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Steel distillation columns and pipework in a petrochemical plant

Connect the deviation to the records behind it.

A process deviation can involve production logs, laboratory results, maintenance events and procedure revisions. Welf helps the investigation team bring those records into one traceable chronology before it assesses causes and next actions.

For your teams

Process engineering · Operations · Quality · Reliability

Inside the workflow / example

Assemble a deviation investigation pack.

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.

Potential starting points

Join the records around the process.

Other starting points for your team. Prioritize by case volume, current effort and access to the required records.

Collect affected procedures, equipment records and prior decisions into a draft management-of-change package.

Assemble laboratory results, production context and deviation history for the quality team to investigate.

Find comparable maintenance scopes, equipment documents and open findings to support planning reviews.

Systems & control

Work with what runs your business.

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

Authority

Data access, permitted actions, approval rules and recovery paths are defined before deployment.

Establish the value

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.

See the delivery model

Candidate measures

Evidence assembly time · Missing source references · Investigation preparation effort

A sensible first scope

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 delivery

AI capabilities

The engineering behind the next workflow.

Explore the tasks, integration choices and deployment models your team needs to assess.

Bring 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