Standardization Is The Missing Piece Of Most AI Strategies

Nick Damoulakis is President of Orases.

I’ve watched organizations go from barely talking about AI to having people across nearly every department experimenting with it. Employees are finding ways to work faster, automate repetitive tasks and use capabilities that weren’t available to them a year ago.

The challenge comes when I ask what happens after those experiments start producing results.

Which approaches should the organization support? When does an experiment become something worth scaling? How does a successful workflow in one department become something another department can learn from rather than something they have to discover independently?​

That’s where standardization becomes important.

Every Team Doesn’t Need Its Own AI Playbook

AI adoption is showing how quickly individual employees can find useful applications without waiting for a formal enterprise initiative. A salesperson uses AI to turn call transcripts into tailored proposals. A finance team uses AI to turn monthly reports into a plain-language summary. A developer uses AI to identify unfamiliar code or draft documentation.

The problem isn’t that people are experimenting independently. The problem is what happens when every successful experiment remains independent.

I’ve seen companies where multiple teams solve the same problem with different tools, processes and definitions of success.

Over time, that fragmentation becomes expensive. Teams spend time solving problems that someone else has already solved, employees develop different approaches to similar tasks, and leadership loses visibility into where AI is actually creating value.

The organization has plenty of AI activity, but no system for turning it into organizational value.

Standardization Doesn’t Mean Taking Away Flexibility

The Real Value Of A Standard Is What Happens After The Pilot

But a successful pilot creates another question that organizations don’t always answer: What happens after the experiment proves its value?​