> ## Documentation Index > Fetch the complete documentation index at: https://docs.typingmind.com/llms.txt > Use this file to discover all available pages before exploring further. # Shadow AI at Work: How to Give Employees AI Access You Can Manage A team member asks whether they can upload a client document to an AI tool. Before you answer, another department requests a subscription to a different platform. Someone else already uses a personal account because it helps them finish work faster. You now have several decisions to make: which tools to approve, what information employees can use, who pays, and how access should be managed. This is an illustrative scenario, but it provides a useful starting point for understanding shadow AI. The immediate challenge is giving employees a practical way to use AI while establishing clear responsibilities around that use. This guide explains how to recognize the problem, understand what drives it, and evaluate whether a shared AI workspace would help. ![Untitled Design](https://mintcdn.com/typingmind/R6kPQmnCXRGm73sp/images/Untitled-design.png?fit=max\&auto=format\&n=R6kPQmnCXRGm73sp\&q=85\&s=63afaecd260c4a1b52bdd9304d1523bc) ## What Is Shadow AI? Shadow AI is the use of AI tools for work without the organization’s formal approval or oversight. IBM uses the term to describe unsanctioned AI use by employees or end users. [Read IBM’s definition of shadow AI](https://www.ibm.com/think/topics/shadow-ai) Examples might include: * An employee summarizing internal documents through an unapproved personal AI account. * A team purchasing an AI service without completing the company’s review process. * Someone connecting an AI application to a company document repository without authorization. * A department introducing an AI agent without assigning responsibility for its access and ongoing maintenance. Using several AI tools does not automatically constitute shadow AI. A company can deliberately approve different tools for different purposes. The relevant questions are whether that use is understood, authorized, and managed. ## When Does Informal AI Use Become a Management Problem? Start by looking for operational friction rather than assuming that every unfamiliar tool represents a crisis. ### Every request becomes a separate decision If each department asks for a different AI product, the person responsible for approval has to repeatedly establish what it does, why it is needed, and how it will be used. Without a consistent evaluation process, similar requests can receive different answers. ### Employees cannot explain what information they are allowed to use “Be careful with company data” leaves too much room for interpretation. Can employees summarize an internal presentation? What about customer feedback? Does removing names change the answer? Who should they ask when they are unsure? If employees cannot find practical guidance, even well-intentioned users may make inconsistent decisions. ### Access and spending are difficult to account for Separate purchases and accounts can make basic administration more complicated: * Which accounts support active work? * Who owns each subscription? * What should happen when someone changes roles? * Which tools duplicate an existing capability? * Who reviews continued access? These questions become more pressing as informal experiments turn into recurring workflows. ### Useful workflows stay with individual employees An employee may develop an effective prompt, assistant, or document workflow, but colleagues may have no easy way to reuse it. That creates a second problem: the organization pays for experimentation without consistently turning it into a shared capability. ## Understand Why Employees Choose Their Own Tools Before asking people to change, find out what they would lose by moving to the approved alternative. These are possible explanations to investigate, not assumptions about every employee. ### The approved option does not support their task A tool may work well for basic writing but fall short for another workflow. Employees might need a different model, document handling, integrations, or a more suitable interface. Ask them to demonstrate the task. A feature request becomes easier to evaluate when it is tied to actual work. ### Getting access takes too long A lengthy approval process can conflict with a task that needs to be completed today. Review how employees request access, who makes the decision, and how long a response usually takes. A process that is easy to follow is more likely to be used. ### They already know another tool Moving tools has a cost. Employees may need to recreate prompts, learn a new interface, and check whether their usual tasks still work. A successful rollout should account for that effort. ### The guidance is unclear Some employees may not know whether a particular use is permitted. They need a short, accessible explanation of approved tools, allowed uses, restricted information, and where to ask for clarification. **Before choosing a new platform, write down the workflows your current approach does not serve well.