Infor Uses Forward-Deployed Engineering To Move AI Into ERP Execution
Getting AI (artificial intelligence) from a promising demo into real business processes is becoming the next challenge for ERP (enterprise resource planning) vendors and their customers. In his ERP Today article, Robert Kramer looks at how enterprise software giant Infor is using forward-deployed engineering (FDE) and its AI Adoption Hub to move AI solutions into production more quickly. Rather than treatig AI deployment as a one-time implementation, Infor is building a repeatable process for developing, deploying and continuously improving AI within ERP environments. Forward-deployed engineering puts engineers closer to customers and their real-world workflows. This allows AI solutions to be developed and tested against actual business requirements instead of being designed in isolation. Infor says its approach can move many AI solutions into production in about four weeks.
The AI Adoption Hub is intended to take that process a step further. It uses AI to help prototype, refine, deploy and manage AI solutions throughout their lifecycle. The goal is to make what engineers learn from one implementation reusable rather than starting from scratch with every customer. Kramer points out that speed alone isn’t enough. AI still needs to be connected to real workflows, governed appropriately and measured against business outcomes. The real test is whether organizations can move beyond experimenting with AI and actually put it to work. The bigger shift is that ERP is moving from being primarily a system of record to a system of action. AI agents are increasingly expected not just to provide insights, but to help execute the work.
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