Airtable
Your AI agent reads, writes, and updates Airtable records through natural conversation. Customers ask questions, the agent fetches data from your bases in real-time. No more sharing links to complex views or explaining filters. Just answers.
Your AI agent becomes fluent in your Airtable bases, handling record lookups, table updates, and data creation while customers simply chat.
Airtable
See how organizations use AI agents to give customers direct access to Airtable data without sharing credentials or building portals.
A client asks about their project's current phase at 9 PM. Your AI Agent queries your project tracking base in Airtable, finds their project by company name, retrieves the status field and recent milestones, and reports back with next steps and timeline. The client gets immediate visibility into their work without waiting for Monday's email update.
A wholesale buyer asks if you have 500 units of a specific SKU available. Your AI Agent searches your Airtable inventory base, checks current stock levels across warehouse locations, and provides real-time availability. If stock is low, the agent offers to create a backorder record directly in your orders table. Faster deal cycles without manual stock checks.
An attendee wants to register for your upcoming workshop. Your AI Agent collects their name, email, and session preferences through conversation, creates a new record in your Airtable registrations table, and confirms their spot. No landing page required. No form abandonment. Just a conversation that ends with a confirmed registration.
Airtable
FAQs
You configure this during agent setup. Map intents to specific bases and tables. When a customer asks about orders, the agent queries your Orders table. When they ask about projects, it queries Projects. You control the routing logic based on conversation context.
Yes. The agent retrieves linked record data when fetching records. If a customer asks about an order and that order links to a Customer record, the agent can pull related customer details in the same query, presenting a complete picture without multiple round trips.
You define access rules in the agent configuration. Filter queries by customer email or ID automatically. A customer asking about orders only sees their orders, even if your Airtable base contains everyone's data. The agent enforces row-level security through query filters.
No. Every query executes against Airtable's API in real-time. Record data passes through to generate responses but is not persisted in Tars systems. Your Airtable bases remain the single source of truth.
The agent supports all Airtable field types that the API allows at creation time. This includes text, numbers, dates, single and multi-select, checkboxes, and linked records. Attachments require URLs to existing files. Computed fields like formulas are read-only.
Configure deletion permissions per table. Allow deletes only for specific record types or disable them entirely. You can also require confirmation phrases before destructive actions. Most customers enable create and read, but restrict update and delete to specific scenarios.
Airtable allows 5 requests per second per base. Tars manages request queuing and batching automatically. For high-volume scenarios, the agent batches record operations (up to 10 records per call) and distributes queries to stay within limits. Enterprise customers can discuss higher throughput architectures.
Shared views require users to understand Airtable's interface. Interfaces need design work. Tars AI Agents let customers query data using natural language from any channel, including WhatsApp and SMS where Airtable cannot run. Plus, the agent can write data back, not just display it.
Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.
Privacy & Security
At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.
Email - sales@hellotars.com
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