service: Generative AI, AI & Machine Learning

Transform Your Knowledge and Operational Intelligence Into a Strategic AI Asset.   

Energy and Manufacturing companies run on knowledge—procedures, maintenance logs, engineering files, technical manuals, incident reports, SCADA tags, historian data, shift notes, and decades of operational experience.

But much of this knowledge is trapped in disconnected systems, paper documents, or the minds of your most experienced people.

As AI becomes central to operations, organizations need more than document storage. They need structured, searchable, high-quality knowledge that AI systems, copilots, and agents can trust.

Frame’s Knowledge Management services modernize how information is captured, organized, governed, and activated—turning enterprise knowledge into a powerful engine for decision-making, GenAI accuracy, and frontline productivity.

Frame delivers our clients:

We build the structure that makes knowledge discoverable and AI-ready.

This includes:

  • Domain and asset-based taxonomy modeling
  • Content classification and tagging standards
  • Semantic relationships between documents, equipment, processes, and procedures
  • Cross-walks between OT/IT/ET systems (SAP, PI, Maximo, SCADA, etc.)

Outcome: Knowledge that is logically organized, contextual, and queryable.

We unify knowledge from scattered sources across your enterprise:

  • SharePoint, Teams, file shares
  • SAP Plant Maintenance & materials data
  • Historian and OT logs
  • Engineering documents & CAD-linked metadata
  • Safety procedures and technical standards
  • Email, PDFs, scanned docs, and archives

Outcome: A single, searchable knowledge environment accessible to humans and AI

To support AI and RAG workloads, we make content machine-intelligent:

  • Text extraction and cleaning
  • Metadata enrichment and normalization
  • Generating embeddings for semantic search
  • Vector database indexing (FAISS, Pinecone, Weaviate, Redis)
  • Chunking strategies optimized for LLM accuracy

Outcome: Accurate AI answers powered by high-quality context.

Frame builds Retrieval-Augmented Generation (RAG) patterns that connect your knowledge to GenAI assistants and agentic systems.

Capabilities include:

  • Secure document retrieval
  • Context filtering and relevancy scoring
  • Source citation and traceability
  • Real-time content refresh pipelines
  • Integration with LLMs across Azure, AWS, GCP, and Databricks Mosaic AI

Outcome: AI responses grounded in your data—not hallucinations.

Knowledge must stay current to stay valuable.

We create governance models for:

  • Version control & approval workflows
  • Content freshness monitoring
  • Access & retention policies
  • Ownership roles (Knowledge Stewards, SMEs, domain owners)
  • Safety, compliance, and audit considerations

Outcome: Trusted knowledge that remains accurate over time.

Knowledge becomes meaningful when the right people can access it instantly.

We deliver:

  • AI-enhanced enterprise search
  • Natural-language querying
  • Task-specific knowledge assistants (maintenance, operations, engineering, HSE)
  • Personalized content views by role, asset, or process

Outcome: Workers get the right answer in seconds, not hours.

The Frame Difference – From Tribal Knowledge to AI-Ready Intelligence

With Frame’s Knowledge Management solutions, organizations consolidate decades of fragmented operational knowledge into a single, trusted system of record. Teams resolve issues faster, reduce downtime, and make safer decisions, while AI and GenAI systems are grounded in verified, governed content.

The result is a future-proof knowledge layer that improves workforce productivity today and enables RAG, copilots, and agentic automation tomorrow—turning static information into living operational intelligence.

Deep Understanding of Operational Knowledge

We know where knowledge lives—shift notes, SAP PM, OT logs, PDFs, SharePoint, engineering files—and how to unify it.

Built for High-Risk, High-Compliance Environments

Our KM frameworks respect safety, MOC, regulatory constraints, and engineering discipline.

Cloud-Agnostic & AI-Ready

Whether your AI ecosystem runs on Azure, AWS, GCP, or Databricks, we design knowledge workflows aligned with your platform strategy.

Integrated With GenAI, RAG & Agentic Systems

Knowledge is not an archive—it’s fuel. Our architectures are built for real-time AI use.

Houston-Led + Nearshore Delivery

Onshore leadership ensures quality, governance, and domain alignment; nearshore engineering provides cost-effective scale for enrichment, tagging, migration, and indexing

Make Your Operational Knowledge AI-Ready

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Built for these Industries

Built for industrial organizations that rely on accurate, accessible knowledge to operate safely, efficiently, and at scale.

Services We Offer

End-to-end Knowledge Management services that transform fragmented content into an AI-ready operational knowledge layer.

Case Studies

Automotive Manufacturer – Predictive Maintenance

A global automotive manufacturer struggled with unplanned downtime across critical production assets, including robots, conveyors, weld cells, stamping presses, and paint systems.

Real-time Pipeline Intelligence

A North American midstream energy company operated with fragmented operational systems and minimal analytics capabilities.

Petrochemical Plant – GenAI Operator Assistant

A major petrochemical plant faced increasing pressure to maintain high uptime while operating complex process units with aging equipment and a shrinking pool of experienced operators.