AI across existing systems
Added agentic AI across the corporate travel company’s systems.
Agentic AI / in-house applications
Bringing agentic AI into applications a business already depends on.
Agentic AI added across the corporate travel company’s systems by the team responsible for building and operating them.
DOMAINAgentic AI / in-house applications
ENGAGEMENTAI deep dive · corporate travel engagement
ENGINEERING FOCUSAgentic AI · In-house applications · Existing systems
Business questionTask + user context
Authorized dataDocuments + applications
ENGINEERING LAYERRetrieve · reason · evaluate
Useful responseEvidence + context
Workflow actionWithin agreed permissions
Low confidence and exceptions go to a person
Conceptual view of the engineering scope, not an as-built client architecture.
The problem
As the corporate travel company’s core technology provider, Back3nd added agentic AI across its systems. This deep dive covers that work within the broader corporate travel engagement; it is not a separate client project.
Why engineering mattered
Introducing agentic AI across an existing application estate is a system-level challenge. The work sits within a business environment that already includes application workflows, GDS and payment integrations, transactional and analytical data, and infrastructure operations.
What we engineered
Application context
Worked within the systems Back3nd had built, managed and supported.
Connected engineering scope
Brought application, integration, data and infrastructure expertise to the AI enablement work.
Delivered scope
Agentic AI capabilities added across the corporate travel company’s existing systems as part of Back3nd’s broader technology-provider role.
LET’S GET TO WORK
Where is technology costing you too much?
Software spend. Repetitive work. Disconnected systems. Let’s find the engineering changes that make a difference.