Drafting knowledge base articles with AI from real client questions
Turn a resolved client request into a polished knowledge base draft. Build a self-serve library that quietly cuts repeat questions over time.
Every accounting practice answers the same questions over and over. How do I upload my bank statements? When is my BAS due? What do you need from me before we lodge? Each answer is useful, well written and sitting in a single resolved work item that no one will ever read again. That is a knowledge problem hiding in plain sight, and AI knowledge base drafting is built to solve it.
Finye lets you take a request your team has already resolved and turn it into a reusable knowledge base draft in seconds. Your staff refine the draft, publish it, and the next client who asks finds the answer themselves. Over a financial year, that quietly removes a meaningful slice of repeat questions from your inbox.
The hidden cost of answering the same question twice
In a busy practice, institutional knowledge lives in people's heads and in the long tail of resolved tickets. A senior bookkeeper writes a clear, careful explanation of how Single Touch Payroll finalisation works, the client says thanks, and the work item closes. Three weeks later a different client asks the same thing, and someone writes it again from scratch.
The cost is not just time. It is inconsistency. Two staff answering the same GST coding question in slightly different ways creates confusion and, occasionally, risk. A knowledge base fixes this by capturing the best version of an answer once. The hard part has always been finding the time to write articles, which is exactly the friction AI removes.
From a resolved request to a publishable draft
Finye's work items are where client questions land. A request comes in by email or through the client portal, your team works it on a board, adds comments and attachments, and resolves it. That resolved thread already contains everything a good knowledge base article needs: the question in the client's own words, the answer your staff gave, and any clarifying back-and-forth.
With AI knowledge base drafting, you point Finye at that resolved request and it produces a structured article draft. The AI reads the conversation and reshapes it into a clean format: a clear title, a short summary, step-by-step instructions where relevant, and headings that make the answer scannable. It strips out the client-specific details so the result reads as general guidance rather than a one-off reply.
The draft is not published automatically, and that is deliberate. It lands in your knowledge base as a draft for a staff member to review. They tidy the wording, confirm the advice is current, add a screenshot if it helps, and publish. The AI does the heavy lifting of turning a conversation into prose; your team keeps editorial control over what goes live.
Why human review still matters
Accounting advice has to be right, and rules change. ATO thresholds shift, lodgment programs update, and what was true last financial year may not be true this one. AI knowledge base drafting is a productivity tool, not a substitute for professional judgement, so Finye keeps a human in the loop by design.
The practical workflow looks like this:
- Generate a draft from a resolved work item with a single action.
- Review the draft for accuracy, tone and anything client-specific that should be removed.
- Refine the structure, add internal links to related articles, and check that any dates or thresholds are current.
- Publish when a qualified staff member is happy with it.
Because AI features in Finye run on a metered credit wallet, you only spend credits when you actually generate a draft. There is no background process quietly burning through your balance, and you can see exactly what each piece of AI assistance costs.
Building a library that compounds
One article saves a little time. A library saves a lot. The value of a knowledge base compounds because every published answer is one you never have to write again, and the most common questions are the ones you resolve most often, which means they are the easiest to harvest into articles.
A sensible way to build the library is to start with your highest-volume questions. Look at the requests your team handles repeatedly across the quarter: how to grant accountant access in Xero, what documents you need for an individual tax return, how to read an invoice and pay it through the portal, when quarterly BAS falls due. Each of those resolved requests becomes a draft, and within a few weeks you have a self-serve resource that answers the bulk of routine queries without a single email.
The knowledge base also strengthens the rest of Finye. Articles can sit alongside your client-facing guidance and reduce the volume of inbound work items in the first place. Fewer repeat questions means your team spends more time on the work that actually needs an accountant, and less on copy-pasting answers they have already written.
Where it fits in your AI toolkit
AI knowledge base drafting is one of several AI features in Finye that share the same philosophy: assist the practitioner, keep them in control, and meter usage transparently. AI triage suggests a priority, assignee and category for incoming requests. AI summary condenses a long ticket thread into a few lines. AI reply helps draft a response. AI draft turns a one-line brief into a structured work item.
Knowledge base drafting closes the loop. The questions that come in through triage and get answered with AI assistance can then feed back into a growing library, so each resolved request makes the next one faster to handle. It is a flywheel: better answers, captured once, available to clients and staff for as long as they stay accurate.
If your practice is answering the same questions every week, that effort is worth capturing. Turn your resolved requests into a knowledge base that works while you sleep, and give your clients answers before they need to ask. Start with Finye and build your self-serve library from the requests you have already resolved, or see how the plans and AI credits work before you commit.