Replace Yourself With Systems: How AI Helps You Work Less

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