Dodge AI raises $2.65M seed round to automate enterprise software maintenance with AI agents

Enterprise software platforms are central to large organizations but require continuous upkeep. Each deployment is different. A company may start with a basic Salesforce implementation and then add thousands of custom rules, configurations and workarounds over years. That complexity leads many organizations to hire large systems integrators such as Accenture Plc or IBM Corp., which assign teams of 20 to 50 people to handle support tickets, upgrades and daily operations.

Dodge AI co-founder and Chief Executive Rebhav Bharadwaj does not argue that the systems-integrator model has failed, but he says it is not the most efficient way to work. Hundreds of fixes can go undocumented, while customizations accumulate and technical debt compounds, he said. After several years, many companies become dependent on the integrators they hired to understand and operate their own software. “For a long time, the only way to maintain enterprise systems was to add more people,” Bharadwaj said.

Dodge AI has developed what it describes as a control plane for enterprise software maintenance that is controlled by AI agents. The system is designed to be overlaid on platforms including SAP, Salesforce and Microsoft Dynamics, allowing agents to analyze a deployment and understand its customizations and configurations. The company says the agents can identify the root cause of failures, recommend and implement fixes, and handle maintenance issues faster than human teams. They also document changes, exceptions and custom logic, which helps organizations understand their own IT infrastructure. “Dodge AI gives enterprises the ability to continuously improve and heal their mission-critical systems so incidents can be resolved faster, technical debt can be understood and the knowledge trapped inside maintenance work can become the foundation for future transformation,” Bharadwaj said.

At the core of the system is what Dodge AI calls an “exception intelligence context graph.” It connects business processes, enterprise resource planning configurations and legacy systems. Bharadwaj said exceptions are key because they explain why, for example, separate warehouses may allocate inventory differently, or why one pricing rule overrides another. The company’s agents capture and document that logic to build a centralized source of truth for maintenance work.

Dodge AI claims it has already convinced several large enterprises to replace human consultants with its AI agents. It is not naming those customers. The startup said it is handling hundreds of queries per hour and resolving issues that would normally take hours or days within minutes. In one case, it helped a customer determine that a warehouse loading failure was caused by an incorrect Goods Receipt Note across multiple systems and fixed the problem in minutes. In another, it helped a customer optimize a continually crashing SAP inventory planning process, making it 132 times faster than before.

The startup now wants to move beyond maintenance and help companies accelerate digital transformations. Many organizations want to modernize but are worried about breaking critical systems and applications, according to Bharadwaj, who believes understanding custom logic is key to preventing that.

Editor's Summary

Dodge AI raised $2.65 million in seed funding co-led by Accel and Google AI Futures Fund to automate enterprise software maintenance with AI agents. The startup says its control plane can document customizations, resolve incidents and reduce reliance on large systems integrators for platforms such as SAP and Salesforce. It claims early enterprise customers have already used the agents to fix issues faster and improve SAP inventory planning.