Before We Begin

I've spent more than three decades building software for organizations.

The technologies changed faster than I expected. XML replaced paper. Distributed systems replaced monoliths. Cloud replaced servers. Artificial intelligence is changing software again.

Yet one observation has remained surprisingly constant.

Organizations have become remarkably good at recording work, coordinating work and automating work. They are still surprisingly poor at helping people reason about what should happen next.

Every generation of enterprise software promised to remove complexity. In many ways it did. But each breakthrough also revealed a new layer of complexity hiding above it. We digitized documents, then struggled with integration. We automated workflows, then struggled with coordination. We connected systems, yet decisions still became fragmented as they travelled through the organization.

Over the last few years I've found myself returning to a question that feels larger than any individual technology.

What determines what an organization is actually capable of accomplishing?

Not what its people know individually. Not how many AI models it has deployed. Not how many workflows it has automated.

What determines its collective ability to form good judgments, align around them, and act on them consistently?

These essays are an attempt to explore that question.

They are not a product announcement, and they are not predictions about the latest wave of AI. They are observations drawn from years spent building enterprise systems, startups, and infrastructure across different technological eras.

Some essays are historical. Some are architectural. Some are technical. Others are philosophical. Together they explore a single idea:

The purpose of software is not merely to automate work. It is to increase what organizations are capable of accomplishing.

The products and technologies I work on today are one consequence of that belief, not the starting point.

If these essays succeed, they will give you a different vocabulary for thinking about organizations. You may begin to see organizational friction where you once saw coordination overhead. Decision systems where you once saw AI tools. Organizational capability where you once saw automation.

If that happens, the series has done its job.

Welcome.