For a Champaign-Urbana business owner, a useful first AI project can begin with the questions customers ask every day: what a service includes, how to request an estimate and which policy applies.

An assistant that drafts answers from approved business information may reduce repeated writing while leaving staff responsible for the final reply.

The sensible starting point is a limited pilot, with a clear way to tell whether it helps.

Choose one recurring type of inquiry

Start with service information or appointment-request instructions, rather than letting an assistant handle every message in an inbox.

Collect a small set of recent questions, remove identifying details and write the answer a trained employee would approve.

Include ordinary questions, ambiguous requests and questions that cannot be answered from the material you provide.

This gives the business a reference against which to judge each draft, rather than relying on whether the wording sounds polished.

Give the assistant an approved reference

Prepare a short source library containing current hours, service descriptions, coverage areas, booking instructions and written policies.

Assign an owner and a review date to each item, and remove superseded versions.

The NIST NCCoE chatbot project provides a technical example of an internal assistant that retrieves information from a defined publication collection before generating a response.

Its public development report remains an initial draft under review, and the project concerns cybersecurity publications rather than a ready-made business customer service product.

The transferable idea is to connect a question with relevant reference material before writing the answer.

For a business, ask the system to show staff which approved document supports a draft.

A service inquiry, step by step

Consider an illustrative local repair business receiving a request about weekend appointments and the likely cost of a job.

If the approved information contains booking instructions but no confirmed weekend availability or job-specific quote, the draft should provide the instructions and flag the missing details for staff.

It should not invent a price, promise a time slot or imply that an appointment has been booked.

An employee can then check the calendar, clarify the work requested and send the reply.

This example describes a possible workflow, not a claim about any named local company's current operations.

Keep review and escalation visible

Photo by Kampus Production on Pexels. Illustrative stock photo; not a photograph of NuWay staff, its software or a customer implementation.

During the pilot, have an employee approve every outgoing response.

Route disputes, unusual requests and exceptions to a person, with a clear contact option for customers.

An answer based on a reference can still be incomplete or wrong, so a source link alone is not proof of accuracy.

NIST's Generative AI Profile is a voluntary resource for evaluating risks across the use of generative AI systems.

Use it to inform the questions you ask a supplier about testing, access, data handling and ongoing oversight.

A fluent reply can still contain an unsupported claim, which is why review should examine the facts as well as the tone.

Measure the work, including corrections

Track time spent preparing and reviewing replies, the number requiring factual correction and requests that needed a human answer.

Compare the pilot with the business's existing process over a defined period, using similar question types.

Count the time needed to maintain the source library and resolve errors as part of the workload.

If drafts frequently need rewriting, narrow the task or revise the source material before expanding use.

NIST's AI Risk Management Framework Playbook offers optional actions organized around governing, mapping, measuring and managing risk.

It is a reference to adapt to the use case, not a guarantee that any particular assistant is ready for customers.

Prepare for a practical discussion with NuWay

Bring a short list of recurring questions, approved answers and the steps employees currently take to reply.

Ask about implementation cost, who maintains information, what data the system keeps and how staff review and stop it.

Start with public business information, and agree on access and retention rules before introducing private customer records.

Require evidence from your own pilot before expecting savings, since results depend on the task, the information and the review process.

For further discussion about how AI might fit your business, contact NuWay at nuedcorp@gmail.com.

Describe one repeated task and the outcome you want, so the conversation begins with a concrete business need.