An AI Guru initiative
Industrial AI Guru helps operations, maintenance, quality, and leadership teams turn plant documents, operator knowledge, logs, and workflows into practical AI copilots and decision-support systems.
Built by AI Guru® — applied AI products, enterprise deployments, and production-grade AI systems.
Inputs
Industrial AI Layer
Grounded · cited · workflow-aware
Teams supported
We designed and built MillMind — an AI platform for pulp & paper mills — now running live with JMC across their mills.
The problem
Most plants already have the raw material for better decisions: maintenance logs, manuals, SOPs, quality reports, shift notes, inspection records, incident reports, and years of operator experience. The problem is that this knowledge is scattered across PDFs, binders, spreadsheets, emails, systems, and people. Industrial AI Guru helps convert that scattered knowledge into practical AI systems teams can query, trust, and use inside their real workflows.
Senior operators know the plant, but that expertise is difficult to capture and transfer.
Manuals and SOPs exist, but finding the right answer during operations is slow.
Logs, reports, and past incidents are disconnected from daily decision-making.
Generic AI tools are not grounded in your process, constraints, documents, and workflows.
Use cases
Focused copilots and decision-support workflows that can be piloted, measured, and adopted by real teams.
Make SOPs, manuals, inspection reports, maintenance records, and safety documents searchable and answerable — with citations.
Learn moreHelp maintenance teams reason across equipment manuals, historical work orders, troubleshooting notes, and failure patterns.
Learn moreSupport quality teams with faster access to process specs, inspection history, defect patterns, and corrective-action knowledge.
Learn moreTurn expert operator know-how into reusable knowledge for onboarding, troubleshooting, and shift-to-shift continuity.
Learn moreAssist teams in comparing current issues against past incidents, logs, maintenance actions, and process changes.
Learn moreSummarize operational themes, recurring issues, improvement opportunities, and decision risks for plant and business leaders.
Learn moreIndustries
Initially focused on practical cross-industry patterns, with deep attention to environments where documents, safety, and equipment history drive real cost.
AI for mill documents, maintenance support, quality troubleshooting, production knowledge, and operator assistance.
AI for production lines, quality teams, maintenance workflows, engineering documents, and operational knowledge.
AI for environments where process knowledge, safety procedures, logs, and equipment history matter.
AI assistants for equipment documentation, service teams, customer support, field technicians, and troubleshooting knowledge.
AI for asset-heavy operations where uptime, reliability, and process documentation drive real cost.
AI systems that help capture lessons learned, compare recurring issues, and scale knowledge across plants.
Approach
We identify the highest-value Industrial AI use cases across documents, operations, maintenance, quality, and leadership workflows.
We connect AI to your real plant knowledge: manuals, SOPs, logs, reports, process context, and expert input.
We build focused copilots and decision-support workflows that solve specific operational problems.
We help deploy, evaluate, and improve the system with your teams so it works well beyond the demo.
Why us
We start with plant workflows, not generic AI features.
Systems are designed around source documents, citations, context, and traceability.
We focus on what can be implemented, tested, and adopted by real teams.
The team behind Industrial AI Guru designed and built MillMind, an AI platform now running live in pulp & paper mills with JMC — not a slide, a system in daily use.
Where possible we design around customer-owned knowledge, flexible architecture, and clear handoff.
Engagements
Low-risk, high-clarity engagements designed to prove practical value before scaling.
A focused discovery engagement to identify 3–5 high-value AI use cases, assess data and document readiness, and define a practical implementation roadmap.
Deliverables
A focused pilot that turns selected manuals, SOPs, reports, and logs into a searchable, cited AI assistant for one plant, process area, or function.
Deliverables
A workflow-specific prototype for maintenance, troubleshooting, quality, or operational decision support.
Deliverables
Insights
Industrial AI is real and valuable, yet a majority of projects stall before production. Here is why they fail — and the practical pattern that gets them adopted.
Read insightIf you can only run one industrial AI pilot, make it document intelligence. It is low-risk, high-value, and it builds the foundation every later copilot depends on.
Read insightThe most valuable knowledge in a plant lives in a handful of experienced heads. Here is how to capture it before it walks out the door — and turn it into a copilot teams can use.
Read insightTell us about the plant, process, document set, or operational problem you want to improve. We will help identify whether AI can create practical value and what a first pilot should look like.