What is People AI?
People AI is an AI revenue intelligence platform designed for enterprise sales teams. It analyses sales conversations, emails, and customer interactions to provide insights that help sales organisations improve deal outcomes and forecast accuracy. The tool works by processing call recordings, meeting transcripts, and email exchanges to identify patterns in successful sales behaviour, track deal progress, and flag risks. It's built for sales leaders and revenue teams who want to move beyond basic CRM data and understand what's actually happening in customer conversations. The platform integrates with existing sales tools and provides actionable intelligence rather than just data collection.
Key Features
Call and meeting transcription
automatically captures and transcribes sales calls and meetings for analysis
Deal insights
tracks deal progress and identifies risks or opportunities based on conversation content
Sales behaviour analysis
identifies patterns in successful sales conversations to coach underperforming reps
CRM integration
connects with your existing sales stack to pull context and log findings automatically
Conversation analytics
searches across your entire conversation history to find relevant examples and coaching moments
Pros & Cons
Advantages
- Offers free access, making it possible to trial the core functionality without upfront cost
- Works with existing sales tools rather than requiring a complete platform change
- Focuses on actual conversation data instead of relying solely on manual CRM entries
- Provides specific, actionable coaching insights based on real sales interactions
Limitations
- Requires integration with your existing systems, which may take time to set up properly
- Quality of insights depends on having a sufficient volume of recorded conversations to analyse
- May raise questions around consent and recording policies depending on your jurisdiction and company practices
Use Cases
Sales managers coaching individual reps by identifying specific conversation patterns to improve
Revenue leaders forecasting deal outcomes based on conversation quality and progress signals
Sales teams onboarding new representatives by showing them examples of successful calls
Identifying common objections and how top performers handle them across your customer base