And why it never signed your corporate compliance policy.
You give your AI tool a research question about a competitor. A few minutes later, you have a polished answer with sources. It feels like magic.
But do you know how it got there? Which queries did it use? Which sources did it visit? What did it miss? And could the way it conducted the research reveal something about your own intentions?
An intelligence story that all of us know all too well.
It is 1:52 pm on a Tuesday. Our analyst is attempting the delicate manoeuvre of swallowing her second coffee when a message arrives from her boss:
For the past few years, software vendors and AI evangelists have promoted a compelling narrative to Competitive Technical Intelligence (CTI) teams: automate complex technology intelligence, scan patents, build technology roadmaps, identify emerging threats, and deliver strategic assessments ready for the boardroom.
A CI/MI Practitioners Guide for Using AI in CI/MIby Thorsten Bill
by Thorsten Bill
Guess what AI researchers are borrowing to deal with uncertainty, unreliable AI output and hallucinations?
A method CI/MI practitioners already know: Delphi.
by Thorsten Bill
As Competitive and Market Intelligence (CI/MI) practitioners, we face a compounding paradox: blind spots are expanding faster than ever, yet our leadership demands faster strategic clarity on lower budgets.
Every experienced Competitive and Market Intelligence (CI/MI) practitioner has seen it: by Thorsten Bill
You ask a frontier AI model to analyze a market threat, and it hands you a brilliant, 30-page deliverable. The prose is fluent, the structure is clean, and the analytical tables look ready for the board.
One person. One AI tool. Ten minutes. That's now enough to generate a fake video, a synthetic voice clip, or a fabricated news story convincing enough to move a stock price, spook investors, or unravel a reputation built over decades.
As AI makes many CI/MI analysis steps faster and cheaper, practitioners might reasonably ask themselves: is CI/MI turning into just an AI-prompting task, or will it be absorbed entirely by data science and automation?by Thorsten Bill
Your Team Has the Answer. It Just May Not Reach the Decision.
