How to Use AI without Putting Customer Data at Risk

If you want to use AI without putting customer data at risk, you must understand the NDPA, filter out customer information and use only permissible data in your AI prompt. But how many Nigerian business owners are actually doing this?

For some small business owners, whenever they have too many un-replied emails or WhatsApp messages, the first instinct is to upload the messages into ChatGPT, Claude or Gemini because these tools can classify and automate replies.

But those messages may also contain customers’ names, phone numbers, addresses, payment details etc., which may put a business at legal risk if they are uploaded without a scrutiny. And that small distinction matters.

Granted, AI can save entrepreneurs hours of repetitive work, yet careless uploads can create privacy breaches, security and legal problems.

But the sensible response is not to avoid AI. It is to decide what the tool truly needs, and in this guide, we’ll be walking you through how to use AI without putting customer data at risk.

Know which information should stay out of an AI chat

Personal data is not limited to passports and bank statements. A name, phone number, delivery address or order history may identify a person on its own or when combined with other details. Removing a name from a spreadsheet does not automatically make the rest anonymous.

Imagine a recruitment firm using a free AI tool to identify the skills appearing most often in CVs. That firm may need qualifications and work experience; but in most cases, it does not need applicants’ photographs, home addresses or telephone numbers.

The same applies to retailers, clinics, accountants and service businesses.

What to Ask Before Uploading Customer Data to AI tools

If you want to use AI without putting customer data at risk, before sharing anything, ask: Could the AI complete this task without knowing who the customer is?

If yes, create a working copy with unnecessary identifiers removed. Keep the original records inside the business’s approved systems.

Some data requires particular care. Information like passwords, one-time codes, identity documents, bank-card details, confidential contracts and medical records. TechView Africa’s guide to information you should never casually upload to an AI tool sets out these higher-risk categories and practical redaction habits.

Understand the Relevant Data Protection Rules

The Nigeria Data Protection Act 2023 (NDPA) applies to the processing of personal data within its statutory scope.

Small businesses are not automatically exempt simply because they lack a compliance department. The Nigeria Data Protection Commission (NDPC) is the regulator responsible for administering the Act.

Section 24 of the NDPA sets out core principles, including fair and lawful processing, purpose limitation and data minimization.

In ordinary language, a business should know why it is using customer information so it can avoid processing more of it than necessary.

Section 25 addresses lawful bases for data processing. Consent is one possible basis, but it is not the only one. The appropriate basis depends on the circumstances.

For example, receiving a customer’s address to deliver an order does not automatically justify sending the same address to an unrelated AI service for marketing experiments.

The new use needs its own assessment of purpose, lawful basis and applicable safeguards.

How to Spot Unnecessary Reuse of Personal Data

A practical way to spot unnecessary reuse is to compare the promise made to the customer with the proposed AI task. Find out, did the customer provide the information for delivery, billing or support? Will the new tool use it for the same purpose?

If the answers differ, you should not rely on the originally granted permissions alone as permission to proceed. Try and confirm that your privacy notice accurately describes relevant processing and the extent a single permission covers.

The NDPC’s General Application and Implementation Directive 2025 gives further implementation guidance.

For a busy founder, a practical first step is a one-page record of what customer data is collected, why it is needed, which services receive it and when it should be deleted.

Now, international tools are not automatically prohibited however, the NDPA’s cross-border transfer provisions in Sections 41–43 provides that businesses must consider the applicable safeguards when personal data is processed abroad.

And where an outside company acts as a data processor, Section 29 addresses relevant obligations, including written agreements. The legal position depends on the actual service and relationship, not just its advertising claims.

Prepare a safer version of the Data before Asking AI

Again, suppose you’re a fashion retailer and you want to analyze 100 customer complaints. Instead of uploading the raw WhatsApp export, you can place the relevant complaint text into a separate sheet and give each entry a reference number.

A raw entry might read: “Ada N., 12 XYZ Road, Ikeja, called 0800-000-0000 because her order came three days late.”

A version with reference number could be: “Case 014: delivery arrived three days after the promised date.” The second tells the assistant what went wrong without volunteering contact information.

This is data minimization, not a guarantee of anonymity. Unusual circumstances and details in other records can still identify a person.

Review each extract for hidden identifiers, and confirm that the proposed processing is lawful before sending it to an AI assistant.

Ask the assistant to group complaints by problem and return the case reference supporting every finding. Then check a sample yourself. This guide to analyzing customer feedback with AI explains how to avoid such misleading conclusions and turn verified patterns into action.

Three Questions to ask Before You Upload

• Does the AI need real names or contact details?
• Is this particular tool approved for the information?
• Can a staff member check the output before it is used?

