Aviation - Enterprise AI Framework
Introduction
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Taller designed and built a generative AI solutions framework for a major airline-a single, scalable platform to deploy multi-agent AI workflows across every department.
The airline needed a reusable AI foundation that could serve every department-not isolated tools, but a unified framework for multi-agent orchestration, knowledge graph retrieval, and enterprise-scale deployment.
→ The Challenge
Impact
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Industry Leadership
A
1 Framework -> Every Dept
Generative AI deployed across diverse internal projects
B
0 -> Enterprise AI
From no unified AI capability to industry leadership
What Taller Built
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A reusable generative AI foundation that enables multi-agent orchestration, graph-based retrieval, and enterprise-scale deployment across every department.
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Multi-Agent Orchestration
Multi-agent workflows coordinated through LangGraph orchestration, enabling complex enterprise tasks to be decomposed and executed across specialized agents working in concert.
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Graph-Based RAG Systems
Retrieval-augmented generation built on knowledge graphs for domain-specific precision—cross-functional intelligence reuse with re-ranking methods to ensure relevance across diverse query types.
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Enterprise-Wide Deployment
A single, scalable platform to deploy generative AI across every department—from operations to customer service—positioning the airline at the forefront of AI innovation in transportation.
Goals
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Provide a reusable generative AI foundation across all departments and use cases
Enable multi-agent orchestration for complex enterprise tasks
Deliver precise, context-aware retrieval through graph-based RAG systems
Establish the airline as a leader in applied generative AI
Technology Stack
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