Our Perspective

If someone’s selling you an ‘AI-native, AI-first, AI-centric, agentic AI’ platform, be cautious.

It’s too soon. Experience shapes our view of AI. These principles define it. Our work follows.

Big AI is evil.

We don’t trust them, and you shouldn’t either. They’re skimming your business value. They can’t be stopped, but our design approach minimizes it.

Principle · 02

Big AI is stealing your company’s ‘secret sauce’

Yes. At every opportunity, they are actively gleaning your proprietary internal processes, industry know-how and unique ‘value add,’ to increase the capability of their models. Effectively stealing your business’s unique value, making it theirs, and selling it to everyone else.

You can’t stop it completely, but you can employ strategies to reduce it significantly. This starts by not handing everything over to one provider. This means all-in-one AI solutions are a big mistake.

A collection of smaller, targeted AI components, that expose minimal proprietary data, spread out between multiple providers is the way to go.

Principle · 03

It’s too early to make big bets and pick winners

The market leading providers of today are unlikely to be the long-term winners. The way their solutions work today is unlikely to be how they work once AI stabilizes. Nobody knows who the winners will be.

This means big bets on a single provider or single solution are a risky gamble that could cost you your business. Solutions that work perfectly today can become ineffective, obsolete, unaffordable, or irrelevant in a matter of weeks.

The incumbents that survive will be those constantly redefining themselves.

Principle · 04

AI adaptation will change your market’s operating model

How and when is unknowable, at this point. Predicting the future correctly is not a requirement. Early market leaders, early adopters and first movers get mixed results. Those moving too slowly, or treating experimentation as optional, will fade away.

What you must do, immediately, is build in capacity to experiment, adapt, and change direction as the AI-enabled future reveals itself.

The Answer

A Provider-Agnostic Approach

A core principle of our design approach is to avoid reliance on a single provider for multiple AI-enabled optimizations, as this exposes your business to significant risk. Of course, we can work with any provider.

We’re GrayWire. We’re different. We build targeted AI-enabled components, that bolt onto the systems you have. We stick to narrow AI, which keeps it accurate, reliable, stable and improves your business.

Small, Targeted, Spread Out. That’s the Strategy.

The cycle that delivers it is KAAIZEN. The components it delivers are our building blocks.

Let’s Connect

Talk It Through With Us

In normal English, without AI-gobbledygook, and without a hard sell.