Sales calls it an account. Delivery calls it a client. The billing system calls it a customer. You ask AI to tidy the terminology, and it quietly treats all three as the same thing.
Use AI to prepare a business glossary by collecting terms, source definitions and examples before standardising wording. The tool can propose a comparison. The people responsible for the work must decide whether different words are aliases or represent different concepts.
Photo by Waldemar Brandt on Unsplash.
Start with one area of work
Choose a bounded process, such as enquiry-to-onboarding. A glossary for the whole business can become an abstract exercise before it helps anyone complete a task.
Gather the approved documents used in that process. Include field definitions where they exist. Ask staff which words cause misunderstandings at handoffs and where the consequences appear.
Do not begin by requesting industry-standard definitions. Your business may use a term differently for a practical reason. Record that difference before deciding whether to change it.
Create a term card
For each term, capture:
Exact wording and any abbreviation.
Definition in the approved source, if present.
Source location, version and responsible owner.
An example of something included.
A similar thing deliberately excluded.
Related words that may be confused with it.
Ask the assistant to mark missing definitions as missing. A polished sentence generated to fill a blank is a proposal, not an approved business rule.
Distinguish synonyms from different states
In an illustrative service business, prospect may mean an organisation considering a service, while client means one with an accepted agreement. Replacing both with customer would remove a useful distinction.
Conversely, two teams may use different labels for exactly the same status. In that case, an approved alias can help people find the right information without forcing every historical document to change immediately.
Use examples to settle the question. Ask whether the same real case would receive both labels at the same point in the process. If not, the difference needs explanation rather than automatic merging.
Resolve conflicts with an owner
Present competing definitions side by side with their sources. Ask the process owner to decide which governs, whether both apply in different contexts or whether a rule still needs agreement.
Keep that decision visible. A glossary should not acquire authority merely because it is the newest document or has the clearest writing.
Do not let the exercise silently change calculations, system fields or client commitments. Those changes need their own impact review.
Make the glossary usable
Publish the agreed term with its plain-language meaning, an example and a source reference in the team's approved location. Add the words people actually search for as aliases where appropriate.
Use it when preparing briefs, instructions and AI task context. Review the relevant entries when the underlying process changes. The aim is fewer misunderstandings, not a separate vocabulary that staff must memorise before doing their work.
For related practical guidance, see agreeing metric definitions and identifying authoritative business information.
Hili Consulting can help build a source-owned business glossary without changing agreed meanings. Arrange a free 30-minute consultation and bring one example of the work you want to improve.
