How to Use AI in Your Business in 2026
In a Nutshell
Businesses don't need to become "AI companies"—treat AI like the internet as a tool to make operations better, cheaper, faster, and less risky, overlaying it on proven processes rather than half-built solutions. Start automating today by replicating YouTube tutorials with AI prompts, dedicating time to soup-to-nuts workflows (e.g., AI SDRs trained like humans, content generation with proof, self-testing ads), and replacing gut intuition with pattern recognition from real data. Grab the free 10-stage roadmap to $100M+ at acquisition.com/roadmap, applicable to any business type, with examples like our $250M revenue firm and cases saving millions (PayPal fraud, JP Morgan contracts).
These notes were generated by AI and may contain inaccuracies.
Last year, my company did over $250 million in aggregate revenue. I've been in business for over a decade and a half. We use AI to make our business better, cheaper, faster, and less risky for our customers. I'll walk through real examples from every department.
Making Business Better
Business turns raw attention into profit, like a manufacturing belt. Misconception: businesses must become an AI business—not true. Analogy: almost every business uses the internet without being an internet business; AI is just another tool.
Mistakes businesses make:
- Assuming they must become tech companies. Being tech-forward is like having a webpage—early adopters got disproportionate returns, but it's standard now.
- Assuming a tech nerd will handle it.
Advantage of cloud to dirt knowledge: vertical integration from high-level strategy (people, communication, marketing) to granular details (connecting APIs). Owners understand what's possible across the business; tech experts have limited context and default to commoditized automations.
True improvements come from overlaying business acumen on technical acumen. I dislike technology but see it as a necessary evil.
Watch YouTube videos on automating specific tasks, take the link/transcript, prompt AI: "Help build this," follow directions. When stuck, screenshot and ask AI "What do I do now?" Repeat.
From marketing: we have an AI SDR matching our human team. Mistake: installing half-built AI, comparing to optimized human processes (optimized over 6-20 years), concluding AI fails. Do apples-to-apples: apply same training/SOP effort to AI.
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