Mack Grissom

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Mack Grissom
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Leveraging AI for Business Growth in 2025

·1 min read
AIBusiness

Every week I get on calls with business owners who say some version of "we know we should be doing something with AI, but we don't know where to start." Here's the framework I walk them through.

Start with the Problem, Not the Technology

The biggest mistake I see is companies chasing AI because it sounds impressive. Forget the hype. Look at your actual business and ask:

  • Where is your team burning hours on repetitive work?
  • What decisions could be better if you had faster access to data?
  • Where are customers dropping off or getting frustrated?

Those answers tell you exactly where AI can make the most impact.

Three Implementations That Actually Work

Customer Service Automation

Modern AI chatbots are nothing like the awful ones from five years ago. A well-built system can handle complex queries, learn from conversations, and know when to escalate to a real person. I've seen this cut support ticket volume by 40-60% for clients.

Content Generation

Marketing teams are using AI to draft blog posts, social media content, email campaigns, and internal docs. The key is treating AI as a first-draft generator, not a finished-product machine. A human still reviews and refines everything.

Data Analysis

Most businesses are sitting on data they've never properly analyzed. AI can surface patterns and insights from your existing data in minutes that would take a team weeks to find manually.

When You'll See Results

Done right, most AI implementations show clear ROI within 3-6 months. The trick is starting with one high-impact use case and nailing it before expanding. Trying to "AI everything" at once is a recipe for wasted money and frustrated teams.