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AI Governance, Security and Risk for Small and Mid-Sized Companies
CyberGipsy sets the rules before the tools: what data may go into which system, who approves an AI-generated output that reaches a customer, how decisions are logged, and what happens when something goes wrong. It is the least exciting part of an install and the one that prevents the expensive incidents.
Definition. AI governance is the set of policies, controls and records that determine how a company uses AI systems, what data they may process, who is accountable for their outputs and how risks are monitored.
The problem this removes
- Half your team is already pasting client data into consumer AI tools and nobody has said anything.
- You cannot answer a client's security questionnaire, so you lose the tender.
- Nobody knows who is responsible when an automated message says something wrong.
What we actually build
AI use policy
Plain-language rules for what staff may and may not do, with examples.
Data classification
What is confidential, what may leave the company, and through which tools.
Approved tool register
Which systems are sanctioned, on what plan, with what data settings.
Human-in-the-loop map
Every automated output that reaches a customer has a named approver.
Logging and audit trail
What the system did, on what input, and who signed it off.
Risk register
Failure modes, likelihood, impact and mitigation, reviewed quarterly.
Incident plan
What to do when an agent misbehaves, including notification duties.
Vendor and security review
Access, retention, sub-processors, exit plan.
How the install works
Five steps. Nothing here is a workshop.
Find what is already happening
Shadow AI use is universal and the audit is always the surprise.
Classify the data
Two hours of work that determines everything after it.
Write the policy short
Two pages people read, not twenty they do not.
Instrument the controls
Approved accounts, settings, logging, approvals.
Review quarterly
Tools change monthly; the register must keep up.
What changes, in numbers
Honest ranges from installs of this type. Your baseline is measured during the diagnostic so the comparison is yours, not an industry average.
| Measure | Typical before | After install |
|---|---|---|
| Staff using unapproved AI tools | Most | Policy and sanctioned alternatives in place |
| Automated customer outputs with a named approver | None | All |
| Client security questionnaires answerable | No | Yes |
| Logged AI decisions | None | Complete |
| Time to review the risk register | Never done | Quarterly, 60 minutes |
What AI will not do here
Governance does not make a system safe by itself and it is not legal advice. Regulation is moving fast and differs sharply between our cities: the EU AI Act phases in obligations through 2026 and 2027, GDPR governs personal data in Europe, and other markets have their own regimes. We build a defensible, documented posture and we tell you where you need a qualified lawyer in that jurisdiction rather than pretending a template covers it.
AI Governance, Security & Risk: questions we get asked
Is this needed for a company of twenty people?
The two-page version is. You need to know what data goes where and who approves customer-facing output. The full framework can wait until you are selling to clients who ask for it.
Does the EU AI Act apply to me?
It may, depending on what you deploy and where. Obligations differ by risk category and are phasing in over several years. We map which of your systems fall where and flag anything that needs specialist legal review.
Can we stop staff using consumer AI tools?
You can, but blocking without providing a sanctioned alternative just pushes it onto personal phones. The workable approach is approved tools with the right data settings, plus a clear policy about what never leaves the company.
What data settings matter most?
Whether your inputs are used for model training, how long they are retained, where they are processed, and who at the vendor can access them. Business and enterprise plans usually differ substantially from consumer ones.
Who is accountable for an AI mistake?
Your company, in almost every legal framework. That is precisely why the human-in-the-loop map exists and why we log approvals.
How long does this take to install?
One to two weeks for a small company, running alongside the other work rather than delaying it.
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