Callnovo

Innovation Lab

What We're Building

AI, automation, and customer experience experiment records. Status labels reflect the recorded stages; the latest update in this archive is dated February 3, 2025.

Latest recorded update: Feb 3, 2025

3

Active

2

Shipped

3

Learned

Latest Update

Feb 3, 2025

Voice latency optimization hits target

Reduced p95 latency from 450ms to 280ms by implementing edge caching for model inference. Now testing with 5 production clients.

Update Archive

Update Archive

Active Experiments

Active Experiments

Active Started Nov 1, 2024

Voice Agent v2.1

Second-generation voice AI with improved latency and natural conversation flow. Focuses on reducing response time while maintaining quality.

Progress 75%

Testing Started Dec 1, 2024

Multi-Speaker Diarization

Automatic speaker identification and separation in conference calls. Essential for accurate call summaries and action items.

Progress 85%

Testing Started Oct 15, 2024

Real-Time Sentiment Analysis

Detect customer frustration, confusion, or satisfaction in real-time to guide agent responses and escalation.

Progress 60%

Shipped

Shipped

Experiments that graduated to production

Shipped

Intent-Based Smart Routing

Automatically route inquiries to the best-matched agent based on detected intent, sentiment, and agent expertise.

Shipped · Oct 15, 2024

Shipped

Automated QA Scoring

AI-powered quality assurance that scores 100% of interactions instead of random sampling.

Shipped · Aug 1, 2024

The Graveyard

The Graveyard

Failed experiments and what we learned. We share these openly because failure is part of innovation.

Failed · Apr 15, 2024

Fully Autonomous Chatbot

Edge cases and emotional situations require human judgment. Pivoted to human-AI hybrid approach.

Failed · May 1, 2024

Agent Voice Cloning

Legal and ethical concerns around consent. Customers preferred knowing when they talked to AI vs humans.

Failed · Mar 15, 2024

Predictive Volume Modeling v1

Too many external variables (marketing campaigns, product launches) made predictions unreliable. Now using shorter 7-day windows.

start

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