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Have Your Employees Become AI Middleware?

Sep 28
3 min read

Updated: 5 days ago


AI was supposed to save us from repetitive work.


Yet somehow, in some businesses, employees have become highly paid copy-and-paste machines.


They copy customer information from one system into another. They paste data into AI tools. They rewrite prompts because the AI didn’t have enough context. Then they check the answer, fix what the AI got wrong, and paste the finished result somewhere else.


Congratulations. Your employee has become AI middleware.


And unfortunately, that wasn’t in the job description.


What Is AI Middleware?


Middleware typically helps different software systems communicate with one another.


But when those systems don’t connect properly, somebody has to fill the gap.


That somebody is often an employee.


You might see people:

  • Downloading data from one system and uploading it into another

  • Copying customer information into an AI assistant

  • Moving AI-generated content back into a CRM or business app

  • Checking the same information across several systems

  • Rewriting prompts because the AI is missing important context

  • Fixing AI-generated work that was almost right


One task may only take a few minutes.


Multiply it by several employees, several times a day, every day, and suddenly you’re burning a lot of expensive human hours helping computers communicate.


Welcome to the future. Apparently, it involves Ctrl+C and Ctrl+V.


AI Can Make You Faster While Still Creating More Work


Here’s where things get tricky.


AI really can make your employees more productive.


Emails can be written faster. Reports can be summarized in seconds. Documents can be created more quickly. Employees can find information without digging through mountains of files.


Those are real benefits.


But businesses sometimes focus on the time AI saves while ignoring the new work it creates.


An AI tool may save 15 minutes on writing something but require 5 minutes to copy data, check results, fix formatting, and move information around.

That’s still an improvement.


But it’s nowhere near the improvement you thought you bought.


Your AI Tools Aren’t Always the Problem


The problem is often what’s underneath them.


Businesses have spent years adding technology.


There’s a CRM over here. Accounting software over there. A ticketing platform. Project management software. Microsoft 365. Industry-specific applications. And probably an Excel spreadsheet created in 2017 that everyone is terrified to delete.


Then AI gets dropped on top.


If those systems don’t share information properly, AI can add another layer rather than remove one.


Your employees become the bridge.


They’re manually extracting information from System A, feeding it to the AI, checking the results, and putting the results into System B.


That’s not really automation.


That’s manual labor wearing an AI hat.


Look at the Entire Workflow


Before adding another AI tool, look at how information actually moves through your business.


Where does customer information start?


Which systems need it?


Where are employees entering the same information twice?


What gets copied and pasted?


Where do people need to stop and verify information?


Which AI tools require employees to constantly provide information that already exists somewhere else?


Those little handoffs matter.


Individually, they can seem harmless. Across an entire company, they can consume hundreds of hours.


Your Employees Shouldn't Be Connecting Software by Hand


Your team has better things to do.


They should be solving problems, helping customers, making decisions, creating things, and growing the business.


They shouldn’t spend half the day helping one piece of software understand another.


If employees are constantly switching apps, copying information, correcting AI output, and manually stitching workflows together, your technology strategy probably needs some attention.


AI should remove busywork.


It shouldn’t just create newer, shinier busywork.


Take a closer look at your technology, integrations, automation, and workflows. The goal isn't simply to have more AI.


The goal is to have technology that actually makes work easier.


If your employees have accidentally become AI middleware, we can help you connect the dots and get them back to doing work that actually needs a human.

 
 
 

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