Say Less: Intelligent Voice Agent Repair Engine

THE PROBLEM: THE SENTENCE RESET You call your dentist from a noisy street: "Can I book a haircut on Thursday at 2 PM?" The voice bot mishears one word. It says: "Sorry, I didn't catch that. Could you repeat that?" Now you have to re-say all 11 words. The same street noise garbles the same word again. Standard voice agents discard the 10 words they heard correctly and reset the entire sentence. In call centers, this repetition loop drives over 40% of caller drop-offs. When a speech model mishears "Tuesday" as "Chewsday" or writes "9 AM" instead of "nine am", it often does so with 99% confidence. Blind confidence scores cannot catch the error, so the bot quietly writes the wrong appointment into the database. THE SOLUTION: SAY LESS Say Less asks about the specific word it missed rather than resetting the whole sentence. When a turn ends, Say Less checks whether the heard value belongs to that field's allowed catalog (7 weekdays, 10 services, 20 surnames). When a word lands out of catalog, Say Less ranks the closest valid matches by sound using Double Metaphone phonetic scoring. Then it asks the smallest question possible: 1. Name one candidate: "Tuesday?" 2. Offer two choices: "Tuesday or Thursday?" 3. Ask the category: "Which day?" 4. Transfer to a human. Every candidate offered to the caller is guaranteed to be a real, bookable value from the business schema. THE BENCHMARK We benchmarked Say Less on 26 real human recordings across mobile phones and the public SLURP corpus: Commit accuracy: 96% baseline jumped to 100% with Say Less. Words re-said per booking: cut from 0.77 down to 0.04 (a 95% reduction). Human escalations: dropped from 4% down to 0%. On acoustic stress tests, Say Less slashed caller repetition from 5.09 re-said words down to 0.07. At standard call center costs ($7 to $12 per cleaned-up booking), that saves $4,700 to $8,000 per 10,000 calls.