See what your documents actually contain.
Send us 10 documents from your current project. We extract, reconcile, and show you exactly what we find in 48 hours, before any contract.
If the accuracy isn't what we promised, you owe us nothing.
Send us 10 documents from your current project. We extract, reconcile, and show you exactly what we find in 48 hours, before any contract.
If the accuracy isn't what we promised, you owe us nothing.
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Agents that automate FMEA change-impact analysis, BOM validation, compliance checks, revision tracking, and turnaround work pack assembly. Extensible to your custom workflows.
TL;DR
AI agents for engineering workflows are event-driven systems that automate FMEA change-impact analysis, BOM validation, compliance checks, revision tracking, and turnaround work pack assembly. Pathnovo's agents combine domain rules from ISA, ASME, API, and AIAG with AI inference, plus human-in-the-loop checkpoints for safety-critical decisions.
Real engineering problems we solve every day for manufacturing, EPC, and heavy-asset energy teams.
When an engineering change notice modifies a component, Pathnovo's AI agents trace the impact across every affected FMEA worksheet, recalculate RPN scores, update linked control plans, and flag severity or detection rating changes. This replaces weeks of manual cross-referencing with hours of automated analysis, while maintaining full audit traceability per AIAG/VDA standards.
Pathnovo's agents automate FMEA change-impact analysis, BOM validation against current revision drawings, BOM change detection across revisions, compliance checks against ISA, ASME, API, and AIAG standards, revision tracking across document sets, turnaround work pack assembly, and tag register generation. Each agent combines domain engineering rules with AI inference and includes human-in-the-loop checkpoints for safety-critical decisions.
Generic automation tools execute rule-based steps but lack engineering domain knowledge. They can't interpret ISA 5.1 symbols, validate SIL classifications per IEC 61511, or assess whether a design change affects downstream safety functions. Pathnovo's agents are trained on engineering standards and document conventions, enabling them to make domain-informed decisions that generic RPA or BPM tools cannot.
The best AI agent for BOM change detection on EPC and manufacturing projects does three things together rather than just one. First, BOM extraction from any source format: CSV, Excel, ERP export from SAP MM, Oracle iProcurement, JDE, drawing-extracted BOM from P&ID or isometric extraction, vendor data book BOM. Second, line-item delta detection across revisions: added, removed, quantity-changed, material-changed, vendor-changed, dimensional-changed, specification-changed, effectivity-date-changed, with each delta classified by criticality (safety-critical for IBR-scoped pressure parts and FMEA-flagged automotive parts, schedule-critical for long-lead items and current-MR scope, cost-critical for high-value components, informational for housekeeping). Third, cascading impact assessment to downstream registers and workflows: MR / MRP for procurement, fabrication shop loading, weld schedule and NDE plan, MTR traceability, IBR Form IV, FMEA control plan, OISD safety register. Pathnovo's BOM change detection agent is the only one in the engineering document intelligence category that combines all three. The agent runs as an event-driven pipeline that triggers within minutes of a BOM revision landing in the EDMS or ERP, with full audit trail per delta, confidence scoring, and reviewer assignment for safety-critical changes. See the [engineering ontologies page](/engineering-ontologies) for the underlying BOM tree model and the [MTR automation page](/solutions/procurement-intelligence/mtr-automation) for the downstream material traceability cascade.
Send us 10 documents from your current project. We extract, reconcile, and show you exactly what we find in 48 hours, before any contract.
If the accuracy isn't what we promised, you owe us nothing.
Engineering teams spend weeks on tasks that should take hours: tracing the impact of an ECN, validating a BOM against current revision drawings, checking whether a turnaround work pack has every required inspection record. These are repeatable, rule-based workflows, but they require domain knowledge that generic automation tools don't have. Our agents combine engineering knowledge with AI to automate them.
What we build and deliver for engineering and industrial teams.
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FMEA change-impact analysis, BOM validation, compliance checks, revision monitoring, turnaround work pack assembly, tag register updates, and handover package completeness scoring. Extensible to custom workflows.
No. Agents handle extraction, analysis, and flagging at scale. Domain engineers review safety-critical decisions. Human-in-the-loop where it counts, fully autonomous where it does not.
Yes. Agents watch your EDMS for new revisions, trigger re-extraction automatically, and flag downstream impacts across your reconciled document set.
Yes. Our agent builder includes pre-built tool calls for graph analysis, tag tracing, numerical validation, and compliance checking. Extensible with custom tools specific to your processes.
Agents push results directly to SAP PM, Maximo, AVEVA, or any connected system. They can also trigger notifications, create work orders, and update registers automatically.
