Most conversations about AI start with what it can do. Write an email. Answer a customer’s question. Help schedule an appointment.
Those are useful capabilities. But before a business puts AI into its daily operations, there’s another question worth asking: who built the technology, and who is responsible for how it works in your business?
The company developing the model, the platform delivering it, and the people configuring your workflows all make decisions that affect the experience your customers receive. Understanding those layers helps you choose tools with more confidence—and ask better questions before you rely on them.
There’s more than one builder behind an AI system
A customer may see one chat window, but several pieces can sit behind it.
The model developer builds the underlying AI. The software provider adds features such as conversations, calendars, or customer records. Then someone connects those features to your business information and decides what the system can do.
Each layer matters. A capable model can still give an unhelpful answer if it has outdated service information. A well-written response can still lead nowhere if the booking link is broken or the team never receives the inquiry.
For a business owner, evaluating the whole setup is more useful than choosing a tool based only on an impressive demonstration.
The decisions behind the technology reach your customers
How a model is developed and evaluated influences its capabilities and limitations. The way a platform handles information, permissions, and updates adds another layer of decisions. Your own configuration determines the context it receives and the actions it is allowed to take.
Imagine a customer asking a home-service company for a price. If every job needs an inspection, the assistant should explain that and help arrange the next step. It should not invent a quote just to keep the conversation moving.
That behavior needs to be designed and tested. It is not something to assume because the assistant sounds confident.
Reliability includes the services you depend on
AI tools depend on computing infrastructure and the companies operating it. Your business also depends on the software connecting that AI to your website, forms, calendar, and customer records.
Ask what happens if one of those services becomes unavailable. Can a customer still leave an inquiry? Can your staff see the conversation? Who handles the issue, and is there a way to continue manually?
You do not need to become an AI researcher to ask these questions. You need a clear picture of what your business depends on and what happens when something fails.
Five questions to ask before putting AI to work
1. What information will it use? Identify the approved business information it needs and who keeps that information current.
2. What can it actually do? Separate drafting an answer from sending a message, changing a record, or booking an appointment. Set limits for each action.
3. How is customer information handled? Review the provider’s data practices, access controls, retention settings, and available agreements before sharing sensitive information.
4. When does a person step in? Decide how the system handles an uncertain answer, an unhappy customer, or a request outside its scope. Assign someone to receive that handoff.
5. How will we know it is working? Test realistic scenarios and review accuracy, completed handoffs, and customer outcomes. Recheck the process when important settings or services change.
This approach is consistent with NIST’s voluntary AI Risk Management Framework, which addresses trustworthiness across the design, development, use, and evaluation of AI systems. Its supporting guidance emphasizes defined responsibilities, testing, and ongoing monitoring. Explore NIST’s framework and its core guidance.
Build around the way your business works
At AI Strategies, our focus is connecting websites, customer communication, and follow-up processes around the needs of the business using them.
That starts with practical questions. Where do inquiries arrive? What does your team need to know? Which questions can be answered from approved information? When should a person take over?
The people building and configuring an AI system help shape what it becomes. Your business should have a voice in those decisions, too.
If you are considering AI for your business, start with one process you would like to improve. Talk with AI Strategies about your next step.
Related reading: How AI Helps Small Businesses Follow Up Without Losing the Personal Touch.