Managed AI governance for small business
See and Control the AI Your Team Uses
Cyber Dogs AI helps you understand which AI tools your team uses, review captured activity from supported tools and put practical data-protection rules in place. We configure and manage controls for your environment, help identify unapproved tools and review policies as adoption changes. We agree on coverage and responsibilities before deployment.
By Cyber Dogs AI · Last updated
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What does an AI policy need to cover?
A useful policy explains which tools are approved, what information people may enter and who checks the output. It also gives employees a clear route for requesting a new tool or reporting a mistake. Write the rules around real tasks so people can follow them during a busy workday.
- Approved tools and permitted business uses
- Information that must stay out of each tool
- Human review before customer-facing or consequential actions
- A named policy owner and an escalation contact
- A review process when tools or workflows change
How do you find the AI your team already uses?
We combine a staff inventory with visibility from supported applications and browsers. We review available activity, identify tools that need approval and document coverage gaps. Capture depends on the application, browser and enabled configuration; it does not cover every tool or conversation.
Include AI features inside existing business software as well as standalone assistants. Ask people to describe the work they need help with so the policy can provide an approved path.
Managed oversight beyond a policy document
AI usage review
We review available tool activity and maintain an approved-tool inventory with your team. Classifying a tool as unapproved does not itself block access.
Configured data controls
Where supported, we can scope restrictions on actions such as copy, paste and file transfer. We test the selected rules against your workflows and document exceptions before rollout.
Human checkpoints
Name the person who reviews drafts, approves sensitive actions and handles exceptions. Keep responsibility clear when an AI tool contributes to the work.
Sensitive information review
We assess whether sensitive-pattern masking is available for your deployment. It is feature-dependent; hiding information on screen is not a promise that every outgoing prompt is scrubbed.
How do you decide where human review is needed?
Look at the consequence of a wrong answer, the sensitivity of the input and whether an action can be reversed. A draft meeting agenda needs a different review process from a customer commitment. Assign approval before publishing, sending or changing records when a mistake could materially affect another person.
For legal, employment, financial or other specialist decisions, keep the responsible qualified professional involved. A general AI policy does not replace professional review or your obligations to customers and staff.
What does NIST guidance contribute?
NIST's AI Risk Management Framework is voluntary guidance for considering risks throughout AI use. Its companion Playbook offers suggested actions across Govern, Map, Measure and Manage. These resources can inform a small business review without implying certification, a mandatory checklist or a guarantee that any particular tool is appropriate.
Start with one manageable workflow
- 1
Describe the work
Identify the task, its owner and the information it needs. Agree on the business reason for using AI.
- 2
Set the boundaries
Agree on supported tools, permitted inputs and the controls to configure. Define access to captured activity, retention expectations and who can approve changes.
- 3
Practice and review
Test the agreed controls with appropriate sample information. Record what is captured, what is restricted and where coverage is limited before wider rollout.
- 4
Document and revisit
Record the decision, the reviewer and the policy version. Revisit the workflow when the tool or business need changes.
AI governance questions
Can you monitor every AI conversation and prevent all data loss?
No. Coverage depends on supported tools and deployment settings. Acium documents limits on capture, including ChatGPT web chat, and marks some prompt-level controls as roadmap or dry-run. We verify the actual enabled capabilities before promising a control. No monitoring or masking tool guarantees that sensitive information cannot be disclosed.
Is AI governance only for large companies?
A small team still needs to know which tools are approved and who is responsible for the results. Start with a short policy and an inventory of your main workflows. Add detail where the consequences justify it rather than creating a process your team cannot realistically maintain.
Does an AI policy guarantee compliance?
An AI policy documents your decisions and expectations; it does not guarantee compliance or remove the need for specialist advice. Requirements depend on your work and the information involved. Your responsible legal or compliance adviser should review relevant obligations before you approve a sensitive workflow or make a public assurance.
Can training help employees follow the policy?
Training connects written rules to the tasks employees perform. Use realistic examples to practice choosing approved tools, removing restricted information and checking output. Ask each participant to explain when they would stop or seek approval, then revise any instruction that people interpret differently before wider use.
How is governance different from buying an AI tool?
A tool provides capabilities, while governance sets the conditions for using them in your business. Your team still needs an owner, a permitted purpose and a review process. Establish those decisions before expanding access so the software supports a defined workflow rather than becoming an unowned experiment.
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Give your team a clear way to use AI
Bring your current AI tools and one workflow. We can scope managed visibility, practical controls and ongoing review around the systems your team actually uses.
Prefer to talk? Call 406-500-5858.