The Manual Qualification Problem

Most sales teams waste 60% of their time sorting through prospect replies to figure out:

• Who's actually interested vs just being polite
• Which responses indicate buying intent
• Who needs more information vs who's ready to book
• When someone is the wrong person to be talking to

This manual sorting process kills momentum and lets hot leads go cold.

AI Auto-Tagging: Instant Intent Recognition

The system automatically categorizes every prospect response based on the actual intent behind their message, not just keywords.

AI Automatically Tags Responses As:

• Interested - Shows genuine buying signals
• Meeting Request - Directly asks to schedule or shows calendar availability
• Not Interested - Clear rejection or "not right now" responses
• Wrong Person - Indicates they're not the decision maker
• Information Request - Asks for more details, case studies, or pricing
• Do Not Contact - Requests to be removed from outreach

How Intent-Based Tagging Works

Traditional Keyword Matching: Response: "This looks interesting, but I'm not the right person" Manual Tag: "Interested" (because it said "interesting") Reality: Wrong person, waste of time

AI Intent Recognition: Response: "This looks interesting, but I'm not the right person" AI Tag: "Wrong Person" Action: Automatically asks for referral to decision maker