Clarity is a quiet kind of power!
The First Note
I'm Saurav Bakshi. I write Architecture Speak on Substack— for the Technology Leaders, CDAIOs and Enterprise Architects now expected to have the AI answer no one wrote down for them. I turn the noise into what actually changes a decision you own.
Why this, why now
Enterprise AI isn't short on information.
It is short on information written for you, which leaves technology executives to turn it into a decision alone.
For the whole last year when I was exploring Enterprise AI, and on each attempt, I was inundated with engineering frameworks, architectures and tools.
I struggled to find the information, that will help CDAIOs and Technology Leaders make decisions about the use and governance of AI.
AI engineering matters, but enterprise strategy and the decisions around it travel well beyond engineering.
The information sits in silos. It is greatly useful, but pulling it together takes time, and time is what decision-makers have least of.
I call it deciding in fog. You can move, but you cannot see far enough to be sure.
This is the situation most of us face. Finding clarity in it is my anchor and my mission.
This is my attempt to gather, curate and present the knowledge in actionable insights.
3 Main Goals
Cut the noise
I aim to strip the noise down to what truly touches the architecture and strategy in the language that a CDAIO and technology leaders speak.
Find the decision
Most AI writing explains what something is. The question that matters is what it changes: when a choice is forced, what tradeoff appears, and what breaks if you get it wrong.
Make it navigable
Complexity isn’t avoided; it’s structured. I turn a moving, uncertain field into something that a technology leader can hold, explain, and act on.


