Case Study: Cegid achieves faster ERP reconciliation and less manual data entry with Rakam AI

A Rakam AI Case Study

Preview of the Cegid Case Study

Cegid cuts manual data entry and reconciliation by 50% with Rakam AI

Cegid, a user of its own Cegid XRP Flex ERP software, faced the challenge of highly repetitive and time-consuming manual tasks within the system, such as data entry, reconciliation, and document searches. These activities were costly and took their teams away from more valuable work. Rakam AI implemented an AI agent that integrates directly with the ERP's existing APIs to automate these processes.

The solution from Rakam AI involved an agent that reads, writes, and reconciles data through Cegid XRP Flex, handling tasks from invoice processing to answering plain-language queries. The results included cutting the time spent on data entry and reconciliation by 50% and autonomously handling 9 out of 10 records without human intervention.


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