---
title: "How Small Businesses in Detroit Can Audit AI Tools Before Using Customer Data"
url: https://www.heredetroitmi.com/2026/06/19/how-small-businesses-detroit-can-audit/
date: 2026-06-19T14:55:00+00:00
modified: 2026-06-19T14:55:00+00:00
author: "Wynton Ross-Mercer"
categories: ["Technology"]
site: "HERE Detroit"
attribution: "HERE Detroit"
---

# How Small Businesses in Detroit Can Audit AI Tools Before Using Customer Data

*Source: [HERE Detroit](https://www.heredetroitmi.com/2026/06/19/how-small-businesses-detroit-can-audit/) — June 19, 2026 by Wynton Ross-Mercer*

In an era where artificial intelligence (AI) is rapidly transforming how businesses operate, small enterprises in Detroit are increasingly adopting these technologies to enhance efficiency and customer service. However, the integration of AI tools comes with significant responsibilities, particularly regarding the handling of sensitive customer data. To navigate this landscape safely, businesses must implement a robust auditing process for the AI tools they utilize.

The first step in this auditing process is to inventory every AI tool that employees use before incorporating any customer or financial data. This inventory should include applications for customer service, data analysis, and marketing automation, among others. By knowing exactly what tools are in use, businesses can better assess the risks associated with each one.

Next, it’s crucial to establish distinct approval paths for different types of information. Public prompts, internal drafts, and sensitive regulated information should be separated to prevent unauthorized access and ensure compliance with data protection regulations. This segregation helps mitigate risks associated with data breaches and misuse.

Additionally, documenting vendor terms, data-retention settings, and human-review duties is essential before deploying any AI tool. Understanding the terms of service and data management policies of AI vendors can help businesses avoid potential pitfalls related to data ownership and liability. For instance, if a vendor retains customer data beyond the agreed period, it could expose the business to legal risks.

As the AI landscape evolves, so too does the need for ongoing oversight. Small businesses should establish regular review processes to assess the effectiveness of their AI tools and ensure they remain compliant with changing regulations. This proactive approach not only safeguards customer data but also builds trust with clients who are increasingly concerned about how their information is handled.

In Detroit, where small businesses form the backbone of the economy, adopting these practices is not just about compliance; it’s about fostering a culture of responsibility and transparency. By taking the necessary steps to audit AI tools, businesses can leverage technology while protecting their most valuable asset—their customers’ trust.