I built an AI SDR from the ground up. Instead of building another chatbot, I wanted to build some...I built an AI SDR from the ground up. Instead of building another chatbot, I wanted to build some...
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Instead of building another chatbot, I wanted to build something closer to a real sales system.
The workflow takes a raw list of leads and moves them through:
→ Lead enrichment
→ ICP / qualification
→ Research
→ Personalized first-touch email
→ Human approval
→ Reply classification
→ Human escalation for high-intent replies
The important part: the AI doesn't get to blindly send emails.
I designed it with human-in-the-loop controls so automation handles the repetitive work while humans stay in control of important decisions.
Built with Python, LLM APIs, backend services, structured workflows, and API integrations.
This project pushed me to think beyond individual AI features and focus on how AI systems actually fit into a business workflow.
I'm now looking to build similar AI automation systems for businesses that have repetitive processes worth automating.
A typical example. Same accounting app. Same team. 7 manual steps turned into 1 click.
Invoices arrive by email, AI reads the PDF and fills the fields, a draft entry is created through the app's existing API, and a person approves it in one click. Anything unusual gets flagged instead of guessed.
This is what I mean by adding AI to the systems you already run. If your team still copies data between tools, send me the workflow and I'll show you what can be automated.
An AI marketing automation experience designed around the needs of marketing teams, growth marketers, and digital businesses.
The interface brings campaign management, customer journeys, analytics, and AI-driven optimization into a focused SaaS product experience, making complex automation easier to understand and navigate.