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

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