Sierra, an AI agent platform only three years old, is reportedly operating at a US$150m revenue run-rate, valued at US$16bn, and serving more than 40% of the Fortune 50.

The headline numbers are remarkable. But the more interesting point may be how Sierra is growing.

Its forward-deployed engineers work closely with customers, adapting the platform to their workflows, data and operating realities. That is often presented as a radical departure from the SaaS model.

I am not sure it is.

For decades, enterprise platforms from companies such as Microsoft and Salesforce have depended on system integrators and consultants to turn broadly capable technology into something useful in a particular organisation. The vendor supplied the platform. The SI supplied the context, implementation and change management.

Sierra seems to be combining those roles: creating a general-purpose agentic platform, while retaining much of the capability required to deploy it effectively.

That may be the real development. Not that software and services are converging - they have always been intertwined in enterprise technology - but that an emerging platform company can increasingly own both sides of the equation.

For system integrators, this creates a new round of musical chairs. Some work that once sat naturally with the SI may move in-house to the platform company. Equally, the scale of enterprise deployment will still create opportunities for partners with deep industry expertise, delivery capacity and customer trust.

The question is how quickly these two groups develop a common language - and a mutually beneficial model for sharing revenue, accountability and customer outcomes.

That is where the market structure may genuinely change.

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