From operating data to completed tasks

Define the operating result

Start with the decision or task: trace a quality issue, assess equipment conditions, compare energy arrangements or prepare a shift handover. Identify the relevant records, professional method and expected result.

AI Workforce carries tasks through tool use, follow-up and human handover. Industrial Platform supplies industrial objects, data relationships, professional calculation and application runtime. Select either product or combine them; professional applications can be licensed individually, and customers can use their own AI.

Work coordinates tasks, Core provides industrial context and computation, and Edge connects field systems and runs appropriate local capabilities. These are supporting technologies. Select the components needed and reuse suitable customer systems.

Match records

Assets, processes, periods, energy records and production conditions describe the task.

Compare feasible plans

Suitable models explain changes and options; specialists assess them against operating requirements.

Approve and track action

The responsible person approves the plan, site personnel carry it out, and action records and subsequent operating data support ongoing improvement.

Connect calculation, action and feedback

New operating records enter their associated equipment, process or material context. The application checks their meaning and conditions, uses the appropriate professional models and produces analysis or an operating option. Work can connect this result to the relevant task and people.

The selected mode determines whether the result is analysis, a recommendation for confirmation or an action within agreed authority. Execution and subsequent records remain linked to the original task, so the team can assess the result and maintain the method. System execution and human review can follow different schedules.

Adjust steam supply to production demand

When production pauses, steam demand may fall while supply and heat-retention requirements remain. Energy metering, equipment status and production events from the same time window help specialists identify necessary consumption and worthwhile operating changes. Models compare supply conditions and options; site decision-makers approve action, and subsequent records show the outcome.

Trace quality through materials and processes

Quality traceability connects products and batches to material, process and inspection records. Defined process standards can support online checks and feedback on exceptions. These capabilities draw on previous industrial practice.

Established relationships and rules support routine investigation. New defects, changed processes or uncertain material attribution may require specialist judgment. Site teams can collect specified facts and carry out agreed checks; the application retains the evidence and follow-up.

Assess equipment in its operating context

A temperature change means more when considered with equipment load, ambient conditions and relevant history. Equipment-specific methods can support monitoring, diagnosis and maintenance preparation.

Qualified teams carry out checks and maintenance that follow established procedures. Specialists assess unfamiliar symptoms, conflicting evidence or changes that require engineering judgment. The method and actual task determine that boundary; being on site does not automatically make a task expert work.

Help the next user adopt a method that has worked

Energy analysis, quality tracking and maintenance methods can be retained as models, data definitions and task configurations. A new team selects suitable applications and configures its own assets, records and access. Each reused capability retains its contributor, version and permitted use. Handover includes an actual task exercise and support route so users can operate, handle exceptions and maintain the work.

For your deployment