Small Businesses are taking advantage of the benefits of AI more than ever, but not enough attention is being paid to the real risks that accompany its use. In this article, we will discuss the risks for your small business associated with AI and the importance of having robust AI governance in place to ensure its safe usage.
AI Governance Overview
AI governance at a small business or nonprofit involves creating a comprehensive framework of policies, procedures, guardrails, and ethical guidelines to ensure AI systems and tools are used safely, legally, and in alignment with your organizational goals.
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A large majority of small businesses report using AI tools, most with positive results, but only a small percentage report having any type of AI governance in place.
AI Risks
Some key risks of AI use are explained below.
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Data security and privacy
When employees use free AI tools without permission to accomplish tasks, known as “shadow AI,” they can arbitrarily input sensitive company and client data to execute tasks. This data is used and shared by AI large language models for training purposes, which results in major security and privacy issues. Common problems that can result from this behavior include data leakage, inaccurate information, and compliance violations. Many users treat AI tools like another software application without appreciating the danger their actions present.
Operational issues
AI is not perfect and occasionally misunderstands queries or provides confident-sounding, wrong answers known as hallucinations, which result in incorrect AI outputs. Employees relying on this false information will inevitably make poor decisions in pricing, marketing, planning, and other business areas.
Reputational and legal exposure
AI sometimes performs poorly with bias in screening tools, which could expose your company to discrimination claims in hiring and promoting. AI-generated content can spread misinformation or false claims damaging trust and your reputation and also opening you up to legal action. Use of AI tools can sometimes cause your activities to stray out of compliance with some standards.
Vendor risk
When small businesses use third-party AI solutions, they open themselves up to additional risks if those vendors do not manage their AI systems effectively. Supply chain errors can be replicated across vendors and partners. Companies should always review AI-specific terms in vendor contracts for liability and data handling.
Building Effective AI Governance
Despite these considerable risks, your small business can take some straightforward actions to develop and implement a comprehensive AI governance plan to help overcome them.
Adapt the tools and controls already in place
Most small businesses don’t need to start from zero for effective AI governance. Companies can simply update their current IT policies, risk management frameworks, security controls and audits, and vendor management practices.
Create simple acceptable use policy and procedures
Similar to cyber hygiene, your company needs to create a framework of policies and procedures that ensures AI hygiene. This should include which free tools should never be used, who has the permission to use AI tools, and what sensitive data should never be inputted into AI tools. Your organization should ensure that these policies and procedures emphasize transparency, fairness, and data protection.
Monitor all AI tools
Your leadership team should create a simple AI inventory such as a shared spreadsheet that lists every AI tool in use at your organization. Note what data the tool accesses, who uses it, and potential risks. Clarify uses as low-risk such as for internal interactions or higher-risk for customer-facing chatbots, financial forecasts, and other important operational deliverables.
Incorporate human oversight and collaboration
Delegate a small group or one owner/IT partner to review new AI tools. Meet regularly to approve exceptions and review incidents.
Importantly, apply Human-in-the-Loop (HITL) safeguards to your sensitive AI functions. HITL refers to systems where humans actively participate in the operation, supervision, or decision-making of automated or AI-driven processes. This approach ensures companies can benefit from AI systems with automation efficiency while maintaining human oversight for accuracy, ethical reasoning, and accountability. This method is a valuable control to prevent biased or misleading outputs.
Train your team
It is important to use training sessions to get your team familiar with your AI acceptable use policy and answer any of their questions. Critical points such as never inputting sensitive data into public tools and fact-checking all AI outputs should be emphasized often.
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Use paid and free tools for help
There are a variety of paid and free tools that will assist your company with AI governance. For example, experts recommend using the free templates from NIST’s AI Risk Management Framework Playbook for effective inventorying of your AI tools, risk classification, and help with formulating policies. For paid tools, we recommend you work closely with your IT partner to determine which ones work best for your organization.
AI governance must be continuous
Another issue that companies need to recognize when thinking about their AI governance is to stay vigilant. Unlike static applications, AI systems will evolve after deployment. This means controls and methods that were sufficient to start may not be enough a few months or years later.
As a result of AI’s changing nature, AI governance must be thorough and continuous, as opposed to a superficial one-time process.
Work with an AI Governance Expert
Our most important recommendation for successful AI governance is to work with an experienced IT Support partner. These trusted experts are familiar with effective AI tools and policies and will help you implement and utilize them seamlessly.
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With their help, your organization will be able to reap the considerable benefits of AI while protecting sensitive data, reducing legal exposure, and maintaining the trust of your employees and clients. Having comprehensive AI governance in place will also pay dividends when bidding on new contracts as well as when new partners and clients ask you for proof of responsible AI practices.
Small businesses with proper AI governance can minimize AI risks, run more efficient operations, and build a genuine competitive advantage.



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