Part 4 of the RemarkableTek series: AI for Your Business
By now you have a list. In Part 3 you gathered up the AI tools your team is actually using, sanctioned or not. This post is about doing something useful with that list: separating the tools that belong in your business from the ones that do not, and learning how to vet a new tool before you trust it with your data.
The core idea is simple. Most AI tools come in two flavors — a consumer version and a business version — and the difference between them is not the features. It is what happens to your data.
Consumer tier vs. business tier
The free or low-cost personal version of an AI tool is built for an individual. It is designed to be easy to sign up for and easy to use. What it is not designed for is protecting one business’s data from becoming part of the vendor’s product.
The business or enterprise tier of the same tool is usually a different product underneath. It typically includes a written commitment that your data will not be used to train the vendor’s models, administrative controls so an owner can manage who has access, the ability to remove a departing employee’s account centrally, and a formal agreement that assigns responsibility for data handling. For a regulated business, that agreement is often the difference between compliant and not.
The practical takeaway: the same tool can be unsafe on the free plan and perfectly appropriate on the business plan. When you find a useful tool on your shadow-AI list, the question is rarely “ban it or keep it.” It is usually “move it to the business tier and configure it properly.”
The five-question vendor check
Before you adopt any AI tool — or approve one already in use — run it through these five questions. None requires a technical background.
1. What happens to the data we put in? Look for a clear statement that your inputs are not used to train the vendor’s models. If you cannot find one, assume the worst.
2. Is there a business or enterprise plan, and what does it add? If the answer is “no business plan exists,” that tells you the product was not built with business data protection in mind. Be cautious.
3. Can an administrator control accounts? You need to be able to see who has access and remove people when they leave. A tool where every employee has a separate, invisible personal login is an offboarding problem waiting to happen.
4. Where is the company, and what is its track record? A tool from an established vendor with a real privacy policy and a support channel is a safer bet than an anonymous app that appeared six weeks ago. This matters more than it sounds — AI tools often depend on other vendors’ models behind the scenes, and a weak link anywhere in that chain is your exposure.
5. Does it meet the rules our business has to follow? If you handle health information, financial data, or anything covered by industry regulation, the tool needs to support those obligations in writing. This is the question most worth getting help with.
Build an approved toolkit, not a ban list
The goal of this exercise is not a list of forbidden apps. It is a short, clear list of approved tools — the ones your team should use, on the right plans, configured correctly. An approved toolkit is what makes the “use this instead” answer from Part 3 possible. It removes the reason for shadow AI by giving people good options through the front door.
Keep the toolkit small at first. A general-purpose assistant on a business plan and one or two embedded or industry tools is plenty to start. You can always add more once something is proven.
A word on cost
The sticker price of an AI subscription is not the real cost. Business tiers cost more than consumer tiers — that is the price of the protections above, and it is worth paying. There is also the cost of the time it takes to set tools up properly, train your team, and review how they are working. Budget for the whole thing, not just the monthly fee. A tool adopted properly and used by a confident team returns far more than one bought cheaply and used nervously.
What to do this week
Take your shadow-AI list and sort each tool into one of three buckets: approve as-is, approve after moving to a business plan, or replace. For anything you are unsure about — especially anything touching regulated data — flag it for a second opinion before you commit.
In Part 5, we turn your approved toolkit into something enforceable: a simple AI acceptable-use policy your team can actually follow.
Not sure if a tool is safe to trust with your data?
The five-question check is a strong start — but the fifth question, whether a tool meets the rules your business has to follow, is where a mistake gets expensive. RemarkableTek can vet your AI tools and vendors against your industry’s requirements, so you adopt with confidence instead of crossed fingers.
Get in touch with RemarkableTek:
- Contact us: remarkabletek.com/contact-us
- Call: 1-602-726-8366
This series is educational; for guidance specific to your business, contact RemarkableTek.