The push to deploy agentic artificial intelligence (AI) is creating a new challenge for enterprises running decades-old enterprise resource planning (ERP) systems. As companies add AI agents to existing technology stacks, CIOs must weigh whether those investments simplify operations or add another layer of integration complexity.
AI agents can automate parts of ERP implementation and operation, potentially reducing the time and labor involved in modernization projects. However, adding AI to complex legacy environments can introduce additional integration and data-management challenges.
One alternative comes from Yolm, an AI business platform provider that advocates consolidating fragmented application architectures around a single operational data foundation. Its ONE business operating system is designed to build applications around a company's existing workflows rather than requiring those workflows to conform to traditional ERP modules.
Anne Bruce, Yolm's chief technology evangelist, argues that agentic AI gives enterprises another reason to reconsider traditional ERP modernization strategies. The company's approach centers on a single live database that applications and AI agents can access rather than maintaining separate copies of operational data.
