AI workers
AI workers are the action layer of the world model. They don't answer questions. They complete work. Each worker is an autonomous AI employee with a defined role, a set of tools, and full access to the company world model. They draft, decide, execute, and report, grounded in the live context of how the organization actually operates.
The principle
Every AI worker is grounded in the company world model. This is what makes them structurally different from any point-solution AI tool on the market. An AI SDR that operates without a world model can send emails. An AI SDR grounded in the world model sends emails that reflect the current state of the pipeline, the strategic priorities of the quarter, the product roadmap, the competitive landscape, and the specific history of every prospect. The difference is not cosmetic. It is the difference between a tool and a colleague.
No point-solution AI tool can replicate this, because none of them share a common model of the company. They each see their own silo. A world model sees the whole organization.
Anatomy of an AI worker
Every AI worker we build is custom. There is no off-the-shelf product. We design each worker for a specific role within a specific company. But the architecture is consistent. Every worker is composed of four layers.
Context from the world model. The worker has continuous access to the company's live world model. This is what gives it organizational awareness: the strategy, the pipeline, the people, the history, the current state of everything that matters. The worker does not need to be briefed. It already knows.
System prompt. A detailed job description that defines the worker's role, responsibilities, boundaries, tone, and decision-making authority. This is the equivalent of a job spec for a human employee, written with the precision that an AI requires.
Tools. Each worker is connected to the APIs and MCP servers it needs to do its job. A sales worker connects to the CRM and email infrastructure. A product worker connects to the ticketing system and analytics. The toolset is scoped to the role. Workers only have access to what they need.
Workflows. The orchestration logic that determines when the worker acts, what triggers it, how it sequences tasks, and when it escalates to a human. Workflows are designed per use case and tuned over time as the worker operates.
We build these workers as an agency. You tell us the role. We design the worker, connect it to your systems, ground it in your world model, and deploy it. Every worker benefits from the same shared intelligence layer, which means every new worker you add already understands the full context of the organization from day one.
AI workers are how Worldmodel touches reality. The world model knows. The workers act. The humans decide.