Improve FIN AI Deflection Accuracy
Budget: ₹400 – ₹750 INR
Our Intercom inbox relies on FIN AI, yet too many chats still reach human agents. After digging into the analytics I’m convinced the root cause is the accuracy of the answers FIN serves, not the UI or core algorithm.
I need an expert who can turn better training data into sharper, more dependable responses so customers self-serve more often.
Here’s what I’m looking for you to do:
• Audit recent conversation logs and the existing FIN knowledge base to pinpoint coverage gaps and misleading examples.
• Curate or create high-quality, well-structured training data that directly addresses those gaps—think clarified FAQs, edge-case scenarios, and fresh intents drawn from real chats.
• Prepare the dataset in the format Intercom accepts and guide (or handle) the import.
• Run a before-and-after test to confirm improved answer accuracy and a measurable uplift in deflection rate; share the metrics and any recommended follow-ups.
Success for me is simple: a clear, documented increase in accurate automated answers and a noticeable drop in tickets passed to humans. If you’ve wrestled with Intercom, FIN, or similar NLP systems before, let’s talk—my inbox (and my support team) will thank you.
I need an expert who can turn better training data into sharper, more dependable responses so customers self-serve more often.
Here’s what I’m looking for you to do:
• Audit recent conversation logs and the existing FIN knowledge base to pinpoint coverage gaps and misleading examples.
• Curate or create high-quality, well-structured training data that directly addresses those gaps—think clarified FAQs, edge-case scenarios, and fresh intents drawn from real chats.
• Prepare the dataset in the format Intercom accepts and guide (or handle) the import.
• Run a before-and-after test to confirm improved answer accuracy and a measurable uplift in deflection rate; share the metrics and any recommended follow-ups.
Success for me is simple: a clear, documented increase in accurate automated answers and a noticeable drop in tickets passed to humans. If you’ve wrestled with Intercom, FIN, or similar NLP systems before, let’s talk—my inbox (and my support team) will thank you.