Case Study: Ooti achieves natural-language access to ERP data with Rakam AI

Ooti gives construction teams natural language ERP access with Rakam AI, hitting 92% tool accuracy

Ooti, an ERP provider for architecture firms, faced a challenge because its users, such as project managers and finance teams, needed access to complex financial data but lacked the technical skills to write queries or navigate complicated dashboards. To address this, they partnered with the vendor Rakam AI to implement an AI Data Agent.

Rakam AI's solution was a plug-and-play AI agent that interprets natural language questions, checks user permissions, and queries the ERP data—even generating code when necessary—to provide structured answers. The measurable results for Ooti included a 92% tool accuracy rate, a 97% faithfulness score, and a cost of less than $0.10 per question. This gave construction teams simple, natural language access to their critical data.

Ooti