Case Study: Sage achieves faster document processing and reconciliation with Rakam AI

A Rakam AI Case Study

Preview of the Sage Case Study

Sage cuts data entry and reconciliation time by 50% with Rakam AI

The customer Sage faced a challenge with the significant manual effort and time required for repetitive upstream accounting tasks, such as reading various document formats, data entry, and reconciliation. This work was costly and prone to human error. To address this, Sage worked with vendor Rakam AI to implement an AI agent that integrates directly into its existing software.

The solution from Rakam AI was an agent that automates reading documents, proposing entries, matching payments, and reconciling bank statements. It handles clear-cut cases automatically and flags uncertain items for human review. This implementation resulted in a 50% reduction in time spent on data entry and reconciliation, with documents processed in under two seconds and the day's entries posted automatically overnight.


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