From Rules to Intelligence: Rethinking How We Build Complex Systems

Details

AI can write requirements. But can you trust them?

Your most experienced engineers are still the last line of defense against unclear requirements.

That doesn’t scale, and AI alone won’t fix it unless objective evaluation is built into the process.

As AI accelerates the generation of requirements, test cases, and documentation, a new challenge emerges: how do you know the output is actually correct, complete, and fit for purpose?

Generative AI and structured quality evaluation serve two distinct purposes.
One authors. The other judges.

Organizations that blur this line are already seeing the impact. Requirements that pass review but fail in testing, risk in regulatory submissions, and systems that don’t fully meet their intended purpose.

The teams getting ahead aren’t avoiding AI. They’re not just asking AI to generate better requirements. They are building a governance evaluation layer that makes AI-assisted development safe to scale.

Requirements quality is the guardrail. Without it, speed comes at the cost of system integrity.

What you will learn:

  • Why requirements quality is a governance problem, not just an authoring task, and how objective evaluation creates an accountability layer that AI alone can’t provide.
  • How generative AI and structured validation work together, and why keeping them separate protects the integrity of your engineering record.
  • How to introduce milestone-based quality checkpoints that surface risk early, from proposal through delivery.
  • Practical ways to detect and resolve misalignment sooner, using structured standards to close the gap between junior and senior engineer output.
  • How requirements quality data becomes a leadership visibility tool, helping you track trends across projects, programs, and teams.

Why attend?

Join Morgan Kostal and Martin Fay for a practical discussion on how leading engineering teams are embedding requirements quality into their governance workflows.

You’ll learn how to use AI to accelerate authoring—without losing the structured evaluation that complex and regulated environments demand.

When is it?

Thursday, April 16th at 12:00 p.m. ET. The session runs for 30 minutes, followed by a 10-minute live Q&A.

QRA Presenter