The problem
Repetitive knowledge work: plenty of effort, little added value.
A significant share of the time of process and safety engineers, commissioning engineers and acceptance staff is spent on document work that is highly repetitive and low in discretion: reading reference materials, extracting structured data, filling templates with local variations. It is skilled work that requires domain expertise but not creativity: exactly the perimeter where an AI agent, well anchored to the enterprise context, gives hours back without putting quality at risk.
Three agents
Three domains, one method.
Safety documentation
Interference risk assessments, method statements, operational plans. The agent reads the technical specifications, identifies interference risks, drafts compliant documentation and leaves discretionary choices to the safety lead.
What the agent does
- ✓ Extracts requirements from specs and contracts
- ✓ Drafts compliant risk and method documents
- ✓ Flags inconsistencies across documents
- ✓ Stops the flow for safety-lead validation
Commissioning plans
For each plant, a commissioning plan is a structured document: test sequences, acceptance criteria, per-discipline checklists. The agent drafts it starting from the functional scheme, the engineer reviews.
What the agent does
- ✓ Reads P&ID diagrams and bills of materials
- ✓ Proposes test sequences per discipline
- ✓ Generates editable checklists
- ✓ Traces every requirement back to its source
Warehouse acceptance
When a batch arrives, conformity control cross-checks delivery note, order, data sheet and spec. The agent orchestrates the comparison and presents the operator with only the real discrepancies.
What the agent does
- ✓ Cross-checks delivery note, order, data sheet, spec
- ✓ Surfaces only the relevant discrepancies
- ✓ Pre-fills the acceptance report
- ✓ Remembers recurring non-conformities
Methodology
The agent produces, the expert reviews, the system learns.
Context anchoring
Every agent starts from the enterprise knowledge graph: documents, codes, internal rules, precedents. No out-of-domain hallucinations.
Structured artefact
The output is an editable document, not a chat. The expert reviews, corrects and approves without having to rebuild the context.
Memory that grows
Each review feeds the knowledge graph. The system learns enterprise preferences, exceptions, recurring cases.
Which of the three agents weighs most on your processes?
We start from an assessment on a real case: together we measure the skilled time spent today on compilation and show you, on your own domain, how much can be handed to the agent.
Book an assessment →