Feature Idea: AI Call Quality & Performance Analysis Currently, users can review call recordings manually. However, it would be incredibly powerful if Nedzo could implement an AI layer that automatically analyzes call recordings and provides structured feedback and insights. This concept is already being used successfully in sales team management platforms, where AI listens to calls and provides coaching insights and performance evaluations. Applying a similar capability to AI receptionist calls could create major benefits, including: • Automatically summarizing every call • Flagging potential issues, mistakes, or missed opportunities • Identifying when the AI agent deviates from training or intended scripts • Detecting negative sentiment or customer dissatisfaction • Highlighting calls that require human review or follow-up • Providing optimization suggestions to improve agent performance • Delivering quality control dashboards or alerts when trends emerge From an agency and client success perspective, this would be extremely valuable. It would allow users to proactively identify and resolve issues before clients or customers notice them. Instead of relying on manual call reviews or waiting for complaints, users could maintain continuous automated quality control across all AI receptionist interactions. This type of feature could also strengthen client retention, improve AI training feedback loops, and position Nedzo as a leader in AI-driven performance optimization. I believe this enhancement would be particularly impactful for users managing multiple accounts or deploying AI receptionists at scale. Thank you for considering this idea. I would be happy to share additional thoughts or use-case examples if helpful. I truly appreciate the work your team is doing and look forward to seeing how the platform continues to evolve. Suggested by E. S.