Is AI Right for Your Business? Questions to Ask Before You Invest

If you've spent any time on the internet in the last two years, you've been told that AI will transform your business. Some of that is true. Some of it is vendor hype. The honest answer — which we give our clients every day — is that AI is genuinely useful for specific things, largely irrelevant for others, and actively harmful if implemented without thinking it through. Here's how to evaluate it for your specific situation before you spend anything.

Start with the right question

The wrong question is "should we be using AI?" That's too broad to be useful. The right question is: "What specific task or problem do we want AI to help with, and what would success look like?" Every business that has gotten real value from AI started with a specific use case — not a general interest in being more innovative.

Where AI tends to add real value

• First drafts of written content

  Emails, proposals, job postings, policy documents, marketing copy. AI doesn't replace the human judgment that makes this content good — but it eliminates the blank-page problem and cuts drafting time significantly.

• Summarizing long documents

  Meeting notes, contracts, reports, research. If your team spends hours reading things that could be summarized in minutes, AI does this well.

• Answering repetitive internal questions

  Many businesses have the same questions asked over and over — onboarding, HR policy, product specs. An AI trained on your documentation can handle these at scale.

• Data analysis and pattern recognition

  Identifying trends in sales data, flagging anomalies, generating reports from raw data — AI tools are significantly faster than manual analysis for structured data.

• Customer-facing FAQs and support

  Handling common customer questions, routing inquiries, providing 24/7 responses to predictable questions — with human escalation for anything complex.

Where AI tends to disappoint

• Tasks requiring deep institutional knowledge or nuanced judgment — AI doesn't know your clients, your history, or your context
• Anything where being wrong has serious consequences — legal, medical, financial, or compliance decisions should not be delegated to AI without expert review
• Building or maintaining customer relationships — AI can support communication, but the relationship itself is still human
• Creative work requiring a genuine point of view — AI produces competent averages, not original thinking

Questions to ask before you invest

• What specific problem am I trying to solve?

  If you can't name a concrete task or pain point, you're not ready to implement AI. "We want to be more innovative" is not a use case.

• How much time does this task currently take?

  AI makes the most sense when it's replacing a genuinely time-consuming activity. If the task takes 20 minutes a week, the ROI math doesn't work.

• What happens if the AI gets it wrong?

  For low-stakes tasks like drafting internal communications, errors are easily caught. For anything with legal, financial, or safety implications, build in human review before adopting AI.

• Do our employees have the skills to use AI effectively?

  AI tools require prompting skill — knowing how to ask clearly enough to get useful output. This is learnable, but it's not automatic. Factor in training time.

• What data will employees put into AI tools?

  This is the question most businesses skip — and it's the most important. Confidential client data, financial records, and proprietary information should not go into AI tools without understanding where that data goes.