AI needs human help:  An example is AI Labeling.  This is where humans assist AI Models by labeling, correcting & teaching AI models. Human intervention is critical in lowering AI hallucinations and improving accuracy.  Systems struggle to Self Correct.

Humans Understand Humans:  Many data-points covering customer, sales & marketing can be automatically captured then analyzed by business software systems. Other information including intel from customers, prospects, salespeople and partners still needs to be captured, reviewed then categorized by humans to ensure reporting accuracy.

Data flows across the enterprise:  Data can be communicated between different companies' core business systems via the internet (ie ERP, SCM, HRIS, Records, Purchasing, Matter Mgnt ect).  Humans are integral in ensuring data is correctly captured, especially when this data comes from other humans.  If it is bad in 1 place, it is bad in many places.

Managing Structured & Unstructured Data: Many contractual, financial, government and compliance interactions can require human follow-up/ engagement since emails and automated signals are not always responded to within needed timeframes nor with needed details and content is not always structured.

GIGO can Cascade:  The accuracy of information provided by a BI, Analytics or reporting system is critical. Some information can be captured electronically, but this data this typically should be reviewed for anomalies.  Some of it will need to be adjusted.  Too many anomalies can begin to create major reporting problems and cascade.

Different Systems need Varying Data Types: Having custom software systems can add to the complexity of data automation and system connectivity. Human integration can be important to ensure multiple systems are updated correctly.