Formal models of business activity have always been expensive to produce. The work requires reading large amounts of material, comparing inconsistent descriptions, finding hidden conditions, resolving terminology, identifying exceptions, and expressing the result in a precise structure. Large language models change the cost of this work. They do not remove

A business-domain model is not created by placing several process diagrams next to one another. It requires a coherent definition of how the processes share Entities, states, facts, rules, and results. Glages begins with reusable process models and composes them into a model of an entire class of business.

Most automation is priced and built as a single implementation. A team studies one company, creates one solution, connects it to one environment, and then repeats much of the same work for the next client. A reusable process model changes that economic structure. Once a process has been formally modeled

A factory is defined by what comes out of it. Glages produces reusable formal models of business processes and business domains for AI automation. That sentence matters because the product is not an agent, a workflow, or a consulting project. The product is a model that can be checked, reused,

AI automation is often built around agents that must reconstruct a business activity while they are already acting. They receive documents, records, APIs, and a goal, then determine which facts matter, which rules apply, what action is permitted, and what the result means. Glages takes a different approach: it produces