AI in Business, AI Agencies, & Writing Books with Ai #AIintheSky

By Dan Sanchez · Episode published

AI becomes useful when leaders connect it to documented work, original expertise, and a clear brand strategy instead of treating it as a stand-alone tool or content shortcut.

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AI Is a Business Change Before It Is a Tool Choice

The first AI question inside a company is often, “Which tool should we buy?” A better question comes first: what work are we trying to improve, and who will own the change?

AI can touch marketing, customer service, finance, operations, and technology. That makes it hard to assign to one department. Leadership needs to set the direction and create room for teams to experiment, while each function identifies its own valuable use cases. Marketing can be an early model because it already works close to customer behavior, content, and communication, but it cannot carry a company-wide transformation alone.

Turn Existing Work Into a Clear System

Many early AI opportunities resemble marketing operations. A team has a process that takes too long: preparing research, repurposing content, qualifying questions, or assembling a strategic brief. The useful work is to identify the inputs, decisions, steps, and final outcome, then test where AI can contribute.

That process work is the bridge between a vague AI ambition and an actual result. A custom assistant does not become valuable because it has a clever name. It becomes valuable when it is built around a documented workflow that people already understand.

Start with one repeatable process. Analyze how it works today. Remove unnecessary steps. Improve the rest. Document the better version, then automate the portions that can be reliably handled. This keeps the team focused on outcomes instead of treating AI as a pile of features.

Content Needs Experience, Opinion, and Story

AI can rapidly generate a draft, an outline, or even a long manuscript. That abundance does not create thought leadership. As low-cost content expands, the work that stands out will still come from lived experience, a real point of view, and persuasive storytelling.

For a company book or executive-led content initiative, use AI to organize the raw material rather than replace it. Interview the founder, capture customer stories, record a podcast series, gather internal research, and extract the principles that make the organization distinct. AI can help turn those inputs into a rough structure and reusable drafts. A skilled human should still refine the argument, fill evidence gaps, and make sure the final work says something worth publishing.

Use Video to Build Trust, Not Just Volume

Generative video creates inexpensive new creative options, but a polished clip is not automatically a trusted one. When people research an important purchase, they often look for someone who has actually used the product and can explain the tradeoffs. A real subject-matter expert on camera can carry more credibility than generic visuals or an undisclosed artificial avatar.

Brands can also build recognizable characters and mascots. The useful question is not whether a synthetic personality is possible. It is whether the audience can understand what it represents and trust the relationship. A clearly nonhuman character can be playful and consistent without pretending to be a real person.

AI will keep changing the production side of marketing. The durable advantage comes from knowing your processes, creating original inputs, and deciding which human voice or brand personality people should recognize. Start there, then choose the tools that help the work move forward.