Enterprise Architecture and System Engineering Leveraging AI (EASEL-AI)
Automating the Process of Developing and Evaluating Authorization Applications
Navigating the regulatory landscape for small Unmanned Aircraft System (sUAS) operations can be complex and time-consuming. Mosaic ATM’s EASEL-AI streamlines the process by automating the development and evaluation of authorization requests, including Part 107 waivers for Beyond Visual Line of Sight (BVLOS) operations.
Leveraging the power of large language models (LLMs), EASEL-AI identifies document requirements, assesses their completeness relative to those requirements, and provides a detailed assessment breakdown to help users refine their applications efficiently.
User interface for BVLOS analysis against FAA source requirements
For Drone Operators
For Regulators
The Challenges of Securing a BVLOS Waiver
Obtaining a BVLOS waiver is a rigorous process requiring a detailed and well-supported application. EASEL-AI helps overcome these challenges by ensuring waiver applications are complete, well-structured, and aligned with regulatory expectations before submission.
Detailed breakdown of target BVLOS against FAA source requirements
Common challenges include:
Meeting FAA Requirements
The FAA requires comprehensive safety justifications, risk assessments, and mitigation strategies.
Demonstrating Operational Safety
Applicants must provide strong evidence of safe BVLOS operations through technology, training, and redundancy measures.
Addressing Airspace Integration
Ensuring the proposed operation does not pose a risk to other airspace users.
Reducing Back-and-Forth Revisions
Many applications are denied or delayed due to missing information, requiring multiple rounds of revision.
Key Features of EASEL-AI
The Power of Large Language Models in Regulatory Processes
Proprietary data ingestion and structuring pipeline of EASEL-AI
Large Language Models (LLMs) have seen an explosion in the past two years with increasing power and deployment options. By integrating EASEL-AI, waiver applicants and regulators benefit from a scalable, streamlined, automated evaluation process that reduces inefficiencies and improves accuracy.
- Natural language summarization and the ability to distill key insights from large amounts of text.
- Interrogation of documents to determine “what’s present” or “how are these requirements satisfied.”
- Multi-modal capabilities to process textual, visual, and other data sources.
- Secure natural language search within enterprise documents using local databases and locally deployed models.
- Scalability to a large number of enterprise documents by front loading compute for document parsing, ingestion, and cross-referencing.
- Enhanced searchability through graph databases that classify and link data using relationships and topic-relationship-based organization.
Take the Guesswork Out of BVLOS Waiver Applications
Whether you’re an operator looking to secure approvals faster or a regulator aiming to streamline evaluations, Enterprise Architecture and System Engineering Leveraging AI (EASEL-AI) provides the tools and insights to make the process more efficient.
