What happens when you stop treating AI as an experiment and start using it proactively to boost your bottom line?
In another edition of our AI Show & Tell series, we brought together teams from consumer tech brands like SpeakX, Schmooze, Convozen, and Meesho to share their successes, failures, and lessons from the field.
Inside you’ll find how:
- SpeakX created a dynamic framework to deliver personalized notifications and increase user retention
- Schmooze analyzed support queries to identify user anxiety patterns and built lucrative features around them
- Convozen democratized voice agent creation with its factory approach, scaling to 106 agents across NoBroker
- Meesho rebuilt search using visual understanding, reducing data annotation workload by 80%
They all have one thing in common: these aren't incremental improvements.
Instead, they show the fundamental shifts in how teams think about building with AI, focusing on real user contexts, psychological drivers, and platform thinking.
The full deck breaks down the frameworks, technical approaches, and measurable outcomes behind each case study.