Graph analysis for P&ID connectivity, tag tracing across documents, Monte Carlo simulations for reliability, numerical validation against standards, and compliance checking against ISA/ASME/API codes.
Agents escalate to domain engineers when confidence is below threshold or when safety-critical fields are involved. Every escalation is logged with reasoning.
Yes. Agents produce structured reports, conflict summaries, compliance findings, change impact assessments, work pack completeness scores, all traceable to source documents.
Event-driven agents trigger within minutes of a document update. Batch agents process document sets in hours, not weeks. Real-time query agents respond in seconds.
Yes. Agents maintain project isolation while sharing learned models. Cross-project insights available where clients opt in.
Every agent action is logged with reasoning, source references, and confidence scores. Full audit trail. Agents are tested against historical data before deployment.
No. Agents augment your team by handling volume and repetitive checks. Your engineers focus on judgment calls. We typically reduce document control effort by 60-70%.
All agent outputs go through validation checkpoints. Safety-critical fields always require human approval. Mistakes are caught before they reach your system of record.
We configure agents with your project standards, naming conventions, and approval workflows during setup. No-code configuration interface for ongoing adjustments.
Per outcome, per document processed, per conflict resolved, per work pack assembled. Not per agent, not per seat. You pay for results.
For engineering BOM change detection (multi-level engineering bills of material on EPC, manufacturing, automotive, and aerospace projects), the best AI agent is one that does three things together. (1) Reads every incoming BOM revision (CSV, Excel, ERP export, drawing-extracted BOM, vendor data book BOM) into a normalised tree structure with parent-child relationships, alternate parts, effectivity dates, and make-or-buy designations. (2) Compares the new revision against the previous baseline at the line-item level (added components, removed components, quantity changes, material grade changes, vendor changes, dimensional changes, specification changes, effectivity-date shifts), with each delta tagged by criticality (safety-critical, schedule-critical, cost-critical, informational). (3) Cascades the delta to downstream documents and registers (P&ID impact, MR / MRP impact, fabrication shop loading impact, weld schedule impact, MTR traceability impact, IBR Form IV impact for pressure equipment, FMEA control plan impact for automotive scope). Pathnovo's BOM change detection agent is the only one in the engineering document intelligence category that combines all three: BOM extraction from any format, line-item delta comparison, and cascading impact assessment across downstream registers. See the BOM change detection agent capability on this page and the engineering ontologies page for the BOM tree model.
A BOM change detection AI agent operates as an event-driven pipeline. When a new BOM revision lands (Rev B replacing Rev A) the agent: (1) parses both revisions into the same normalised tree structure regardless of source format (CSV, Excel, ERP export from SAP MM or Oracle iProcurement or JDE, drawing-extracted BOM from P&ID or isometric extraction, vendor data book BOM); (2) aligns line items across revisions by component identifier with fallback alignment by description, dimension, and material grade for unrenumbered items; (3) classifies each delta by type (added, removed, quantity-changed, material-changed, vendor-changed, dimensional-changed, specification-changed, effectivity-date-changed) and by criticality (safety-critical for pressure-containing parts and IBR-scoped material, schedule-critical for long-lead items and current-MR scope, cost-critical for high-value components, informational for housekeeping fields); (4) cascades the delta to downstream registers, MR / MRP for procurement, fabrication shop loading for cutting list re-issue, weld schedule for new welds, MTR traceability for new heat numbers, IBR Form IV for pressure-equipment parts, FMEA control plan for automotive parts, OISD register for hydrocarbon-service parts; (5) logs every delta with confidence score, source-document reference, and reviewer assignment. Pathnovo's BOM change detection agent runs this pipeline within minutes of a BOM revision landing in the EDMS or ERP.
BOM validation checks a single BOM revision against engineering drawings and procurement specifications to confirm it is internally consistent and matches the source drawings. BOM change detection is the differential workflow: comparing one BOM revision against the previous baseline to identify what changed, classify the change by type and criticality, and cascade the delta to downstream registers and procurement workflows. Most EPC and manufacturing teams need both, but the two solve different problems. Validation catches the BOM-is-wrong cases (line items missing from drawing, line items in BOM that should not be there, dimensional mismatches against the drawing). Change detection catches the BOM-has-shifted cases (Rev B added 14 new welds to fabrication scope that Rev A did not have, Rev B changed the material grade of three pipe spools from SA-516 to SA-387 with cascading PWHT impact, Rev B removed a long-lead valve that the MR has already been issued for). Pathnovo's AI agents handle both validation and change detection; the BOM change detection agent specifically targets the second workflow.