Simple AI software is becoming the new office shared spreadsheet.
Which means we are about to repeat the Excel macro era … with production access.
For years, people who understood Excel well enough could solve a problem that nobody had put in the IT queue. They built a tracker, a forecast, a calculation, or a tiny piece of business logic that saved the team time.
Then the spreadsheet got passed around. Then it became important. Then the person who built it went on vacation, changed jobs, or developed a very selective relationship with Teams notifications.
The issue was never that people built useful things. The issue was that a personal tool quietly became part of how the business operated without anyone noticing the moment it changed.
AI makes that jump much easier
Today, someone in Finance can describe a variance-analysis tool in plain English and get a working interface, workflow, and code. Someone in Operations can build an exception-routing tool. Someone in Sales can assemble account context before a call.
AI can help create the interface, write the code, connect a spreadsheet, call an API, apply business rules, draft an email, and update a record in another system.
That is simple software. It is not a full enterprise platform. It is a useful tool built close to the person who understands the problem best.
And that is exactly why it will spread.
The risk starts when it stops being personal
At first, the tool saves one person time. Then five people use it. Then twenty. It gets connected to customer data or Salesforce. It becomes the answer to a process nobody wants to do manually again.
At that point, it is no longer “something I built to save time.” It is software the business relies on.
The old spreadsheet macro might have produced a bad report when someone changed a column. This version can send messages, move data, make recommendations, and update systems … all while confidently telling everyone it completed the task.
That is a much bigger opportunity than a spreadsheet. It is also a much bigger responsibility.
Do not shut it down. Give it a way to grow up.
The wrong response is to tell people they are not allowed to build. That simply teaches teams to hide the useful things they create.
The better response is to recognize a graduation point. A tool needs more attention when it becomes shared, connected, or business-critical.
That does not mean every small app needs a six-month project plan. It means the organization should be able to answer a few practical questions:
- Who owns this tool when its creator is unavailable?
- What systems and data can it access?
- Can other teams find and reuse it instead of rebuilding the same solution?
- What happens when the logic changes or the tool gets something wrong?
- Has it crossed the line from personal productivity into production software?
That last question matters more than it sounds. Most tools do not announce that they have become critical. They just accumulate users, connections, and consequences.
The next wave of AI value is organizational
The first round of AI value is personal. People use it to work faster, make better decisions, and build things they could not have built alone.
The next round is organizational. Companies need a way to identify the useful assets emerging across the business, make them discoverable, give them appropriate ownership, and help the best ones become safe to scale.
The companies that figure this out will move much faster than companies that force every idea into a central backlog. They will get the benefit of local problem-solving without creating a new generation of invisible infrastructure.
Because the next shared spreadsheet may not break because someone changed a column name.
It may update 4,000 customer records before lunch.
