Research across business transformation shows an appalling failure rate. This rate is based on studies covering multiple years, by different groups, looking at thousands of projects. Now, every organization relies on applications to drive its business, and generative pre-trained transformer models and AI increase this reliance.These are appalling statistics. If this were the construction industry, we would never cross a bridge or take the elevator up a skyscraper.
This data is recent. It hasn’t improved with better systems development tools. We now have low code that allows the non-technical to develop applications, which arguably makes matters worse, as we will see.Now, more than ever, the reason for project failure is that the applications that support the business transformation do not deliver what the end users need. Here’s why.There are no third-party checkpoints at any point in the project.
We are already seeing change intelligence platforms use GPT to take some of these time-consuming tasks and deliver them faster with a level of accuracy that makes the business analyst more productive. GPT can take the process diagrams and write the user stories with acceptance criteria. It can even come up with technical solutions based on the configuration of existing systems while taking into account architect best practices.
This is not only a huge time saver, but it also increases the accuracy of the user stories. As the user story is the final deliverable that is passed to the development team, it is the last chance to ensure that the project delivers the right solution.
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