The hype around AI has reached a fever pitch. Every vendor is claiming their products now include AI. Some claims are valid. Many are not. If you're trying to figure out where AI actually makes sense for your business, this guide will help.
What's Real and What's Hype
There are two distinct categories of AI in business right now:
- Generative AI (ChatGPT, Copilot): These tools generate new content—text, code, designs—based on patterns they've learned. They're useful for brainstorming, drafting, and problem-solving.
- Predictive AI: These use historical data to forecast trends, identify patterns, or flag anomalies. Think fraud detection, demand forecasting, or churn prediction.
Generative AI is having its moment. Every tool wants to add a "chat with AI" feature. But generative AI isn't useful for every task. It's not a replacement for business logic, and it can't access real-time data without integration work.
Where AI Actually Works for Businesses
Rather than asking "Can we add AI?", ask "What repetitive, time-consuming task could AI eliminate or speed up?"
- Customer support: AI chatbots handle routine questions (hours of operation, billing) and escalate complex issues to humans.
- Content generation: Draft marketing copy, social media posts, and email campaigns faster using generative AI.
- Code and documentation: Developers use GitHub Copilot and similar tools to write boilerplate code, saving hours per week.
- Data analysis: AI can analyse large datasets, identify patterns, and surface insights faster than manual review.
Three Steps to Implementing AI Responsibly
- Start small: Pick one process, test an AI solution in a low-risk way, measure the results. Don't try to transform your entire business overnight.
- Involve your team: AI tools are only as good as the people using them. Train your team on what AI can and can't do, and encourage feedback.
- Watch for blind spots: AI models can reflect bias in the data they're trained on. If you're using AI for hiring, lending, or other consequential decisions, audit regularly for fairness.
AI is not going away. But neither is the need for clear thinking about when and how to use it. The organisations that win are the ones that treat AI as a tool to augment their team, not as a replacement for strategic thinking.