This blog was originally published by TruAdvantage here
You Blocked ChatGPT. Do You Actually Know Where Your Team Is Using AI?
Blocking ChatGPT gives a business a clear action to point to. It does not, by itself, answer a more important question: how are employees using AI to get their work done?
An employee facing a deadline still needs to draft an email, summarize a document, or organize research. If the organization has restricted one tool without explaining which alternatives are permitted, that employee is left to interpret the boundaries.
For business leaders, this creates a visibility problem. Before deciding whether workplace AI is under control, they need to understand which tools employees use, what tasks those tools support, and what information goes into them.
A Restriction Is Only One Part of the Decision
There can be valid reasons to restrict an AI tool. The difficulty comes when a restriction becomes the organization’s entire approach.
“Do not use this application” tells employees what to avoid. It leaves several practical questions unanswered:
– Is another AI tool approved?
– Can employees use AI for work involving public information?
– Are AI features within existing business applications permitted?
– Who can approve a new use case?
– Where should employees turn when the rules are unclear?
Without those answers, leadership cannot assume that a restriction has resolved the underlying issue.
Unapproved AI use, often called shadow AI, creates an oversight gap: the organization may not know which tools are involved or what information employees are sharing.
Look Beyond the Chatbot Website
An inventory focused only on standalone chatbots will provide an incomplete picture.
AI capabilities also appear within email, document, meeting, customer service, and CRM applications. Reviewing workplace AI therefore requires looking at features and workflows, as well as application names.
A useful starting question is:
“Where does AI enter this task, and what information can it access?”
That question connects the technology to the work. It helps distinguish between an employee asking for presentation title ideas and an employee submitting a confidential document for analysis.
Both involve AI. They require different consideration.
Give Employees a Clear, Supported Path
A practical AI approach gives employees a “safe yes”: a defined way to use approved tools within understood boundaries.
That requires four clear answers.
Which tools are approved?
Employees should be able to find the approved list and understand whether approval covers a particular account, feature, or business use.
Which tasks are permitted?
Approval should connect to the work employees want to do. Writing assistance, research, summarization, and analysis each raise questions about inputs and how results will be used.
What information can employees enter?
Public information, internal business information, and confidential or regulated data should not be treated as interchangeable.
Employees need understandable data rules before they encounter a sensitive task.
Who handles uncertainty?
A policy becomes more useful when it names a person or team employees can approach. “Ask before proceeding” needs a clear destination.
An Approved Tool Still Needs Guardrails
Selecting a platform does not complete AI governance.
A workable approach brings together six elements:
- Approved tools: A clear choice of permitted applications and features.
- Data rules: Boundaries for the information employees may share.
- Appropriate access: Permissions that reflect the information and tasks involved.
- Policy: Documented expectations for acceptable use.
- Training: Guidance employees can apply to everyday decisions.
- Oversight: Assigned responsibility for reviewing use and addressing unresolved questions.
These elements support one another. Training is easier to apply when the rules are clear. A policy is easier to follow when approved options exist. Oversight provides a way to revisit decisions as workflows change.
Start With Three Questions
Businesses can begin by asking employees and department managers three questions:
1. Which AI tools or features are you using?
Include capabilities within existing applications, alongside standalone tools.
2. What work are you using them for?
Identify the tasks employees want to improve. This helps leadership understand the practical demand behind AI use.
3. What information are you entering or making available?
Use this discussion to identify where public, internal, or confidential information enters the workflow.
The purpose is to build an accurate picture of current use. From there, the business can define approved options, clarify data boundaries, and assign ownership.
Measure Understanding Alongside Restrictions
A useful test of workplace AI governance is whether employees can explain what they are allowed to do, what information they must protect, and where to ask for help.
If those answers are unclear, another blocked website will leave important questions unresolved.
The next step is a conversation about how work gets done and clear guidance employees can follow when the next deadline arrives.
