AI systems that capture, follow up and convert for you

Businesses answer the same questions repeatedly, lose leads outside business hours, and spend too much time on repetitive customer interactions.

We built FavourAI, an AI employee that works around the clock, engaging visitors, qualifying leads and booking discovery calls automatically.

• Answers customer questions 24/7
• Educates visitors about services
• Qualifies leads through conversation
• Collects contact information
• Books discovery calls
• Integrates with business systems
• Can be customized for different industries

• 24/7 customer engagement
• Faster lead response times
• Reduced administrative workload
• Higher lead qualification accuracy
• Improved customer experience
• More booked appointments
• Scalable customer support without hiring additional staff

Leads submitted through the website contact form required manual review and follow-up, leading to slow response times and inconsistent prioritization.

We built an automated pipeline that captures, scores, and responds to every lead within moments of submission. No manual steps required.

• Captures every contact form submission instantly
• Stores and organizes leads in Airtable
• AI analyzes and scores each lead automatically
• Updates CRM records in real time
• Sends an internal alert email to the team
• Sends a personalized confirmation email to the lead

• Instant lead response
• Consistent, unbiased lead scoring
• Zero manual data entry
• Faster follow-up, higher conversion
• No lead ever falls through the cracks

Real-estate businesses depend on multiple systems working together: listing data, websites, CRMs, lead sources, communication tools and internal workflows. When that data is incomplete or disconnected, the whole experience slows down.

I built a full-stack IDX-style listing system demonstrating how MLS/RESO data can move from a structured data source into a database, through an API, and into a searchable real-estate website. The project focuses on the operational layer behind the experience: data mapping, validation, storage, API delivery, and handling incomplete listing information reliably.

• Shows how listing data, websites, CRMs and lead sources connect
• Structures information between systems reliably
• Handles incomplete listing data without breaking the experience

• Demonstrates the integration approach used with a licensed RESO Web API
• Shows a practical understanding of how real-estate systems fit together