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We’re testing an AI sales closer and it’s already handling objections better than we thought
r/aiagents
7/15/2025
Content Summary
A team is testing a voice-based AI sales agent that handles live sales calls and objections effectively. The AI demonstrates capabilities in value-focused pricing discussions, addressing past implementation concerns, offering risk mitigation options, and managing conversational pacing. Users report longer-than-expected engagement durations. Multiple commenters reveal parallel developments in AI sales automation tools, with discussions around technical implementations and potential partnerships.
Opinion Analysis
Mainstream opinion sees strong potential in AI sales agents, particularly in objection handling and conversation flow management. Developers emphasize:
- Importance of natural conversational pacing
- Value-focused objection resolution
- Full sales pipeline automation
Controversial aspects include:
- Skepticism about prospect acceptance (LuminaUI's hangup concern)
- Debate about AGI proximity vs specialized AI capabilities
Divergent approaches emerge between:
- Full-stack solutions vs specialized tools
- Internal use vs SaaS productization
SAAS TOOLS
| SaaS | URL | Category | Features/Notes |
|---|---|---|---|
| VoiceHub by DataQueue | Not provided | Voice AI Platform | Multi-provider support (e.g. ElevenLabs), Natural voice interactions, Rapid prototyping of objection-handling flows |
| Supervity | Not provided | AI Agent Command Center | Centralized management for sales agents |
| NeoticAI | https://neoticai.com | AI Automation Platform | Automation engineers for client operations, Sales/marketing focus |
USER NEEDS
Pain Points:
- Handling sales objections in real-time
- Maintaining prospect engagement during calls
- Scaling sales operations efficiently
- Creating natural conversational flows
Problems to Solve:
- Overcoming pricing concerns
- Addressing "we've tried this before" objections
- Managing implementation risks
- Handling prospect hesitation/silence
Potential Solutions:
- Value-focused objection handling
- Case study references
- Phased rollout options
- Conversational pacing adjustments
GROWTH FACTORS
Effective Strategies:
- Developing full AI sales pipelines
- Creating specialized AI agent command centers
- Partnering with complementary AI services
Marketing & Acquisition:
- Organic community engagement in niche forums
- Direct outreach via DMs
- Strategic partnerships between AI tools
Monetization & Product:
- Transitioning from internal tool to SaaS product
- Multi-provider voice integration
- Risk-free implementation options
User Engagement:
- Real-time conversation analytics
- Conversational pacing adjustments
- Community knowledge sharing