350+ Calls/Day, 3.2x More Meetings Booked, -62% Cost Per Meeting
US Commercial Real Estate Advisory Firm (150+ Active Listings)
“We went from 12 reps making 500 calls a day combined to an AI system making 4,000+ calls a day with better qualification and zero burnout. The live Calendly booking during calls was the game-changer — we stopped losing prospects in the callback loop. Foreignerds didn't just build us a tool, they understood our sales process and designed the system around how deals actually close in commercial real estate.”
— VP of Business Development, US Commercial Real Estate Advisory Firm
The Background
A US-based commercial real estate advisory firm managing 150+ active property listings across multiple states. The firm operates a high-volume outbound sales model, with a team of 12 business development representatives responsible for prospecting property owners, investors, and facility managers to generate qualified deal flow.
| Team Size | 12 Business Development Representatives + 3 Sales Managers |
|---|---|
| Volume | 2,500+ outbound calls per week (pre-automation) |
| Engagement | Fixed-cost build + monthly optimization retainer |
| Platform Access | Internal B2B tool — live demo available on request |
The Challenge
The client’s sales team was spending 70% of their working hours on manual outbound calling — dialing prospects, leaving voicemails, qualifying leads through repetitive introductory conversations, and manually logging outcomes into spreadsheets.
- Each BDR could make only 40–50 manual calls/day, with a 12–15% live connection rate — 85%+ of effort produced no conversation.
- Qualified meetings were lost because reps couldn’t schedule during live calls — callbacks often went unanswered.
- Call quality was inconsistent: no standardized scripts, no sentiment tracking, no way to compare rep performance objectively.
- Voicemail follow-ups were ad hoc — reps chose when and whether to follow up, leading to missed re-engagement windows.
- Campaign data lived in disconnected spreadsheets, making real-time optimization impossible for managers.
The VP of Sales estimated the team was leaving $200K–$400K in annual deal value on the table due to missed connections, inconsistent follow-up, and inability to scale outreach without scaling headcount.
Our Approach & Technical Decisions
Foreignerds designed and built a production-ready AI Voice Outreach Platform that automates the entire outbound calling workflow — from lead upload to meeting booked.
- Retell AI for voice conversations — chosen over Vapi and ElevenLabs for superior call-quality consistency and native support for long-form B2B qualification conversations (not short IVR interactions).
- Python backend for orchestration — handles campaign logic, API integrations, lead queue management, and scheduled data sync. Selected for its mature AI/ML ecosystem and rapid iteration speed.
- Calendly API for live scheduling — integrated directly into the voice conversation flow so qualified prospects book meetings during the AI call itself, eliminating the callback gap killing conversion.
- Google Sheets API for reporting — chosen over a custom dashboard for Phase 1 to minimize build time and let the sales team work in a tool they already used daily. Custom dashboard planned for Phase 2.
- AI-powered voicemail detection — automatically detects voicemail pickups, leaves a pre-recorded message, and routes the lead into a structured follow-up workflow with configurable retry intervals.
- Sentiment analysis on every call — transcripts are scored for buying intent, objections, and engagement, giving managers an objective pipeline quality view beyond just “meeting booked or not.”
Challenge encountered: During Week 3, Retell AI’s default turn-taking caused the agent to interrupt prospects mid-sentence on calls longer than 90 seconds. We implemented custom silence-detection thresholds and a 1.2-second response buffer — resulting in a 40% reduction in prospect hang-ups during qualification calls.
Implementation Timeline
Technology Stack
Measurable Results
- Outbound capacity increased from ~45 calls/day per rep to 350+ AI-managed calls/day — 7.8x throughput without adding headcount.
- Qualified meeting bookings increased 3.2x within 60 days via live Calendly scheduling during AI conversations.
- Cost per qualified meeting decreased 62%, from ~$85 to $32.
- Voicemail follow-up went from ~30% manual coverage to 100% automated with structured retry sequences.
- Sales managers saved 6+ hours/week on manual reporting through automated campaign dashboards.
- Sentiment-scored transcripts revealed that prospects mentioning "timeline" in the first 30 seconds converted at 4x average.
Post-Launch & Ongoing Engagement
Following the 8-week build, the client signed a $3,500/month optimization retainer covering:
- Voice agent script optimization based on weekly sentiment analysis trends
- Campaign performance tuning (call timing, retry intervals, ICP targeting adjustments)
- Retell AI model updates and voice quality monitoring
- Monthly performance reporting with actionable recommendations
The platform has been in continuous production for 6+ months. The client expanded scope to a second campaign targeting investor leads, using the same infrastructure with customized voice scripts and qualification criteria. Total contract value across build + retainer has exceeded $45K in the first year.