The Non-Technical CTO's Guide to Evaluating AI Opportunities

You don't need to understand transformers, fine-tuning, or vector databases to make good decisions about AI for your business. You need a framework for asking the right questions.

This guide is for CTOs, founders, and business leaders who know AI matters but aren't sure how to evaluate specific opportunities. No jargon required.

The Four-Question Framework

Before saying yes to any AI initiative, run it through these four questions:

1. What Specific Problem Does This Solve?

"We should use AI" is not a strategy. "We should use AI to reduce support ticket response time from 4 hours to 15 minutes" is.

Red flags:

"Everyone else is doing it"
"It would be cool to have AI that..."
"Our investors want to see AI in our product"

Green flags:

A specific, measurable problem
A clear "before" and "after" metric
Real pain felt by your team or customers today

2. What Data Do We Have?

AI runs on data. The quality and quantity of your data determines what's possible.

Questions to ask:

Do we have structured data about this problem? (databases, spreadsheets, logs)
Do we have unstructured data? (documents, emails, chat transcripts)
How much data? Hundreds of records, thousands, millions?
How clean is it? Consistent formats, or a mess?

Rule of thumb: If you have thousands of examples of the thing you want AI to do, you're in good shape. If you have dozens, you'll need a different approach (or to start collecting data first).

3. What Happens When AI Gets It Wrong?

Because it will. The question is: what's the cost?

Low risk (good starting points):

AI drafts a response, a human reviews before sending
AI suggests categories, a person confirms
AI summarises data, team uses it as a starting point

High risk (proceed carefully):

AI makes decisions without human review
AI handles sensitive customer data
Errors have compliance or safety implications

Start with low-risk applications. Build confidence and understanding before tackling the high-risk stuff.

4. What's the Total Cost of Ownership?

AI costs more than the API bill. Factor in:

Development cost: Building, testing, and deploying the solution
Ongoing API costs: These scale with usage — model them out
Maintenance: AI systems need monitoring, retraining, and updates
Human oversight: Someone needs to check outputs and handle edge cases
Opportunity cost: What else could your team build with this time?

Compare this to the cost of the current manual approach. The math often works in AI's favour, but not always.

The Implementation Spectrum

Not every AI initiative needs to be a six-month project. Here's how to think about scope:

Quick Wins (Days)

Connect an existing AI tool to your workflow (e.g., AI-powered search over your docs)
Use AI APIs to automate a specific, narrow task
Set up AI-assisted coding for your development team

Medium Projects (Weeks)

Build a custom chatbot trained on your knowledge base
Automate a multi-step business process with AI
Create AI-powered analytics dashboards

Strategic Initiatives (Months)

Develop a proprietary AI feature in your product
Build an AI-driven decision support system
Implement organisation-wide AI training and adoption

Start with quick wins. They build internal knowledge and demonstrate value while the investment is low.

What to Look for in an AI Partner

If you're bringing in external help (which I'd recommend for most SMBs), look for:

Technical depth AND business understanding — an AI expert who can't explain the ROI is the wrong fit
Pragmatism over hype — beware anyone who says AI will solve everything
Hands-on capability — they should build, not just advise
A track record of shipping — AI in production is very different from AI in a demo

The Action Step

Pick the single biggest time sink in your business — the task where you think "there has to be a better way." That's your starting point for AI.

If you want to explore this further, I offer free 30-minute consultations where we can assess your specific situation and identify the most impactful AI opportunities for your business. No commitment required.