Technology
Engineering the intelligence layer.
Intelligence becomes more useful when it is connected to the systems where work actually happens.
Intelligent software
We build products around operational workflows: the sequence of work, the records it produces, the rules it must respect, and the actions that follow. The software is the system of work, not a layer of commentary on top of it.
Workflow automation
Where a step is repetitive, rules-based, and expensive to do by hand, we automate it. Where a step needs judgment, we keep a person in the loop and give them better context.
AI
AI is an engineering capability. It is most useful when it can see the same data, constraints, and workflow the rest of the product uses. We avoid presenting models as the product.
AI agents
An agent, in our terms, is a component that can understand context, reason with tools and data, help decide, and act. The loop is:
Data
The records, files, and events the business already produces. Without this, an agent is guessing.
Context
Workflow state, permissions, constraints, and the definition of a finished job.
AI Agent
Understand. Reason. Decide. Bounded by the product’s rules — not an open-ended personality.
Action
Write back to the system, create an artifact, notify someone, or start the next step.
Outcome
Work completed with a trail. The system can improve because the action happened in the same place as the work.
This is the architecture we design toward. FMOS today is workflow software for furniture manufacturing. Agent capabilities will be introduced where they can sit inside that work — not as a separate “AI product.”
Data systems
Operational data has to be structured, owned, and retrievable. Intelligence that cannot point at a record is not operational intelligence.
APIs & integrations
Products should be able to connect: ingest what already exists, emit what other tools need, and avoid forcing a rip-and-replace unless the workflow truly requires it.
Architecture
Clear product boundaries. A parent company that can hold more than one system. A first product that proves the approach in one industry. We do not list programming languages here as a substitute for a technical story.