My most interesting ChatGPT use case has been using it as a reasoning copilot for governance work in regulated cybersecurity, not as a writing bot.
A good example was a NIS2/security-governance assessment in Sweden. The problem was ambiguous: unclear scope, decentralized operations, mixed maturity, and uncertainty around which entities might actually be in scope.
I used ChatGPT to help structure the problem into a working governance hypothesis, separate assumptions from evidence, and build two artifacts:
a detailed internal thinking document with the reasoning chain
a short PowerPoint meant to open discussion with stakeholders rather than pretend certainty
The interesting part was not faster document writing. It was using ChatGPT to turn regulatory ambiguity into a testable decision structure and stakeholder-ready framing.
For me, that’s where it gets valuable: translating messy rules, organizational ambiguity, and risk questions into something leadership can actually discuss.