Should Your Business Build with AI? A Practical Reality Check.

"Should we add AI?" is the question of the moment — and it's the wrong place to start. AI is a tool, not a goal. Here's a grounded way to decide whether it belongs in your product, before you spend a dollar on it.

Start with the problem, not the buzzword

The businesses that get real value from AI don't set out to "use AI." They start with a specific, expensive problem — hours lost to manual sorting, customers waiting too long for answers, data nobody has time to read — and then ask whether AI is the best fix. Sometimes it is. Sometimes a simple script or a better form solves it for a hundredth of the cost.

Where AI actually earns its keep

AI shines when a task involves understanding messy, human language or content at a scale people can't keep up with. Strong, proven use cases:

• Answering repetitive questions from your own documents or policies
• Summarizing, drafting, and rewriting content
• Sorting and tagging incoming messages, tickets, or leads
• Pulling structured data out of unstructured text (invoices, emails, forms)

Where it's probably not worth it (yet)

Be skeptical when the stakes are high and mistakes are costly with no human in the loop, when you have very little data, or when the "AI feature" is really just decoration. Bolting a chatbot onto a site that gets ten visitors a day isn't strategy — it's a distraction.

A simple test before you spend

Ask: Is this a task a smart intern could do with clear instructions — just too much of it for your team to keep up? If yes, AI is likely a great fit. If the task needs deep expertise, real accountability, or perfect accuracy every single time, keep a human firmly in charge and use AI only to assist.

That's the lens I bring at AbbaCodabra: figure out whether — and where — AI genuinely helps, then build only what pays for itself.