** That list should shape the evaluation. ## What Should an Approved Alternative Provide? An approved AI workspace needs to work for employees and the people responsible for administering it. Use the following criteria to evaluate options. | Requirement | Question to ask | | :- | :- | | Workflow fit | Can employees complete their important tasks here? | | Model access | Are the approved models suitable for those tasks? | | User administration | Can the organization manage who has access? | | Usage visibility | Can administrators understand activity within the workspace? | | Resource controls | Can usage be bounded in a way that fits the pilot? | | Shared resources | Can teams reuse approved prompts, agents, and knowledge? | | Data handling | Are storage, provider connections, and processing arrangements understood? | | Ownership | Who maintains the workspace and handles requests? | Evaluate the actual configuration you intend to use. A list of available features does not establish that the workspace meets your requirements. ![Image](https://mintcdn.com/typingmind/i1AAWPnClc1XfkuS/images/image-40.png?fit=max\&auto=format\&n=i1AAWPnClc1XfkuS\&q=85\&s=fa8116e5ce3bd26a2d9c1e7f7ce5cc58) ## Where TypingMind Teams Fits TypingMind Teams provides a shared AI chat workspace with access to multiple model providers, administration controls, shared resources, and usage analytics. It is one option to evaluate when employees need model choice within a company-managed environment. [Explore TypingMind Teams](https://custom.typingmind.com/?utm_source=docs) A practical evaluation should connect those capabilities to a specific need: | Need | What to evaluate in TypingMind Teams | | :- | :- | | Employees need different models for different work | Whether the models configured in the workspace support the selected tasks | | Administrators need to manage access | Whether the available roles and access settings fit the organization’s responsibilities | | Teams want repeatable workflows | Whether shared agents, prompts, and connected knowledge make the work easier | | Managers need visibility into use | Whether the available analytics answer the pilot’s reporting questions | TypingMind Teams also supports reusable usage limit groups and analytics broken down by dimensions such as model, agent, and user. Its documented limits include messages and characters; treat these as usage controls rather than assuming they guarantee an exact spending cap. [Review usage and limits](https://custom.typingmind.com/features/usage-and-limits) The important test is whether the configured workspace offers a useful, manageable alternative for the work employees already do. ![Image](https://mintcdn.com/typingmind/i1AAWPnClc1XfkuS/images/image-41.png?fit=max\&auto=format\&n=i1AAWPnClc1XfkuS\&q=85\&s=6ad78c64ece71a9f3a534b046dd95681) ## What a Shared Workspace Does Not Solve by Itself A shared AI workspace gives you an environment to administer. It does not automatically give you visibility into every AI application employees use elsewhere. Organization-wide shadow AI discovery is a separate capability. For example, Microsoft describes its discovery feature as a network-based way to identify unsanctioned AI applications. [See Microsoft’s explanation of shadow AI discovery](https://learn.microsoft.com/mt-mt/entra/global-secure-access/concept-shadow-ai-discovery) Similarly, introducing a workspace does not by itself: * Establish which categories of information employees may use. * Verify every generated answer. * Replace the review of connected providers and services. * Ensure employees will adopt the tool. * Resolve ownership of existing accounts and subscriptions. Decide which problems the workspace is intended to address and which require another process or control. ## Start With a Small Pilot A pilot lets you evaluate a proposed change without requiring every employee to move immediately. ### 1. Select one recurring workflow Choose work that happens often enough to evaluate and has a clear owner. Possible examples include: * An onboarding assistant using approved internal documents. * A support drafting assistant working from an approved help center. * A writing workflow using reviewed templates and suitable source material. Choose a task where the team can explain what a useful result looks like. ### 2. Record the current workflow Before changing anything, document: * How the task is completed today. * Which tools are involved. * What information is used. * Where people encounter delays or rework. * How the final result is checked. This gives you a baseline. Without it, it is difficult to tell whether the new workspace improves the work. ### 3. Agree on the pilot’s boundaries Write a short guide covering: | Area | Decision to make | | :- | :- | | Participants | Who will receive access? | | Use