18/05/2026
When people hear Al, the first thing that comes to mind are ChatGPT Claude, Gemini. And that's a big problem.
Al is generally perceived as a "chatbot" when it is so much more
Most business owners are yet to grasp the capabilities of Al systems and how it can benefit their enterprise.
Behind the scenes, Al can monitor inventory in real time, predict demand and supply patterns analyse years of operational data, and surface insights teams never had the time or capacity to uncover.
Organisations are deploying Al to detect fraudulent transactions before they clear, support customers at 2am without humar intervention, optimise internal workflows, and help leadership teams make faster, better-informed decisions.
Take JPMorgan for example.
The bank had been processing thousands of complex legal and commercial credit agreements manually. Teams of lawyers and compliance staff had to review documents line by line to identify risks, obligations, inconsistencies, and potential fraud
The process was slow, expensive, and heavily dependent on human review until JPMorgan built an Al system called COiN (Contract Intelligence).
Instead of humans spending weeks reviewing documents, COiN scans thousands of agreements in seconds, extract critical clauses, flag anomalies, identify potential risks, and convert unstructured lega documents into usable operational data,.
This changed everything about the process. The bank reportedly saved over 360,000 hours of manual legal work annually while reducing operational errors.
The possibilities are endless, but first, we have to change the direction of the conversation beyond prompting a chatbot or using Al as a personal assistant.