Industry: TravelTech • Platform: AI Copilot powered by AIBase • Tech Stack: .NET 8, Azure, Semantic Kernel, Azure OpenAI • Timeline: 4 months
Booking business or personal trips usually means juggling dozens of tabs, schedules, and price comparisons.
The client wanted a smart AI assistant that could:
A single interface where travel planning happens through simple conversation.
We developed the Ticket Booking Copilot — an intelligent assistant that automates ticket search, schedule optimization, and booking.
It understands natural language queries like:
“Find me a round trip from Paris to Bordeaux on Wednesday — back by 7 p.m., budget under €200.”
Using Managed Code’s AIBase platform, the Copilot activates multiple specialized agents:
Once a trip is confirmed, the Copilot books tickets and monitors real-time changes, adjusting the plan if delays occur.
A user needs to attend a meeting and return the same day.
The Copilot compares train and flight schedules, accounts for transfer time, and books the optimal itinerary — in less than a minute.
For mixed-mode travel, the Copilot combines train and air routes, balancing speed, cost, and convenience. It syncs arrival and departure times across different services automatically.
The user provides a destination, dates, and budget.
The Copilot searches multiple booking platforms, finds optimal travel dates and ticket combinations, and calculates the total trip cost — fully automated.
The Ticket Booking Copilot became a working proof of how our AIBase architecture can orchestrate complex, multi-step logic — from understanding intent to executing real actions.
It showed that conversational AI can manage not just information, but processes: coordination, scheduling, and decision-making.
The same system design can be applied across industries — from healthcare and finance to operations and customer support — anywhere repetitive logic slows teams down.
For our clients, it means faster delivery, fewer integrations to manage, and a foundation for their own copilots.
Want to see what AIBase can do in your industry?
Let’s talk.
It took the Managed Code team five months to build the application, as initially planned. The app that Managed Code developed runs smoothly, is highly rated by users, and helps the client generate a steady profit. The team was highly communicative, and internal stakeholders were particularly impressed with Managed Code's expertise.
Their professionalism and commitment to delivering high-quality solutions made the collaboration highly successful.
Thanks to Managed Code's efforts, the AI assistant significantly improved the client's ability to serve new and existing clients, resulting in increased customer satisfaction and higher sales. The team was responsive, adaptable, and committed to excellence, ensuring a successful collaboration
We're impressed by their expertise and their client-focused work.
With an excellent workflow and transparent communication on Google Meet, email, and WhatsApp, Managed Code delivered just what the client wanted. They effortlessly focused on the client's needs by being client focused, as well.