This question will guide you on what should be uploaded and what shouldn’t.

Check the tool, not merely the promise on its homepage

AI products that look alike may process information differently. Consumer and business accounts can have different settings, contracts, retention practices and controls.

Some AI platforms may use disclaimers like “Not used for training” but that doesn’t always mean uploaded document is never processed or temporarily stored.

For entrepreneurs trying to use AI without putting customer data at risk, before your business connects an AI service to email, cloud storage or customer records, find out what the service can read, whether that access continues after the task, who may receive the information and how the connection can be revoked.

A tool needed to draft a reply should not automatically have permission to delete files or issue refunds. Start with the narrowest access that still allows the task to be completed. If possible, test with public or synthetic examples first.

Again, to use AI without putting customer data at risk, check the small print at the moment of purchase and again before changing settings. Find out whether the product permits administrators to restrict sharing, control retention or turn off unnecessary integrations.

If the terms are unclear, ask the provider in writing before using identifiable customer records. A familiar brand name is not a substitute for reading the terms of the specific plan and feature being used.

That caution complements the practical tool-selection advice in the Victor Winner’s guide to AI tools for small-business owners, a founder does not need every subscription or integration. One well-understood tool is often more useful than a collection of poorly supervised ones.

Setup workable AI usage Policies and keep people in charge

A one-page workplace rule can prevent more trouble than a long policy nobody reads.

Create a workable document that specifies which tools employees may use, which categories of information cannot be uploaded and who approves new integrations. Tell staff how to report an accidental disclosure quickly and without hiding it.

For example, marketing staff may generate draft captions from public product information. Customer-service staff may polish general replies, but should not paste an entire conversation containing customer details into an unapproved chatbot.

Nobody should ask an AI tool to handle passwords, payment authorizations or confidential client documents unless appropriate systems and safeguards have been established.

Remember that AI can be confidently wrong. A chatbot might invent a refund exception or misstate a product warranty. Staff should always review messages that make promises, affect money or could materially mislead a customer.

Keep the review manageable. Tell employees to flag doubtful answers, check sensitive customer replies against the approved policy and stop a workflow if a tool unexpectedly requests additional access.

The person responsible for AI does not need to be a full-time specialist, but someone must have authority to withdraw an unsafe tool or pause an AI integration.

For a broader AI governance model, the US National Institute of Standards and Technology’s AI Risk Management Framework offers four voluntary functions viz: Govern, Map, Measure and Manage.

In a small firm, that can mean assigning an owner, listing the uses of AI, identifying what might go wrong and reviewing the safeguards.

Recognize when basic Precautions are not enough

As a business trying to use AI without putting customer data at risk, you must recognize when there is a need to take extra measures to protect customer data.

For example, a shop using AI to improve product descriptions is in a different position from a clinic analyzing identifiable health records or a recruiter using automated scoring to screen applicants.

Higher-risk activities deserve greater scrutiny, including possible effects on individuals and whether decisions can be challenged or reviewed.

Under Section 28 of the NDPA, a data privacy impact assessment is required before processing data that is likely to create a high risk to individuals’ rights and freedoms.

Businesses considering sensitive-data analysis, significant profiling or consequential automated decisions should assess their legal obligations and obtain professional advice when needed.

Incidents also need a plan. If an employee uploads the wrong file or an integration exposes information, identify what happened, restrict access where possible, preserve evidence and evaluate the risk promptly.

Section 40(2) requires a controller to notify the NDPC within 72 hours of becoming aware of a breach likely to put individuals’ rights and freedoms at risk.

Section 40(3) of the NDPA requires immediate communication to affected individuals in high-risk cases, subject to the Act’s provisions.

Not every technical mistake meets those thresholds, but it should still be investigated where that is necessary.

Final Words

Start small, then expand with evidence.

A useful first AI project might involve drafting descriptions from public product information, building a general FAQ or classifying a small set of properly prepared customer comments.

Record which tool was used, what information it received, who checked the result and whether it genuinely saved time or improved service.

The technology is not the goal. Better business decisions and more reliable customer services are.

It is true that AI can help Nigerian entrepreneurs and as a responsible business owner, following the steps in this guide, you can use AI without putting customer data at risk. And you can also reach the Victor Winners team here if you need further support.

Now, it’s over to you. What are your major concerns when it comes to applying AI in small business operations without putting customer data at risk? Drop your comments below.

About the author

God’sPower Samson writes on technology, cybersecurity, digital privacy and technology policy for TechView Africa. His background in law and cybersecurity informs his coverage of how emerging technology affects African businesses and consumers.