Could AI-Related Business Risks Be Missing From Your Current Risk Management Strategy?
AI is now being used for customer service, data analysis, content, recruitment, software development and everyday business tasks. But when AI is introduced without proper controls, it can create new business risks. Risk management consultancy services can help businesses identify where AI may affect privacy, security, compliance, employees and day-to-day operations before these issues become costly problems.
The important question is not simply whether your business uses AI. It is whether you know what could go wrong when your people, systems or suppliers use it.
How Can You Identify AI Risks Before They Affect Your Business?
AI-related risks can be easy to miss because they may not appear in a traditional risk register.
A business may already have controls for cybersecurity, workplace safety, financial risk and business continuity, but AI can introduce additional risks across several of these areas.
Common examples include:
Employees entering confidential information into public AI tools
Incorrect information being used to make business decisions
AI-generated content creating legal or reputational problems
Unapproved AI tools being used by staff
Sensitive customer information being processed without proper controls
AI systems producing biased or unreliable results
Employees relying too heavily on automated recommendations
Suppliers using AI without meeting your business requirements
The first step is to understand where AI is being used and what information it can access.
Could Employees Be Creating AI Risks Without Realising It?
Yes. One of the simplest risks can come from everyday employee use.
An employee might use an online AI tool to summarise a document, write an email or analyse information. If that document contains customer details, internal financial information or confidential business data, the business may have created a data protection issue without intending to.
What should businesses check?
Ask employees:
Which AI tools are they using?
What information are they entering?
Are those tools approved by the business?
Who can access the information?
Is the information stored or shared by the AI provider?
Do employees know what information must not be entered?
A clear AI use policy can help employees understand what they can and cannot do.
How Can You Control Sensitive Information Used With AI?
Information should be classified before employees use it with AI tools.
For example, a business could separate information into:
Public information: Information that is already available publicly and does not create a business risk when shared.
Internal information: Information intended for employees and approved business use.
Confidential information: Commercial, financial, customer or operational information that should have restricted access.
Highly sensitive information: Information that could cause significant harm if exposed or misused.
The more sensitive the information, the stronger the controls should be.
Businesses should also consider whether their existing data handling rules cover AI use or need to be updated.
Could AI Give Your Business the Wrong Answer?
Yes. AI systems can produce incorrect information that appears convincing.
This creates a particular risk when employees use AI output without checking it.
For example, an employee may ask an AI tool to summarise a workplace procedure. The response may leave out an important requirement or provide an incorrect interpretation. If the employee then uses that information in a workplace process, the original error can become a business risk.
This is why AI output should not automatically be treated as fact.
A simple control is human review
For important decisions, require a suitably qualified person to check AI-generated information before it is used.
This can be particularly important for:
Safety procedures
Legal documents
Financial decisions
Compliance information
Customer communications
Technical instructions
Risk assessments
How Can You Add AI Risks to Your Existing Risk Register?
You do not necessarily need a completely separate risk system.
AI-related risks can be assessed alongside your existing business risks.
A basic risk review can ask:
Risk | Possible impact | Existing control | Further action |
Confidential data entered into AI tools | Data exposure | Staff policy | Strengthen AI data rules |
Incorrect AI information | Poor business decision | Human review | Define review requirements |
Unapproved AI software | Security or compliance issue | Software controls | Add AI approval process |
Supplier AI use | Third-party risk | Supplier checks | Include AI requirements |
AI system failure | Operational disruption | Backup process | Review business continuity |
This makes AI part of normal risk management rather than treating it as a separate technology issue.
Could Third-Party AI Tools Create Risks for Your Business?
Yes. Your business may not directly operate an AI system, but your suppliers might.
For example, a software provider may introduce an AI feature into a platform your business already uses. That feature could process customer information or business data.
This means supplier risk assessments should consider more than cybersecurity and service availability.
Ask suppliers:
Does your service use AI?
What information does the AI process?
Where is that information stored?
Is customer data used to train AI models?
Can AI features be switched off?
How are AI-related incidents reported?
What controls are in place for access and security?
These questions can help identify risks before they become supplier-related incidents.
How Can You Manage AI Risks Without Slowing Down Your Business?
Risk controls should be practical enough for employees to follow.
A policy that is too complicated may simply be ignored.
Instead, businesses can establish a few clear rules:
Approve the AI tools employees can use.
Define information that must never be entered into public AI systems.
Require human review for high-risk decisions.
Keep a record of important AI use cases.
Review suppliers that provide AI-enabled services.
Train employees on safe AI use.
Review the controls as AI use changes.
The aim is to give employees clear boundaries rather than simply telling them not to use AI.
When Should You Review Your AI-Related Business Risks?
A review should not only happen when something goes wrong.
Consider reviewing your risk controls when:
Your business introduces a new AI tool
Employees begin using AI for new tasks
A supplier introduces an AI feature
You start processing new types of information
Your business changes its operating processes
A security or data incident occurs
Existing policies no longer reflect how employees work
AI use can change quickly, so your risk controls should be reviewed when the way you use the technology changes.
How Can Risk Management Consultancy Services Help With AI Risks?
Businesses do not always have the internal time or specialist knowledge to assess every new risk.
Risk management consultancy services can help by reviewing how AI is being used across the business and identifying gaps in existing controls.
Depending on the business, this may include:
Reviewing the current risk register
Identifying AI-related operational risks
Reviewing data and information risks
Assessing third-party risks
Reviewing existing policies and procedures
Identifying gaps in risk controls
Supporting risk assessments
Helping develop practical controls
Reviewing business continuity arrangements
Providing guidance and staff training
The exact approach should depend on how the business uses AI, what information it handles and the level of risk involved.
What Is the Biggest AI Risk Businesses Should Not Ignore?
The biggest problem may not be AI itself. It may be using AI without knowing where it is being used or what information is being shared with it.
An employee using AI for a simple task may seem harmless. But if that process involves confidential information, customer data or an important business decision, the risk can be much greater.
A useful starting point is to ask three simple questions:
Where is AI being used?
What information is being given to it?
What happens if the AI gives the wrong result or the information is exposed?
The answers can help identify where stronger controls are needed.
Final Thoughts: Is Your Risk Strategy Keeping Up With AI?
AI is becoming part of normal business operations, but the risks associated with it should not be treated as a technology issue alone.
Data protection, cybersecurity, operational continuity, supplier management, employee behaviour and decision-making can all be affected.
Regular risk reviews can help businesses understand these changes and put sensible controls in place.
If your business is already using AI or planning to introduce it, now is a good time to check whether your existing risk management approach covers these new risks.
HSEQ Logic provides HSEQ and risk-focused services for Australian businesses and can help organisations review and strengthen their approach to workplace and business risks.
Frequently Asked Questions
1. What are AI-related business risks?
AI-related business risks are problems that can result from using AI systems. They can include data exposure, incorrect information, cybersecurity issues, compliance problems, poor decisions and operational disruption.
2. Should AI risks be included in a business risk register?
Yes. If AI affects your people, information, systems, suppliers or operations, related risks
should be considered as part of your wider risk management process.
3. Can employees create AI risks without approval?
Yes. Employees may use unapproved AI tools or enter confidential information without understanding the possible consequences. Clear policies and staff training can reduce this risk.
4. How often should AI risks be reviewed?
AI risks should be reviewed when new AI tools are introduced, existing systems gain new AI features, business processes change or a relevant incident occurs. Regular risk reviews can also help keep controls current.
5. How can risk management consultancy services help with AI?
They can help businesses identify AI-related risks, review existing controls, assess suppliers, update risk registers and policies, and develop practical processes for safer AI use.
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