A RAG-powered support bot trained on thousands of BookieLink Q&A records. It handles repetitive customer questions automatically, reduces support tickets, and frees the team for higher-value cases.
Best for
Operations teams removing high-volume manual work
Business impact
A clearer, faster operating workflow
01 · The problem
Client challenge
BookieLink's support volume exceeded what their small team could manage. Repetitive questions were consuming hours daily, delaying responses to complex cases that genuinely required human attention.
02 · The solution
What Orkestra built
Built a RAG-powered support chatbot trained on 5,000+ Q&A pairs covering BookieLink's full product surface — deployed as a front-line agent capable of handling the majority of incoming queries autonomously.
Key capabilities
5,000+ Q&A dataset for RAG training
Vector-based semantic similarity search
Automatic escalation for unrecognized queries
Webhook-based deployment and session management
OpenAI-powered natural language response layer
03 · The results
Business impact
The bot achieves 85% query accuracy and reduced support tickets by 70% in the first month. The team now handles only complex escalations — recovering hours of daily capacity that were previously consumed by repetitive queries.
04 · Stack used
The stack supports the workflow, reliability, and future maintenance requirements of the system.
05 · Inside the build
Explore the product, workflow, and operational details behind BookieLink Customer Support Bot.
04 interface views · Select to enlarge
Start a conversation
One focused conversation about the operation, the friction, and what a useful first release should change.
Direct founder access
No generic sales deck
A clear next step
