AI Assistants for Requirements Management Below Their Potential

How can we use AI effectively in times of increasing product complexity to enhance requirements quality and to conduct a holistic quality analysis? Certainly not by analyzing requirements one by one without the context of the entire project. Rather we need an agent that is scalable and provides domain- and product specific expert assistance.

An AI system that truly understands the domain and product under development has the potential to improve productivity by an order of magnitude: This frees up time for senior team members, as many  simple but time consuming tasks can be automated and onboarding of new junior colleagues or research is assisted  via chat bot, semantic search and other useful tools. 

However, many so-called “AI assistants” still only analyze one requirement at a time. This approach can detect weak words or help writing better requirements by following text templates; but these improvements are incremental, not revolutionary.

Instead, imagine a system that analyzes complete product specifications with  hundreds of thousands of requirements in context and takes traceability into consideration. Such a system could identify gaps and contradictions, create and maintain tests and much more. 

That’s our vision at Raiqon.AI. Remember to schedule a call for a demo and a trial.