No room for delays: How a global aerospace leader uses AI21 to automate FAA compliance


INDUSTRY
Aerospace and Defense
PRODUCTS USED
- Maestro for enterprise-grade knowledge agents
- Jamba for large-scale regulatory content processing
- Custom Solutions tailored for aviation compliance
With hundreds of aircraft delivered each year, a multinational aerospace manufacturer partners with AI21 Labs to build a custom AI solution that enables querying of extensive FAA documentation—delivering real-time, context-aware answers that support decision-making, reduce manual effort, and improve regulatory compliance.
BUSINESS OBJECTIVES
The Challenge
Ensuring rapid, reliable access to evolving FAA regulations
The aerospace company needed to streamline navigation of FAA civil aviation safety regulations to enhance compliance workflows without relying on time-consuming manual reviews.
Given the high-stakes nature of aviation compliance, delays and errors in updating company documentation to align with evolving regulations were unacceptable.

The Solution
Automating FAA compliance workflows with enterprise-grade AI agents
Conversational access: Custom Conversational RAG lets compliance teams query the FAA Document Repository and get precise, context-aware answers instead of page dumps.
Contextual comparison: Automated scanning flags compliance gaps, runs risk assessments for outdated or missing clauses, and proposes clause-level fixes to stay aligned with evolving rules.
End-to-end partnership: AI21 solutions engineers co-built on Maestro and Jamba, wired into the manufacturer’s workflows.
Under the hood:
- AI21 Maestro — enterprise knowledge agents with built-in retrieval, guardrails, and auditability.
- Jamba Foundation Models — hybrid Transformer-Mamba, 256K context for long docs.
- Custom Solutions — architecture-to-deployment support with SLAs.

The Impact
Real-time, accurate, and scalable access to FAA regulations
The manufacturer deployed a custom API solution that enables compliance teams to query FAA documentation using natural language and receive context-aware answers in real time.
This reduced the need for manual review, minimized risk of human error, and improved overall regulatory alignment. The system scaled to support high document volumes while maintaining accuracy and speed—reducing time spent on compliance tasks, lowering direct labor costs, and decreasing costs associated with risk events—helping the manufacturer meet FAA standards more efficiently.
