AI phone agent
API-triggered outbound calls with live two-way speech, objection handling and natural scheduling.
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Case study · AI Sales Automation / Conversational AI
Turning cold outreach into real conversations with AI voice agents.
A real-time speech-to-speech agent that calls leads, holds natural conversations, books meetings and triggers follow-ups automatically.
- Client
- SettleOn AI
- Industry
- AI Sales Automation / Conversational AI
- Delivery
- AI voice agent, backend automation and landing experience
- Capability
- Voice AI
The challenge
What SettleOn AI was up against.
Service businesses depend on outbound calls and follow-ups, but manual dialling, rigid IVR and disconnected email tools made outreach high-effort and low-conversion.
- Manual calling and scheduling
- Rigid IVR that breaks conversation
- No understanding of caller intent
- Disconnected follow-ups
The solution
What we built.
Skugal engineered a voice agent platform that initiates calls, talks naturally, negotiates times and hands off to automated follow-up workflows.
Real-time conversation engine
Continuous listening and intent detection with prompt-engineered conversation logic.
Recording & call intelligence
Every call stored as the basis for summaries, sentiment and next-action agents.
Automated follow-ups
Prompt-driven emails based on call outcomes, unsubscribe handling and test-vs-production safeguards.
How it works
From input to outcome.
- API trigger
- Twilio call initiation
- Real-time AI voice agent
- Live conversation
- Recording
- Email follow-ups & scheduling
Business impact
What changed.
SettleOn AI operates as a living sales agent that calls leads, books meetings and improves through better prompts and workflows.
Technology
- Twilio
- OpenAI Realtime API
- AWS EC2
- Prompt-driven email workflows
- Feature flags
- Natural AI conversations replaced scripted IVR
- Conversational, not form-based, scheduling
- Consistent automated follow-ups
- An agent-extensible platform, not a one-off bot
It doesn’t automate calls. It automates conversations, and what happens after them.
Next step
Have a similar challenge?
Tell us about the workflow or product. We’ll come back with an architecture, a delivery plan and where AI agents fit.