Bring intelligence into the process.
Process variation affects throughput, energy use and product quality. Shift teams need a consistent picture across historian data, laboratory results and operating procedures.
The industrial opportunity
Small variations. Consequences across the plant.
Correlate deviations and assemble the approved procedures for investigation. Test advisory recommendations against yield, energy intensity and off-spec production, without bypassing process controls.
Inside the workflow / example
Assemble a deviation investigation pack.
One potential application. Welf connects your data and systems, engineering the application with the people who understand the operation.
What comes in
The deviation record, relevant batch or campaign identifiers, laboratory results, equipment events and effective procedures.
What AI prepares
Align the timeline, retrieve potentially related records and identify missing evidence. Label hypotheses as hypotheses and keep the underlying observations accessible.
What your team decides
Process and quality specialists assess the evidence and determine the response. Setpoint changes, safety functions and release decisions remain outside the preparation workflow.
A closer look
What goes into the work.
Explore the questions that matter for your project.
Join the records
around the process.
Process engineering · Operations · Quality · Reliability
Change preparation
Collect affected procedures, equipment records and prior decisions into a draft management-of-change package.
Quality investigations
Assemble laboratory results, production context and deviation history for the quality team to investigate.
Turnaround planning
Find comparable maintenance scopes, equipment documents and open findings to support planning reviews.
Integrated into your operation.
Process setpoints, safety limits and change approval remain with designated specialists. Recommendations carry the source record and time context; inconsistent evidence is escalated.
System environment
Process historians · LIMS · MES · EAM · Document control · Management-of-change records
Responsibility
Access, permitted actions, approvals and recovery paths are defined before deployment.
Measure evidence quality
and engineering effort.
Measure evidence-gathering effort, missing records and corrections to the chronology. Faster preparation alone does not establish root-cause accuracy or reduced recurrence.
Candidate measures
Evidence assembly time · Missing source references · Investigation preparation effort
Start with one investigation type.
Choose a recurring investigation type with retrievable records. Resolve tag names, timestamps and revision status before treating records as comparable evidence.
Plan the first deliveryBring a case your team knows too well.
Describe the task, the systems involved and what makes it difficult. We can use that context to discuss a first workflow and the evidence it would need.
Start a conversation