Nobody can list the AI tools in use
Teams choose assistants, transcription services, design tools and browser extensions independently, with no shared view of what is active.
When useful experiments happen out of sight
Your staff are already using AI. Do you know what they are sharing?
Somebody is drafting emails in ChatGPT. Another person is summarising a customer document. A third has built a genuinely useful workflow in a personal account. The answer is not panic or a blanket ban—it is visibility, approved tools and clear boundaries around business information.
Shadow AI is usually well intentioned
Six signs workplace AI has moved ahead of your rules
People are normally trying to save time or improve their work. The risk appears when the business cannot see the tools, information, accounts or decisions involved.
Personal accounts contain company work
Prompts, uploaded files and useful workflows sit inside accounts the business does not own, configure or recover when somebody leaves.
Information choices rely on instinct
Each person decides whether a customer email, contract, employee detail or internal document is safe to enter into a tool.
Outputs are checked inconsistently
Some staff verify facts and sources carefully. Others copy a confident-looking answer directly into work the business stands behind.
Existing policies say nothing about AI
Information security and acceptable-use rules were written before generative AI, leaving managers and staff to interpret old wording alone.
The best experiments remain personal
Useful prompts and workflows are not documented, tested or shared because there is no approved route for turning an experiment into a business process.
Discover before you govern
Three checks reveal the real workplace AI picture
The first job is visibility, not enforcement. Understand the current behaviour, then make the safer approved route easier to follow.
If people believe honesty will get a useful tool banned, the most important AI activity will stay invisible.
- 01Ask what people already use and why
Run a short, non-punitive discovery exercise covering tools, accounts, repeated tasks, information used and the results people find genuinely valuable.
- 02Classify the information involved
Separate public material from internal, customer, employee, contractual and otherwise sensitive information, then define which categories can enter each approved tool.
- 03Identify the experiments worth keeping
Find the uses that save meaningful time, can be checked by a person and deserve to move from an individual habit into a supported workflow.
Govern the use, not just the tool
Approved AI should be easier than unofficial AI
UK Government research identifies data security and output accuracy among the common challenges businesses face when deploying AI. The NCSC also recommends integrating security into AI projects and workflows from the beginning rather than treating it as a later technical check.
Sources: UK AI Adoption Research and NCSC AI security guidance.
| What changes | Unmanaged use | Approved approach |
|---|---|---|
| Visibility | People experiment privately | Current tools and useful scenarios are understood |
| Accounts | Business work sits in personal services | Approved work uses managed accounts where appropriate |
| Information | Every person judges sensitivity alone | Simple categories explain what can be shared where |
| Outputs | Checking depends on individual habit | Human review matches the risk and purpose of the work |
| Learning | Good workflows leave with the individual | Useful patterns are documented, tested and improved |
Create a safer default
Turn hidden experimentation into an owned business capability
The goal is not a policy nobody reads. It is a small set of decisions that helps people use AI productively without guessing about information or accountability.
Publish a one-page AI-use rule
Name approved tools, prohibited information, acceptable uses, human-review expectations and the person who answers questions.
Move valuable work into managed accounts
Keep ownership, access and offboarding under business control where an experiment has become part of normal work.
Review real use regularly
Use short feedback sessions to find new risks, share useful workflows and update the rules as tools and business needs change.
Choose the useful next step
Start with AI governance, an approved platform or information security
The right route depends on whether you need a complete workplace approach, want to bring AI into Microsoft 365 or have a wider concern about protecting business information.
Build the approved approach
AI Readiness
Understand current use, set practical guardrails and turn the best opportunity into an owned, measurable plan.
Build your AI approach → Use a managed work platformMicrosoft 365 Copilot
Prepare permissions, information and people before bringing AI into Outlook, Teams, Word and the wider Microsoft 365 environment.
Explore Copilot support → Protect the wider environmentManaged Cyber Security
Bring accounts, devices, email and data under one maintained security approach when AI reveals a broader ownership gap.
Explore managed security →1Clear approved-use standard
NamedTools, accounts and owners
HumanReview and accountability
Straight answers
Workplace AI rules, answered plainly
You can protect business information without shutting down the useful experimentation already happening inside the team.
Should we ban staff from using public AI tools?
A blanket ban often drives useful experimentation further out of sight. A better first response is to understand current use, identify the information that must be protected, name approved tools and accounts, and make human review and accountability clear.
Can staff put customer or company information into an AI tool?
Not without understanding the tool, account, contract and information involved. Your rules should explain which categories of information are prohibited, which approved services may be used for defined work and who can authorise an exception when the answer is unclear.
What should a simple workplace AI policy include?
It should name the approved tools and accounts, prohibited information, acceptable uses, required human checking, ownership of final decisions, how copyright or source concerns are handled, and where people ask questions or report a problem.
Why do company-managed AI accounts matter?
Business-managed accounts make ownership, access, offboarding, configuration and support easier to control. They also reduce the chance that useful prompts, workflows or business information become tied to a personal account the company cannot manage.
How can we bring AI use into the open without policing people?
Start with a non-punitive discovery exercise focused on learning: which tasks people are improving, which tools they chose, what information they use and where they feel uncertain. Keep the rules short, make approved routes easier than unofficial ones and review them as the tools change.
Owen Williams · Managing Director
Bring workplace AI use into the open.
Book a relaxed 30-minute call with Owen. Bring the tools people mention, the information concerns and the experiments worth keeping, and we will help you create a safer approved route.
01449 798119 · enquiries@westviewit.co.uk