Automating lead capture, qualification, and quote generation — empowering small businesses with intelligent, scalable customer service without adding headcount or complex CRM systems.
My Role
Small businesses struggle with slow, manual lead-to-quote processes. Quotes take too long, follow-ups fall through the cracks, and potential clients drop off. Owners lacked scalable tools to manage inquiries efficiently without adding headcount or adopting complex CRM systems.
Designed a modular AI agent framework that automates lead capture, qualification, and quote generation — combining conversational agents with low-code automation that plugs into the tools small businesses already use.
Customer Discovery
Conducted interviews across verticals including law, travel, and retail to understand how small businesses handle incoming leads and quotes.
Workflow Analysis
Analyzed lead-to-quote workflows to find bottlenecks and scalability issues — manual steps caused slow response times and lost deals, and small teams lacked automation expertise.
Conversational Design
Designed conversational AI experiences in Voiceflow with custom personas matched to each business's tone and industry.
Automation Prototyping
Built working automation prototypes in Make.com connecting Twilio SMS, Gmail, and Airtable CRM with dynamic quote-generation templates.
Validation with Real Businesses
Led validation sessions with SMB owners and startup mentors, iterating on conversation flows and handoff points based on live use.
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Fully Automated Lead-to-Quote Workflows
Inquiries flow from first message to qualified lead and delivered quote without manual intervention.
Operational Prototypes Adopted
Multiple small businesses adopted the working prototypes to handle real customer inquiries.
Faster Response Times
24/7 conversational coverage removed the delay between inquiry and first response, the biggest driver of lost deals.
Scalable Without Headcount
Owners increased inquiry capacity without hiring or migrating to enterprise CRM platforms.