Written by Tea Kauppinen, Team Lead at OrangIT
One of the most expensive mistakes in software development has always been poor specification. Vague requirements lead to endless rework, churn, and blown deadlines. In business, the same thing plays out in different clothing: fuzzy goals, misaligned priorities, and entire teams pouring energy into the wrong things.
AI doesn’t change this dynamic. It amplifies it.
A vague prompt to an AI tool might waste a few seconds. You ask for something, it gives you the wrong thing, and you try again. That doesn’t sound too bad. But scale that vagueness across a strategy, across dozens of workflows, across an entire organization, and suddenly the waste isn’t measured in seconds. It’s measured in millions.
I saw this lesson play out in the gaming industry, back when I was working as a backend developer. On one project, our specifications for the game’s reward mechanics kept shifting. At first, the designs were little more than hand-wavy ideas. We’d spend weeks building systems, only to throw everything out when the mechanics were reimagined or some new twist was added. It was frustrating — for the developers writing code, for QA trying to test moving targets, and even for the designers themselves, who felt they weren’t getting what they envisioned.
The turning point came when I sat down with our lead designer, who also had a programming background, and explained the economics of clarity. We needed more than “ideas”. We needed concrete numbers, formulas, and rules that wouldn’t evaporate at the first gust of inspiration. Once those details were written down from the start, progress accelerated dramatically. We were no longer rewriting weeks of work. QA had a clear set of specifications to validate against. And the end result matched the vision precisely, because the vision was finally explicit.
That experience has stuck with me. Clarity isn’t bureaucracy. It’s the cheapest insurance policy you can buy. It reduces rework, speeds up delivery, and aligns teams. With AI in the picture, it becomes even more critical. Contract-based prompting and structured requirements don’t just prevent waste — they turn AI into a multiplier, producing consistent, high-quality outputs at scale.
An organization that invests in clarity will always outpace one that relies on winging it. The economics are undeniable.
So I’ll leave you with this: where do you see the hidden costs of vagueness in your organization? Because they’re always there in the churn, the miscommunication, the fire drills, and the quiet frustration. The question is whether we’re willing to face them head-on, and whether we’ll give AI the clarity it needs to actually pay off.
Originally published at https://www.linkedin.com.