Industry 04

Manufacturing and industrial

Vertical AI agents are landing on factory floors. The orchestration, safety, and audit layer that lets a plant put them into production without losing operational control is the work.

BeitSystems engineers that layer. Kill switches the plant manager can reach. Autonomy tiers per agent and per shift. Immutable audit trails the regulator can query. Where the agent is delivered by a vendor, we wrap it. Where the agent is built in-house, we govern it.

What BeitSystems wires around the agent.

  • Autonomy tiers per agent. Suggestion-only, recommendation, recommendation-with-auto-execute, full execution. Tier is configurable by operator and by shift. Every action checks the tier policy before executing.
  • Kill switches reachable from the floor. The plant manager has a documented control that freezes all agent activity immediately. Reactivation requires explicit administrative approval. The kill switch is wired to the running system, not to a dashboard.
  • Append-only audit trails. Every action by every agent is logged with who, what, when, and from where. Logs are immutable, retained for twelve months minimum, queryable by safety teams and regulators.
  • Human-review queues for high-stakes actions. Actions above a configurable threshold are routed to a human reviewer with full context. The agent does not act until the reviewer signs off.
  • Accuracy self-tracking and self-demotion. The agent measures its own precision on rolling windows. When precision drifts below threshold, the agent reduces its own autonomy tier and notifies the operator.

Industrial operations across jurisdictions.

BeitSystems engages industrial operators across the regions the firm serves. The engineering discipline is the same in every context: the controls around the model rather than the model itself. The vertical AI vendor delivers the prediction, the vision, or the autonomous control logic. BeitSystems delivers the layer that lets the operator put it into production.

For proprietary process data and factory IP.

Public LLM APIs are not an option for production line data, supplier specifications, recipes, or proprietary process know-how. BeitSystems deploys open-weight models on the plant's infrastructure: on-premise, in the operator's cloud account, or in an enclave adjacent to the OT network. The work spans inference engine selection, GPU resource management, retrieval and grounding pipelines, observability, and the security perimeter around the deployment. Privacy, security, and inference efficiency are engineered together.

The honest constraint.

BeitSystems does not build vision models from scratch. We do not write PLC code at scale. We do not design predictive maintenance physics. Those are the work of vendors who have built their stacks over decades. Where the vertical AI is the work, the vertical AI vendor is the right firm. Where the question is how to put that agent into production safely, the practice exists.

For plant managers, vice presidents of operations, and chief information officers in industrial enterprises, engagement begins with a scoping call.