This week on The AI Report, Liam Lawson is joined by Matthew Cohn, the founder of Future Flow, to talk about one of the most practical applications of AI today: voice agents.
Matt doesn’t write code. He’s not a machine learning engineer. But he’s built a thriving business that automates sales, lead qualification, and customer follow-up using tools like Vapi, N8N, and custom GPT agents. In this episode, Matt explains how he went from university marketing projects to running voice agents that act as round-the-clock sales assistants for real businesses.
They dig into the real pain points these agents solve—missed calls, slow follow-ups, and overworked sales reps—and how small to mid-size businesses are starting to catch on.
Also in this episode:
• What makes a great voice agent prompt
• Why prompting is the core skill for non-technical AI builders
• How Matt handles imposter syndrome and subcontracting
• A breakdown of the orchestration layers and tools he uses daily
• What it takes to serve enterprise clients with AI systems
If you’ve been curious about AI agents, automation workflows, or what it takes to build a lean, scalable AI business without writing code, this is a must-listen.
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Chapters:
(00:00) Why Speed-to-Lead Still Wins Deals
(01:13) Matt’s Non-Technical Path to Building With AI
(03:45) Early AI Projects and First Use Cases
(06:05) Automating Business Docs With ChatGPT
(08:14) Leaving the Agency to Go All-In on Future Flow
(11:00) Pitching AI Solutions From a Sales Job
(13:20) Ghostwriting With GPT and Finding a Real Offer
(15:30) How Voice Agents Handle Inbound and Outbound
(17:45) The End-to-End Sales Process With AI
(20:00) End-of-Call Reporting and CRM Automation
(23:00) The Tools Behind It All: Vapi, N8N, GoHighLevel
(25:00) Leveraging Subcontractors to Scale
(28:00) Building With Confidence as a Non-Engineer
(30:30) Thinking Bigger: Serving Enterprise Clients
(33:00) Advice for Non-Technical AI Builders
(36:00) Start With Prompting, Then Automate
(39:00) What’s Next for Matt and Future Flow
