Many of our clients were already using AI to some degree to help with transformation. For instance, they were leveraging chatbots to help modernize legacy system code.

The problem they faced, however, was that complex enterprise software environments leave little room for error, and the open-ended nature of chatbots controlled using natural language didn’t always yield the necessary level of precision. Teams often had to iterate across multiple variations of prompts to get the results they sought, and even then, they weren’t always perfect.

To address this challenge, we built our own prompt markup language tailored for enterprise transformation. With a focus on capabilities like ontology awareness, audit-friendly evidence generation and repeatable workflows, the language has allowed us to leverage AI as an accelerator for transformation projects with a much higher degree of accuracy and predictability. It also saves a lot of time, thanks to the ability to leverage templates and prompt changes as a way of automating transformation tasks at scale.