Integrated AI Assistant
Context & Pain points
Staff had to enter venue details manually, including seating layouts, ticket types, sales conditions and related information. Completing this work typically took several days.
Client Objective
Build an integrated AI assistant to help users find information, reduce manual work and improve efficiency.
Solution
• We developed an AI assistant that learns from the client's past event data and fills in most of the required information automatically.
• Through a conversation with the assistant, users can have approximately 95% of the required information completed for them.
Challenge
The team needed to clarify business requirements, maintain consistent data, and limit the impact on related features throughout development.
How We Solved It
• We worked closely with the client to clarify requirements and agree on the implementation approach.
• We broke the work into smaller, manageable tasks.
• Reviews and testing at each stage helped us identify issues early.
Scope
- Requirements analysis
- Design
- Development
- Unit testing
- Integration testing
- Bug fixes
- Deployment support
System Features
- Question handling
- AI intent analysis
- Relevant information retrieval
- Response generation
- Conversation history management
Outcome
Manual data-entry effort and time were reduced by 80%.
Testimonials
Hear from the clients who have worked with Fenix throughout their projects.
Our Work
Explore the projects Fenix has delivered together with clients across various industries.
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AI Event Registration Chatbot
Create an event through a conversation? An AI chatbot turns staff input into structured event records, reducing manual entry and the checks that come with it.
Call Center System
A customer calls to book tickets. AI listens and responds. See how Fenix connects spoken requests with system data to support telephone bookings.
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