Flow by Agentic Machines

Troubleshoot commissioning with Flow.

Flow is an AI agent for plant engineers and commissioning teams. It ingests the complete plant documentation, reads selected signals from the plant controller, and processes information uploaded during commissioning. Flow helps you investigate deviations, trace the supporting evidence and determine the next diagnostic step.

Discuss your commissioning use case

From a test deviation to the next check

Illustrative example with fictional signals, test records and documents

Engineer
The cooling circuit does not respond as specified in test step 3. What should we check?
Flow
Between 10:42 and 10:44, the difference between PT-201 and PT-202 increased after XV-201 reported Open. The uploaded test record notes unstable cooling in the same interval. Compare the pressure trend and valve feedback with the expected response in CT-014, step 3. The timing indicates an event sequence, not a confirmed cause.

Sources shownController signals PT-201, PT-202 and XV-201 · 10:42–10:44Uploaded test record · 10:44Test procedure CT-014 · Step 3

Compare plant behavior with the engineering specification

When measured values or operating sequences differ from the test plan, Flow supports troubleshooting during commissioning. It reads selected process values, status signals and alarms from the plant controller, such as a PLC, and processes test records and observations you upload during commissioning. Using the complete plant documentation, Flow relates this information to the equipment and test step and supports comparison of expected and observed behavior. Controller access is read-only. Plant operation and decisions about further checks remain with the commissioning team.

  1. Bring the evidence together.

    Use the plant documentation, selected time-stamped controller signals, and test records and observations uploaded during commissioning.

  2. Compare expected and observed behavior.

    Flow uses the Agentic Twin to assign signals and test information to equipment and test steps. Compare measured values and operating sequences with the documented requirements.

  3. Determine the next diagnostic step.

    Flow identifies the signal tags, time intervals and document references supporting its answer. The commissioning engineer reviews the evidence and determines the next check.

The complete plant documentation is the foundation

Flow ingests the complete plant documentation. The Agentic Twin gives Flow the context of your specific plant by linking equipment tags, drawings, design notes and test procedures. During commissioning, selected controller signals and newly uploaded test information extend this context. Flow can relate an observed deviation to the documented design and operating requirements. Agentic Machines provides the Agentic Twin.

Find the relevant drawing or design note

Illustrative example with fictional documents

Engineer
Which drawing shows the instruments around separator V-101?
Flow
P&ID P-101 shows the separator and its instruments on sheet 2. Look for equipment tag V-101.

Source shownP&ID P-101 · Rev B · Sheet 2

Use Flow during commissioning

Define the plant area and test procedure. Provide the complete plant documentation, agree the selected controller signals and add test information as commissioning progresses.

  1. Prepare the plant context.

    Provide the plant documentation and define the equipment, signal tags and test steps.

  2. Add commissioning data.

    Read selected controller signals and upload current test records and observations.

  3. Investigate deviations.

    Use Flow to compare expected and observed behavior, review source references and determine the next diagnostic step.

What do you need to resolve during commissioning?

Tell us about the plant, controller and test procedure, and which measured values or operating sequences differ from the specification.

Discuss your commissioning use case