Case Study: Airtable achieves no-code machine learning invoice predictions with Aito.ai

Airtable adds no-code machine learning in 10 minutes with Aito.ai

Airtable faced the challenge of manually assigning general ledger (GL) codes to new purchase invoices within their Airtable base, a time-consuming process that required human intervention for each entry. They sought a no-code solution to automate this task using machine learning, which led them to the vendor Aito.ai and its predictive service.

Aito.ai implemented a solution that connected the Airtable base to its machine learning platform using the integration tool Integromat. The setup automatically sent new invoice rows to Aito for analysis, which then predicted and returned the missing GL codes along with a confidence score. This resulted in the automatic population of invoice records, significantly speeding up the accounting process and demonstrating impressive predictive accuracy with minimal setup time for Airtable.

Airtable