Core Modernization and AI Substrate Across a Transformation Portfolio

The major US airline is the world's third-largest airline, operating one of aviation's most asset-intensive, safety-sensitive, real-time networks. The a large application estate is anchored by a large microservice substrate, with thousands of apps involved in dispatching a single aircraft and hundreds of unique services triggered by one boarding pass. Loyalty (their loyalty program with tens of millions of active members), traveler commerce (their advertising platform, hundreds of millions of unique travelers, millions of daily website visitors), and a multi-year applied-AI program sit on top of the core airfare business. Taller's engagement at this airline has been continuous since March 2023, sourced through a staffing partner. The dominant footprint spans four AI / data workstreams that Volume II captures (employee productivity AI on LLM + RAG, the aircraft manual comparison RAG system for compliance, the loyalty program customer-care self-service analytics, and the enterprise generative-AI framework supporting multi-agent and graph-based RAG deployment) plus two .NET / Angular modernization workstreams that Volume II does not yet capture (Crew Scheduling and the Customer Care Services business-rules-engine rewrite, both presented as bonus cases below). Multi-year SOW extensions have been confirmed across cohorts; the engagement is now layering on additional pods including a new operations workstream and the back-office engineering team. Taller engineers placed at this airline have earned strong client-side recognition, with client stakeholders reporting strong satisfaction with team performance and Taller engineers consistently rated Meets or Exceeds Expectations in the performance reviews flowing back through the staffing partner.

The airline's commercial optionality going forward depends on a portfolio of modernization investments that work as one substrate. Legacy systems (the PSS estate with its flat files, green screens, and thirty-plus seat-assignment applications) require disciplined modernization onto event-driven cloud architecture. Cryptic operational records (the PNR / seat-history language that took agents months of training to read) require an AI translation layer that lowers the operational overhead. The broader commercial-AI ambition (their advertising platform, loyalty program personalization, connection-optimization decisioning) depends on an enterprise framework that converts isolated pilots into firm-wide capability. Each individual modernization investment matters; together they constitute the substrate the next decade of the airline's strategic optionality rests on.

Taller's contribution to this surface spans the AI dimension and the modernization dimension. On the AI dimension, Taller operates four pods captured in Volume II: the employee productivity AI pod (LLM + RAG for content generation and intelligent retrieval at the workflow layer), the aircraft manual comparison pod (RAG with full traceability of version changes across hundreds of PDF and XML manuals for compliance), the loyalty program customer-care analytics pod (Tibco Spotfire-based centralized self-service insight), and the enterprise generative-AI framework pod (reusable agent development, multi-agent workflow orchestration, graph-based RAG). On the modernization dimension, Taller operates the Crew Scheduling modernization workstream (the post-incident .NET Core + Angular + Cordova rebuild that the next bonus case develops in depth) and the Customer Care Services business-rules-engine rewrite (the IBM ODM-anchored .NET Core rebuild that the second bonus case develops). Taller does not operate the PSS / seating modernization itself, a third-party operational intelligence platform, a third-party telematics stack, or a data collaboration partner clean rooms behind their advertising platform; those sit inside other vendor partnerships. Taller does, however, operate the engineering substrate beneath the broader UC5 frame.

Continuous engagement since March 2023 with multi-year SOW extensions confirmed across cohorts in 2024 and 2026. The AI workstreams have delivered measurable outcomes captured in Volume II's four the airline cases: hours-to-seconds compression of content generation and retrieval, weeks-to-minutes compression of aircraft manual version comparison, thirty percent reduction in agent dependency on the customer-care side, and enterprise-wide AI framework deployment across multiple internal pilots within twelve to eighteen months. The modernization workstreams have continued to absorb additional scope across 2024, 2025, and 2026 with strong client recognition routed back through the staffing partner ("UA is very happy with our team performance").

The dossier's strategic frame on UC5 is the foundation that converts individual investments (modernization, GenAI, OCR, advertising) into commercial optionality compounding across the airline's next decade. Taller's contribution covers the engineering substrate that the AI side rests on (the four Volume II cases) and the modernization side that depends on legacy-to-modern .NET / Angular rebuilds (the two bonus cases below). The boundary is clear: Taller does not own the PSS migration, the digital twin, the OCR pipeline, or their advertising platform data collaboration - but Taller operates the workstream pods that the broader UC5 picture depends on for execution capacity.