Building a compliant bot took 512 hours. A unified framework cuts that to 64, launching agents with just 50 lines of code.
A subsidiary of a global aerospace leader found its internal teams were independently piloting AI initiatives without central coordination.
This fragmentation caused redundant work and compliance bottlenecks, with the manual creation of a single chatbot taking approximately 512 hours....
“Everyone was building their own bots. Some teams were ahead, some just starting. We wanted to create a shared foundation that made it easier to build and learn together.”
Navigation, flight planning, and crew management software for the aviation industry.
Data framework and agentic OCR platform for building LLM-powered applications.
Jeppesen's AI development platform is part of this use case:
Related implementations across industries and use cases
Fragile data pipelines bottlenecked engineers. Now, built-in workflows let teams ship internal AI tools without managing infrastructure.
Rigid prompts limited AI to isolated tasks. Now, a central reasoning model coordinates agents to plan and execute complex workflows.
Lunar hardware took years of sequential design cycles. Now, AI agents run physics simulations to deliver parts in days.
Fragile data pipelines bottlenecked engineers. Now, built-in workflows let teams ship internal AI tools without managing infrastructure.
No-code tools worked for chatbots, not agents. Coding each from scratch took weeks. Microsoft Foundry cut that to a day.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Building a compliant bot took 512 hours. A unified framework cuts that to 64, launching agents with just 50 lines of code.
A subsidiary of a global aerospace leader found its internal teams were independently piloting AI initiatives without central coordination.
This fragmentation caused redundant work and compliance bottlenecks, with the manual creation of a single chatbot taking approximately 512 hours....
“Everyone was building their own bots. Some teams were ahead, some just starting. We wanted to create a shared foundation that made it easier to build and learn together.”
Navigation, flight planning, and crew management software for the aviation industry.
Data framework and agentic OCR platform for building LLM-powered applications.
Jeppesen's AI development platform is part of this use case:
Related implementations across industries and use cases
Fragile data pipelines bottlenecked engineers. Now, built-in workflows let teams ship internal AI tools without managing infrastructure.
Rigid prompts limited AI to isolated tasks. Now, a central reasoning model coordinates agents to plan and execute complex workflows.
Lunar hardware took years of sequential design cycles. Now, AI agents run physics simulations to deliver parts in days.
Fragile data pipelines bottlenecked engineers. Now, built-in workflows let teams ship internal AI tools without managing infrastructure.
No-code tools worked for chatbots, not agents. Coding each from scratch took weeks. Microsoft Foundry cut that to a day.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.