The SBE Council’s 2026 Small Business Tech Use Survey found that 82 percent of small business employers had invested in AI tools and sixty-eight percent used them regularly. The median company ran five tools across daily operations, including content creation, customer support, marketing, administration, and data management.
Seventy-seven percent had no written AI policy. That gives teams a concrete starting point: record what data may enter those tools, who reviews the outputs, and how the business decides what to keep.
Review the tools already in use
Consider an illustrative business using ChatGPT for customer emails, Jasper for blog posts, a scheduling assistant, an AI-powered CRM feature, and Grammarly. Five tools can serve distinct jobs, duplicate functions, or create rework. The count does not tell the owner which is happening.
For each tool, record its assignment and cost. Ask the people using it where it saves effort and where someone corrects the output downstream. Compare those observations with the existing process and any overlapping tools. Keep the review specific enough to support a decision about renewal or removal.
For a bounded test, choose one workflow and measure it for 60 to 90 days. Document the output standard and include review time in the result. Use the results to decide whether the workflow warrants further investment.
Treat simplicity as work to specify
On July 7, Accenture launched Accenture Edge with Google Cloud, offering pre-built agents to mid-market companies with revenues between $300 million and $3 billion. The suite spans six functional areas with integration support. The $65 billion consulting firm’s offer packages some implementation work for the buyer; it leaves the buyer responsible for deciding what the agents should do.
A small business can apply the same scrutiny to tools it already owns. Decide who maintains the workflow, which actions need approval, and what evidence would justify expanding it. A simpler interface still needs those operating decisions.
Write rules people can apply
Set explicit boundaries on proprietary information in consumer AI tools. Define review before AI-generated material reaches a client, and coordinate tool purchases so that teams can see overlapping contracts and data stores.
A policy can begin on one page, with enough detail for the actual risk. A 40-page document may be appropriate for more demanding work. Length alone tells you little about whether staff understand the rules or whether the systems enforce them.
Start with the tool used most often. Specify its job, choose a result to measure, and name the person responsible for reviewing it after ninety days. Use the evidence to decide whether to keep, change, or stop that workflow before adding another tool.