What Users See
After every Breeze interaction, Audit Cards show: properties changed, lead qualification result, data collected. User sees exactly what the agent did and why.
Adoption Driver
Historical Breeze adoption stalled on trust — users didn’t believe ‘the AI is updating my data correctly.’ Audit Cards surface the decision trail. Users see correct behavior, trust builds, adoption rises.
Training Angle
Train users to review Audit Cards, especially early in rollout. Flag incorrect changes; feedback tunes agent prompts. Users become co-trainers of agents instead of distrusting consumers.
Operational Use
Ops teams review Audit Card patterns weekly. Frequently-corrected changes signal prompt issues. Low-correction changes signal well-tuned agents. Audit trail doubles as calibration signal.