Artificial intelligence is also becoming more accessible to smaller firms. There is now an opportunity for MSMEs to leverage AI for customer services, marketing, forecasting of sales, document processing, hiring, accounting, and many other business operations.
However, implementing an AI solution is different from scaling AI in an organization. The more employees use different AI applications and AI begins impacting the decision-making process within a business, the more issues related to data, security, accuracy, accountability, and human oversight arise.
The OECD study on AI adoption by SMEs for 2025 emphasizes the significance of data readiness, skill development, and light governance while implementing AI in organizations.
For MSMEs, AI governance should not involve the creation of a big compliance team. Instead, it should consist of setting certain rules and responsibilities in advance, when AI implementation is still feasible.
Develop an AI Use Policy
The first step in this process involves creating a set of clear guidelines concerning the use of AI by employees.
Specifically, such a policy would define:
Allowed tools for AI usage
Allowed company data for inputting in AI systems
Tasks that need human approval after processing by AI
Individuals who could give permission to implement AI tools
Actions that employees should take when AI outputs incorrect or risky information
A basic written policy would protect companies against employees’ independent introduction of potentially harmful AI tools
Track AI Usage in Your Company
If you do not know how and where AI tools are being used in your company, it will be impossible for you to manage AI risks.
MSMEs need to create a basic AI inventory, which would include information on what tool, its purpose, users/teams, type of data, and whether or not AI output influences any decision (financial, customer relations and so on).
Such inventory would also enable managers to detect duplicated tools and avoid unnecessary expenses.
According to the NIST AI Risk Management Framework, governance should be a continuous process throughout the whole AI lifecycle.
Put Data Controls in Place
AI technology relies on data significantly, and data governance plays a key role as an essential base for responsible use of AI technology.
MSMEs need to recognize sensitive information, which can be customers’ information, employees’ information, financial information, intellectual property rights, and confidential business documents.
Data access must be regulated based on employees’ responsibilities. Rules must be set regarding data preservation, data sharing, and data storage.
The OECD recognizes data ownership, data quality, security, and access control as important aspects of readiness of SME for AI use.
Keep Humans in the Decision Loop
AI can provide suggestions, predictions, and create content; however, companies need to decide when human approval should be sought for making decisions. For instance, the AI system could narrow down a list of job applicants, find risky transactions, or suggest actions for a client. It could be a part of the responsible process where an employee would have to validate the output before making an important decision.
These issues are addressed by the OECD AI Principles, focusing on the principles of human agency and oversight, transparency, robustness, security, and accountability.
Verify AI Outputs Before Relying On Them
AI-produced information may be inaccurate, outdated or misleading. In addition, it is especially true in cases where the use of AI technology is applied in financial analysis, legal documents, customer commitments, technical information or any other activities of high importance.
The MSMEs should set up verification processes for those outputs of particular importance.
Here is the rule to follow: the higher the business impact, the more intense the human review needed. In NIST’s Generative AI Profile it is recommended to identify, assess and manage the risks related to generative AI through its lifecycle.
Increase Security and Vendor Management
AI governance also includes AI providers used by the organization.
It is necessary to learn about data handling processes, security measures, the usage of information for training purposes and account and access management before using any AI platform.
MSMEs also need to regularly check their AI providers.
Train Staff
Governance policies are useless unless the staff understands them.
The staff must receive adequate training related to topics such as confidential information, misinformation generated by AI, phishing, copyright laws, rights to use tools, and requirement for human oversight.
Training does not have to be extremely technical. The goal of training is that the staff learns what they can do using AI and what they should not be doing.
Get Started Small and Keep Improving
MSMEs need not have a detailed framework for AI governance in place prior to trying out their first AI solution.
A possible structure for getting started includes the following:
- One AI policy
- One AI tool inventory
- Principles for handling data
- Approval process
- Human in the loop
- Training
- Risk/vendor assessment on a periodic basis
NIST’s AI RMF framework is built to be flexible and voluntary for organizations of different sizes and industries to manage risk using practices relevant to them.
With the use of artificial intelligence, there will be an increase in efficiency, reduction of the repetitive process, and efficient utilization of meagre resources by the small and medium enterprises. However, the deployment of artificial intelligence without putting proper governance will bring avoidable risks that are associated with data, security, accuracy, and accountability.
The idea is not to limit the growth of artificial intelligence but to regulate the growth of the technology.
This will be achieved through developing usage policies, securing business data, keeping human oversight, training staffs and tracking the tools of artificial intelligence.
FAQs About AI Governance for MSMEs
AI governance for MSMEs is a set of policies, processes, and responsibilities that help businesses use AI safely, responsibly, and effectively.
MSMEs need AI governance to manage risks related to data privacy, security, inaccurate outputs, accountability, and human oversight as AI usage grows.
An AI policy should define approved AI tools, permitted data, human approval requirements, responsible users, and actions to take when AI produces incorrect or risky information.
MSMEs can protect business data by controlling access, avoiding confidential information in unapproved tools, reviewing vendor security practices, and training employees on data privacy.
MSMEs can begin with one written AI policy, an AI tool inventory, basic data-handling rules, human review procedures, employee training, and periodic risk assessments.
