Start with the use case, not the tool
An AI assistant can help draft material, summarize internal information or support routine questions. Those uses can look similar at first, but their risks can differ substantially once the assistant receives business information, connects to systems or influences a decision.
A useful starting point is to review the proposed use case before broad access is granted. The goal is not to decide whether “AI” is approved in the abstract. It is to understand one specific combination of tool, information, permissions and workflow.
For each proposed use, ask:
- What business problem is this meant to solve?
- What information would the assistant receive?
- What systems, if any, could it access?
- Could it create, send, change or trigger anything?
- Who is accountable for the outcome?
- What happens if its output is wrong, unavailable or exposed to the wrong person?
These questions are adaptable considerations, not a universal compliance checklist. A drafting use involving public information may call for a lighter review than a workflow involving customer records, financial information or business-critical actions.
Review access and permissions
The assistant does not necessarily need the same access as the employee who uses it. Define what it may read, create, change or send for the stated purpose.
Useful controls to consider include:
- Individual accounts instead of shared credentials.
- Permissions limited to the stated use case.
- Separate handling for sensitive records and administrative functions.
- A named person who approves access.
- A recurring check for access that is no longer needed.
The distinction between providing information and taking action is important. An assistant that drafts text for an employee to review presents a different operational question from one that can update records, send messages or initiate a transaction.
For a small team, an access record can be simple. It might list the assistant, approved users, connected systems, allowed actions, accountable owner and next review date. The purpose is visibility: people should be able to see what the assistant is allowed to do and who can change that permission.
Set clear information boundaries
Employees need a practical answer to a basic question: what may be entered into the assistant?
One adaptable approach is to organize information into three categories:
- Allowed: public information and low-risk internal material approved for the use case.
- Restricted: business, customer, employee, financial or operational information that requires a defined business purpose and approval.
- Not permitted without specific approval: passwords, authentication secrets, highly sensitive personal information, and information subject to contractual or other restrictions.
The categories should reflect the business’s own circumstances. A company may have client commitments, internal confidentiality expectations or other obligations that affect what can be shared with a service.
It is also useful to understand the service terms that apply to submitted information. Relevant questions may include how information is retained, whether it can be deleted, who can access it, and whether service settings change the treatment of business content.
Clear boundaries reduce the chance that an informal experiment becomes a routine pathway for sensitive material.
Review the service in context
A vendor review does not have to resemble a large procurement process. It should be sufficient for the proposed use and its potential impact.
Before connecting an assistant to business systems, document questions such as:
- What information will the service receive?
- Which systems can it access?
- What actions can it perform?
- How are users and administrators authenticated?
- How can access be removed?
- What do the applicable service terms say about retention, incidents and changes?
- Can the business retrieve important information if the service is unavailable or no longer suitable?
A recognizable brand is not, by itself, an answer to these questions. The relevant review concerns the specific configuration, permissions, data flow and business process under consideration.
The review can be proportionate. A tool used to polish public-facing draft copy may warrant a narrower record than a tool connected to a customer database or an internal knowledge repository.
Plan for service failure and recovery
An assistant can become embedded in a workflow faster than expected. Consider what would happen if the service were unavailable, an account were inaccessible or output could not be relied upon for a period of time.
A practical recovery discussion can cover:
- Which business records must remain available?
- Where are recoverable copies maintained?
- Who can restore access or coordinate a response?
- What is the manual fallback for a critical task?
- How will the business determine whether restored information is complete and usable?
The aim is continuity, not perfection. If an assistant supports a nonessential drafting task, the fallback may be straightforward. If it supports a process that affects customers, payments or operations, the business may need a more deliberate alternative path.
A recovery plan is more credible when the team has considered how it would work in practice. Periodically walking through an important fallback can reveal unclear ownership, missing records or dependencies that were not visible during initial setup.
Define meaningful human review
An assistant can produce persuasive output without having the full context, authority or accountability required for a final decision. Define the situations in which a responsible person reviews the result, makes the decision or takes over the workflow.
Examples that may call for heightened human attention include:
- Customer complaints or disputed charges.
- Financial commitments or payment-related actions.
- Employment, legal or regulatory questions.
- Security concerns or suspected information exposure.
- Communications that could materially affect a customer, employee or supplier.
- Outputs that cannot be adequately checked by the responsible employee.
The right escalation path depends on the business. What matters is that employees know who is responsible, what they should review and how to raise a concern.
Human oversight works best as part of the workflow rather than as a general statement in a policy. A review point should be visible before a consequential action is finalized.
Use a short decision record
A short record can make repeatable oversight practical. For each new use case, capture:
- Purpose: The business problem the assistant is intended to address.
- Information: What it may receive and what remains out of scope.
- Permissions: What it can read, write, send or trigger.
- Accountability: Who approves the use and handles exceptions or escalation.
- Continuity: How essential work proceeds if the service is unavailable or unreliable.
- Review date: When the business will reassess access, terms and the continuing fit of the use case.
This record does not remove judgment. It makes the judgment visible and easier to revisit as a use changes.
The practical takeaway
Small businesses do not need to treat every AI assistant in the same way. They can begin with a focused review of the proposed use: access, information boundaries, service dependencies, recovery and human accountability.
The most useful next step is often to select one use case and document what the assistant can access, what it is expected to do, where a person remains responsible and how work continues without it. That approach supports experimentation while making business decisions more deliberate.