OneAI - Pipeline success - weekly meeting.

Date: 2026-01-26 | Duration: 38.83000183105469 min | Account: pipeline-success

External attendees: bruna.santos@homecare.com, chris.b@pipelinesuccess.com, david@pipelinesuccess.com, ecorrons@homecare.com, jason.o@pipelinesuccess.com, ncuesta@homecare.com

Summary

The team discussed multiple enhancements to inbound call handling, including capturing caller first and last names for better personalization and call flow efficiency. A minor issue regarding missing first names was resolved, ensuring reliable caller data for reporting and downstream processes. Future plans include collecting caller email addresses on new inbound calls to enhance profiling. Concerns about call quality, specifically greeting clipping, were raised, with plans to test real calls for better resolution. The team agreed to implement a blocking feature for known unwanted callers, dynamically managed to reduce resource waste. Additionally, strategies for robocall detection and metadata improvements were outlined to support better call analysis and filtering.

Key Points

📞 Caller Name Capture: Ellie now captures caller first and last names for enhanced personalization and smoother call flow. ✅ Issue Resolution: Missing first names were fixed; improvements ensure reliable caller data for future processing and reports. ✉️ Email Collection Agreement: Future enhancement will collect caller emails on new inbound calls when missing for better profiling. 🔊 Call Quality Concerns: Team to test real phone calls to identify issues with greeting clipping and adjust Ellie’s speech timing. 🚫 Blocking Feature Development: Feature to block unwanted callers agreed upon to improve resource effectiveness; will be managed dynamically. 🤖 Robocall Detection Plans: System will implement triggers to automatically hang up on detected robocall phrases to reduce unwanted calls.

Overview

• Caller Name Capture: Ellie now captures caller first and last names for enhanced personalization and smoother call flow.
• Issue Resolution: Missing first names were fixed; improvements ensure reliable caller data for future processing and reports.
• Email Collection Agreement: Future enhancement will collect caller emails on new inbound calls when missing for better profiling.
• Call Quality Concerns: Team to test real phone calls to identify issues with greeting clipping and adjust Ellie’s speech timing.
• Blocking Feature Development: Feature to block unwanted callers agreed upon to improve resource effectiveness; will be managed dynamically.
• Robocall Detection Plans: System will implement triggers to automatically hang up on detected robocall phrases to reduce unwanted calls.

Action Items

Amit Ben Copy latest production environment to test environment to ensure feature consistency (05:59) Fix first name missing mapping issue in inbound calls (29:53) Implement API feature to block phone numbers based on provided phone number list (14:03) Add carrier side filtering and flagging checks for phone numbers and notify team when cycling is needed (25:44) Implement rule for Ellie to hang up on identified robocall phrases to reduce resource wastage (34:43)

Nahuel Cuesta Luengo Test and monitor inbound calls to ensure first and last name fields are populated correctly post-fix (28:04) Finalize backend discussion on email presence signaling for inbound calls and provide updates (37:24)

Jason O’Neill Perform real-world test calls from regular phones to capture raw audio and diagnose first word cut-off issue (10:23) Monitor phone number performance metrics and collaborate with Amit on filtering and data analysis (15:45) Track robocall patterns and report new repetitive junk calls for creating hang-up triggers (34:54)

Daniela Block Take notes on the blocking feature and email collection items for tracking (14:15)