Two small business owners reached out to me this week in complete overwhelm. Both were asking the same thing: “What AI do I invest in?”

One was looking at a $2500 investment in all-inclusive AI third-party software. The other was looking to develop an online community.  She asked what AI tool she should invest in beyond ChatGPT. As we worked through her community-building challenges, it became clear that ChatGPT could likely handle everything she needed.  She needed content creation, engagement strategies, educational materials. The real gap wasn’t her tool; it was her understanding of how to effectively use AI. She was ready to spend money on a new solution when she hadn’t yet tapped into the potential of what she already owned.

The current pace of AI innovation IS overwhelming. We’re seeing a flood of incredible new models and a wave of third-party tools that promise everything.  Honestly, it feels like the Wild West out here.

If you’re feeling this way too, you’re not alone. And you’re definitely not behind.

I’m writing this because in times of uncertainty, we need some guardrails to help us make the best choices.

So, here are the 5 questions to help business owners make good choices:

1. What specific problem are you solving? A general-purpose tool is great for ideation, but for deep data analysis, summarizing legal documents, or finding patterns in specific data, you need a specialized tool. Define your goal first.
2. What’s your priority: speed or accuracy? Some models are optimized for lightning-fast, conversational answers. Others, often using Retrieval-Augmented Generation (RAG) architecture, prioritize depth and verifiable research by strictly grounding every answer in your source documents.
3. What kind of data are you working with? Text-only documents? Or do you need to analyze videos, images, or audio transcripts? For multi-modal data, you need a model that can process and synthesize information from different formats.
4. Where does the AI get its information? Does the model rely on its vast, internet-trained knowledge, or does it operate in a “closed environment” using only your data? This is critical for data privacy and minimizing hallucinations.
5. What’s under the hood? (Crucial for third-party tools) Many apps use a large language model (LLM) behind the scenes. Before you invest in any third-party tool, ask: Which AI model is it using? (GPT-4, Claude, Gemini, Llama, a proprietary model, etc.) If it’s a custom or fine-tuned model, what’s it based on? What are the data privacy policies of both the app AND the underlying model? Is my data used for training future models?

The biggest danger isn’t missing out—it’s making expensive mistakes because you rushed in without the right framework.

Don’t let fear of missing out or excitement to get started bypass the strategic thinking your investment deserves.

Through our AI education programs, we help business owners understand not just which tools to choose, but how AI actually works—including where it can help and where it might work against you. Because the best investment decisions come from understanding, not guessing.

If you’re ready to move from overwhelmed to strategic in your AI choices, reach out for a free consultation.

Keep Learning,
-Michelle