexible way.
They can:

  • Be automatically populated by AI from conversations, forms, or integrations.

  • Update in real time, allowing your AI agents to write and retrieve information.

  • Connect to other tables to form relationships (for example: Leads → Customers → Orders → Invoices).

📸 Screenshot of the AI Tables overview showing multiple tables in a workspace (Support Tickets, Real Estate, Leads, etc.)

Whether you're building an internal CRM, a real estate assistant, or a customer support agent — AI Tables give you the flexibility to model any use case.


Creating and managing tables

You can manage all your tables from the Platform → Tables section.
This is where you can create, edit, and explore all the information your agents and workflows rely on.

To create a new table:

  1. Go to Platform → Tables.

  2. Click Create table and enter a name (for example: Leads, Tickets, or Properties).

  3. Double-click any table to open it and view or edit its fields.

📸 Screenshot of a table open in the editor, showing columns and the “Add Field” button

Each table can contain multiple field types to structure your data:

  • Text – for general information.

  • Number – for numeric values or IDs.

  • Boolean – for true/false values.

  • Date / Date & Time – for timestamps or scheduling data.

  • Select – for predefined options such as status or priority.

  • Relation – to connect data between tables.

  • Phone, URL, or Email – for structured contact data.

For more detailed instructions, see How to Create and Configure a Table.


Using AI with your tables

AI Tables can be filled, cleaned, or updated automatically by the platform’s AI.
This allows your agents and workflows to work with live, accurate information at all times.

Common AI features include:

  • AI Autofill: automatically complete missing fields.

  • AI Suggestions: propose corrections or new entries based on context.

  • AI Linking: detect and relate information between tables.

  • AI Imports: upload CSV or XLSX files and let AI map and clean data automatically.

📸 Screenshot of a Support Tickets table automatically populated and categorized by AI


Connecting tables with workflows and agents

Every table in Frontline can be linked to Workflows and Agents, allowing your company to operate as a connected system.

When a new record is added or updated in a table, it can trigger a workflow instantly.
For example:

  • When a new Lead is added, notify your sales team.

  • When a Ticket is resolved, send an automatic message to the user.

  • When an Invoice is created, update your finance system.

This connection between tables, workflows, and agents makes it possible to manage your operations end-to-end inside Frontline.
It’s a 360° system where every piece of data can start an action or response.

📸 Diagram showing the connection between AI Agents, Tables, and Workflows (AI Agent → Table → Workflow → Table)

For setup details, see Connecting Tables to Workflows.


Example use cases

AI Tables can be used to support many different processes across industries.
Some examples include:

  • Leads: store and track potential customers.

  • Customers: maintain a simple CRM with contact history.

  • Support Tickets: manage incoming issues and responses.

  • Orders and Invoices: track transactions and payments.

  • Real Estate Listings: organize property data for an AI real estate agent.

  • Recruitment: manage candidates, interviews, and hiring stages.

  • Projects or Work Orders: track progress, owners, and deadlines.

📸 Screenshot showing multiple tables for Leads, Orders, and Customers inside a workspace

Each table can connect to others, helping your AI agents understand and act on the relationships between them.


Integrations and connectivity

If the external system you use has an API, you can connect it directly to your AI Tables.
Frontline can synchronize information automatically, keeping all data up to date across tools.

Some common integrations include:

  • HubSpot or Salesforce for lead and deal management.

  • Google Sheets or Airtable for imports and data enrichment.

  • WhatsApp or forms to create records directly from user interactions.


Exporting data

You can export your data at any time from the Actions menu inside a table.

  • Export as CSV

  • Export as XLSX

This is useful for reporting, analysis, or backups.


Common questions

  • Can I create a table for real estate listings?

  • How can I track sales leads or proposals?

  • Can my AI agent update tables automatically?

Yes — all of these are possible.
AI Tables are designed to be flexible and can support any data model your business needs.


Best practices

  • Use Relation fields to connect information between tables.

  • Create Select fields for consistent options like status or priority.

  • Combine with Workflows to trigger actions when records change.

  • Use AI to populate or clean tables automatically through natural language prompts.


Pro tip:
When you combine AI Tables, Workflows, and Agents, you can manage most of your company’s operations directly in Frontline.
It’s a 360° automation platform that learns, stores, and acts on your data in real time.


¿Querés que te deje ahora la versión en español con el mismo formato y estilo (manteniendo los captions 📸 en inglés)?
Así la podemos subir a la versión es del Help Center para mantener la paridad de artículos.

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