Sept 3, 2025
Jeppesen (a Boeing Company) Saves ~2,000 Engineering Hours with Unified Chat Framework[ Manufacturing ]
Build document agents for manufacturing
LlamaIndex helps manufacturers build agents over technical specs, manuals, and compliance docs — reducing downtime, streamlining QA, and improving supply chain visibility.
Challenge
Your technical documents are everywhere. And they’re underused.
- Hard-to-navigate CAD files, PDFs, and SOP manuals
- Difficulty finding supplier certifications and inspection reports
- Slow troubleshooting and repairs due to scattered records
- QA and compliance checks stuck in manual review
Data
Clarity
Solution
Turn technical engineering documents into smart agents.
- Retrieve and summarize technical manuals in seconds
- Parse supplier certifications and flag compliance gaps
- Extract data from contracts, invoices, and shipping docs
- Assist technicians with step-by-step repair guidance
Data
Chaos
Clarity
01
Spec Navigator
Finds engineering diagrams, manuals, and SOPs
02
Compliance Agents
Parses ISO/OSHA reports and highlights risks
03
Supply Chain Analyzer
Extracts terms from vendor contracts
04
Maintenance Assistant
Guides technicians with troubleshooting steps
Why Llamaindex
Trusted by global manufacturers as well as pioneering industrial startups
Unmatched accuracy
LlamaCloud is purpose-built for complex documents with charts and tables.
Explainability
Citations, traceability, and confidence scores on every field
Developer-ready
Python and Typescript SDKs, APIs, and fine-tuned control.
Enterprise-scale
Handle thousands of reports with parallel pipelines
Compliant & auditable
For use in high-governance environments
Complete solution
Bring together document intelligence and agent workflows for end-to-end automation
How it works
From document chaos to agent intelligence
01
Upload documents (invoices, forms, contracts)
02
Parse and extract key information
03
Agents take action — route, validate, log, notify
04
Review or monitor via dashboards, API, or integrations
Resources
Testimonials
Cemex, a global construction materials company, has successfully applied AI across its operations since 2018. LlamaCloud has significantly boosted our development process; from taking weeks to develop to delivering value in a few hours.
LlamaCloud’s ability to efficiently parse and index our complex enterprise data has significantly bolstered RAG performance. Prior to LlamaCloud, multiple engineers needed to work on maintenance of data pipelines, but now our engineers can focus on the development and adoption of LLM applications.