Published: February 15, 2026
Calgary LLM Operations Knowledge Base for Industrial Teams
A Calgary operations knowledge base should answer real shift questions quickly and with traceable sources. Practical LLM systems succeed when retrieval quality and governance are treated as product requirements.
Where Industrial AI Usually Fails
AI work breaks down when it is treated as a model project instead of an operating change. Plants need source data with context, clear ownership for outputs, a way for operators to challenge recommendations, and integration boundaries that keep advisory workflows separate from control execution.
Priority Use Cases
- Answer 'what changed' questions during upsets using shift logs and alarms.
- Surface step-by-step SOP excerpts for recurring events.
- Recommend likely checks based on current process context.
Data Readiness Checklist
- Chunked SOPs, incident reports, and manuals with version tracking.
- Metadata tags for equipment, process area, and document validity.
- Query logs tied to user role and shift context.
System Integration Pattern
- Use retrieval-first architecture before free-form generation.
- Inject current process context from SCADA/historian at query time.
- Display top sources inline so operators can verify quickly.
Deployment Deliverables
- A scoped use-case definition that names the decision, user role, source systems, and acceptable failure behavior.
- A data readiness review covering historian quality, event context, asset hierarchy, permissions, and retention limits.
- A validation plan that starts with read-only or advisory output before any operational workflow depends on the model.
- A support model for drift review, user feedback, access control, audit logs, and post-incident learning.
Governance and OT Safety
- Separate authoritative procedures from advisory tips.
- Require periodic review of stale documents and prompt templates.
- Monitor sensitive data leakage and block unsafe query patterns.
KPIs to Track
- First-answer resolution rate
- Average search time per issue
- Source citation coverage
- Escalations caused by incorrect answers
30-60-90 Day Plan
- Day 1-30: curate corpus and metadata for one process area.
- Day 31-60: pilot with supervisors and reliability engineers.
- Day 61-90: expand to 24/7 operations with governance checks.
Related Service Paths
Ignition SCADA integrationOperational screens, events, historian context, alarm data, reporting, and operator workflows.APC and optimizationControl strategy, model rollout, constraint handling, and production-stability improvements.AI readiness discussionA practical review of data sources, workflow risk, governance, and integration fit.