SmartFlow AI Pipeline
End-to-end lead qualification system that reduced manual work by 85%.
The Problem
A B2B SaaS company was drowning in leads. Their sales team of 40 reps spent over 3,000 hours per month manually qualifying inbound inquiries — reading emails, scoring prospects, and routing opportunities. Conversion from lead to qualified opportunity was just 8%, and top-performing reps were burning out.
What We Did
We built an AI-powered lead qualification pipeline using NLP to analyze inbound emails, forms, and chat transcripts. A custom scoring model, trained on 18 months of historical conversion data, predicted lead quality with 92% accuracy. High-scoring leads were automatically enriched with firmographic data and routed to the appropriate rep with suggested talking points.
Discovery → Design → Build → Launch
Discovery
Research, audit & scoping the problem space.
Design
Strategy, identity, and rapid prototyping.
Build
Engineering, integration, and quality assurance.
Launch
Deploy, measure, and continue to optimize.
Numbers That Moved
Selected Visuals
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