case | Which tasks are included? | | Models | Which connections are approved for the pilot? | | Information | What may and may not be entered? | | Administration | Who manages users and configuration? | | Usage | What limits and spending review will apply? | | Feedback | Where should participants report problems? | Use concrete examples in the information guidance. Employees should not have to interpret a broad policy from scratch each time they ask a question. ### 4. Help participants recreate their useful workflows Ask participants to bring a task they already perform. Help them configure the prompts, agents, or documents needed to complete it in the new workspace. If they cannot reproduce an important part of their current workflow, record the gap. That feedback is a reason to improve the rollout or reconsider the fit. ### 5. Review the results before expanding Choose a review date and evaluate the pilot using the criteria agreed at the beginning. | Measure | What it tells you | | :- | :- | | Task completion | Whether participants can accomplish the selected work | | Output quality | Whether results meet the team’s review criteria | | Usage | Whether participants return to the workspace | | Cost | What the selected workflow costs under actual use | | Administration effort | How much work access and configuration require | | Unresolved gaps | Why participants still need another tool | Low adoption needs investigation. It may indicate a workflow gap, insufficient onboarding, or an unsuitable product choice. A successful pilot should provide enough evidence to decide what to expand, change, or stop. ![Image](https://mintcdn.com/typingmind/i1AAWPnClc1XfkuS/images/image-42.png?fit=max\&auto=format\&n=i1AAWPnClc1XfkuS\&q=85\&s=4a648d9fedb64e66c077bf81c334af66) ## Make the Approved Path Easy to Use After the pilot, publish a short internal guide answering five questions: 1. Where do I access the approved workspace? 2. What can I use it for? 3. What information can I enter? 4. How do I request another model, tool, or integration? 5. Where do I report a problem or uncertain answer? Assign an owner to that guide and keep it current. The request process matters after launch, too. If employee needs change and there is no practical way to ask for additional capabilities, the original reasons for working outside the approved environment may remain. ## A Checklist Before You Choose a Workspace Use these questions in your evaluation meeting: * Have we identified the workflows employees want help with? * Have we asked why the current approved options are insufficient? * Can the proposed workspace support those tasks? * Have we reviewed its provider connections and data handling? * Do employees have understandable usage guidance? * Can we manage access and review usage within the workspace? * Have we assigned an operational owner? * Do we know what a successful pilot would look like? * Have we separated workspace administration from organization-wide discovery? If several answers are unclear, resolve them as part of the pilot rather than assuming a platform purchase will settle them. ## Frequently Asked Questions ### Is using multiple AI tools always shadow AI? No. Several tools can be deliberately approved for different workflows. Shadow AI concerns use that falls outside the organization’s approval or oversight. ### Should every employee use the same AI model? That depends on the work and the organization’s requirements. Evaluate model access against actual tasks rather than choosing solely for uniformity. ### Does a company AI workspace eliminate shadow AI? It can provide an approved environment for selected workflows. Eliminating use outside that environment is a broader organizational challenge involving adoption, guidance, and any separate discovery or enforcement measures you require. ### How do we know whether employees will switch? Ask them to complete real tasks during the pilot. Compare the experience with their existing workflow and document what prevents them from moving. ### What is a useful first workflow? Choose something recurring, measurable, and supported by approved information. An internal onboarding assistant is one option: prepare a small document set, configure the assistant, and test its answers before expanding access. ## Give Employees a Practical Reason to Move Start by understanding what employees are trying to accomplish and why their current tools help. Then evaluate whether an approved workspace can preserve those benefits while giving the organization a clearer way to manage access, usage, and shared resources. With TypingMind Teams, you can start by configuring a workspace for one group and one recurring task. Test the workflow, collect feedback, and review the results before deciding on a wider rollout. [Explore TypingMind Teams and plan your first pilot](https://custom.typingmind.com/?utm_source=docs). This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.