One Year. Thank You for the Trust

One year ago, AISymmetric was an idea. Today, it is a company I could not have described accurately even six months ago.

Before discussing AI, consulting, or the future of work, I want to start with gratitude. To our customers who trusted us with meaningful problems, prospects who invited us into their businesses, partners who built alongside us, and the team, friends, and family who made the journey possible: thank you. Trust is easy to say and difficult to earn. We don't take yours lightly.

I never planned to build a consulting company. I spent more than twenty years in and around the industry, often challenging the way it operated. A friend recently asked whether I ever pictured myself doing this. My answer was no. The path was less a grand design than a series of convictions I could no longer ignore.

Our first conviction was that AI would make great people dramatically more capable. Our second was that consulting would have to change when the cost of creating useful work fell. Both remain. But what those ideas mean in practice has evolved almost weekly.

We got plenty wrong in our first year. We revisited our original delivery thesis, sales model, operating processes, and assumptions about time. We learned that trust cannot be automated, even when much of the work around it can. We learned that faster delivery does not automatically mean faster decisions for customers. And we learned that building a better service sometimes means questioning the service you sold yesterday.

The gains were real, too: sharper focus, better partners, faster feedback, and an increasingly repeatable way to turn a conversation into something tangible. What matters to me isn't a list of impressive activity metrics. It's whether customers can see, use, and benefit from what we create.

That is why I'm starting Near Real-Time Observations. This will not be a weekly advertisement for AISymmetric, nor a collection of predictions dressed up as certainty. I want to write about what we are actually experiencing: the wins, the failures, the uncomfortable changes of mind, and the emerging patterns across AI, engineering, business, and consulting.

Some observations will age well. Others won't. I'll revisit both. A point of view that never changes in a market moving this quickly is probably not paying close enough attention.

The first year taught me that the most important asset we are building isn't software or a consulting playbook. It is the ability to learn, adapt, and earn trust again tomorrow.

Welcome to the journey. Year two starts now.