Who GuideOnce trains, and what each one walks away with.
GuideOnce trains four groups: owners of bookkeeping and accounting firms, bookkeepers and accountants employed at a firm, in-house accounting teams learning together, and business owners who keep their own books. Everyone starts in the same place, which is knowing what never goes into an AI tool and why.
What GuideOnce does not do is teach bookkeeping from scratch. Every program assumes you already know a debit from a credit. If you do not yet, that is worth saying out loud rather than finding out in week two.
Find the one that sounds like your week.
The programs are the same in structure and different in emphasis. What changes is whose problem we start with.
Should a small bookkeeping firm invest in AI training?
You leave able to say which AI tools your firm uses, which it will not touch, and what you tell a client who asks where their data went.
You are running a practice of two to twenty people and the pressure is coming from both directions. Clients have read about AI bookkeeping and want faster turnarounds. Staff are already pasting client data into ChatGPT because nobody told them not to. And every vendor demo you sit through is selling you a tool before anyone has asked what your firm actually does with it.
The first thing worth having is not a tool. It is a written rule about what leaves your systems, so you can adopt anything after that without wondering whether you just created a problem you will hear about in a year.
- A data rule your whole firm can follow, written in a morning
- A way to judge an AI bookkeeping tool without a trial period
- One automation running on your own work, not a plan to build one
- Language for the client conversation, before a client starts it
Should you learn AI if you do not own the firm?
You leave with the one skill a firm cannot automate away, and the vocabulary to say so at your next review.
Here is the part nobody says kindly enough. The work that used to turn a junior into a senior, the coding, the matching, the tidying, is the work getting automated first. You were going to learn judgment by doing ten thousand small reps, and the reps are disappearing.
The skill that still pays is knowing when a number is wrong even though it looks right. That used to arrive by accident, after enough years. It can be learned on purpose instead, and learning it on purpose is faster.
- How to review AI output instead of trusting it or ignoring it
- What is safe to put into a tool your employer has not approved
- Hands-on work in Xero and QuickBooks Online, not slideware
- A case you can take to a manager for the firm to pay for it
How do you train an accounting team on AI without stalling the close?
Your team leaves with one shared rule about what goes into an AI tool, instead of five people quietly deciding on their own.
If you manage an accounting team, the AI adoption question has already been answered without you. Somebody on your team is pasting a vendor statement into a chatbot to get it summarised. That is shadow AI, which is what it is called when tools get used without anyone approving them, and it is not a discipline problem. It is what happens when people have a deadline and no guidance.
Training the team together fixes the guidance gap in one pass. It also surfaces what they are already doing, which is usually the more useful outcome.
- One standard for client and company data, agreed in the room
- An honest picture of what your team already uses
- Sessions of five to sixty minutes, scheduled around your close
- Every session recorded, so nobody has to miss it to hit a deadline
Can a business owner use AI to do their own bookkeeping?
Partly, and the part that matters is the review. You leave able to read your own numbers and tell when the software got it wrong.
AI categorisation in Xero and QuickBooks Online is good enough now that a careful owner can keep clean books for longer than used to be possible. What it does not do is notice that a recurring charge quietly doubled, or that last month's revenue is sitting in the wrong period. Software is confident either way. That is the gap.
This is also the version of the work that pays for itself twice. In a lean year you keep the cash in the business. In a good year you hand a bookkeeper clean books and talk to your CPA, your banker or an investor about what the numbers mean rather than what they say.
- What AI categorisation gets right, and the four things it does not
- A monthly review you can finish in under an hour
- Which of your own records are safe to put into an AI tool
- Enough vocabulary to hold your end of the CPA conversation
None of those quite fit?
Two groups ask regularly and there is no program for them yet. Students working through a bookkeeping or accounting course, and people who want to understand their own money without running a business. Both are welcome at Focus Fridays, which is free and has no prerequisite. Neither has a paid program built for them today, and saying otherwise would waste your time.
If you are learning bookkeeping from the beginning, learn that first and come back for the AI part. It is a better order, and every program here assumes you already know a debit from a credit.
Come to a Focus Friday, free →Still not sure this is for you?
Can my whole accounting team train together?
Yes, and for most teams it works better than sending one person. Cohorts run at ten people or fewer, so a typical in-house team fits in a single private cohort. Training together means one agreed rule about what goes into an AI tool, rather than one person coming back with notes nobody reads. Sessions run five to sixty minutes and are scheduled around your close.
Do you train accountants and CPAs, or only bookkeepers?
Both. The material is the same because the risk is the same: client data going somewhere it should not, and AI output being trusted without review. What differs is the examples. A CPA sitting in AI Essentials works through the same governance rule as a bookkeeper, applied to the work in front of them.
What is shadow AI, and why does it matter for an accounting team?
Shadow AI is people using AI tools at work that nobody approved. For an accounting team it matters because the fastest way to summarise a vendor statement or clean up a messy export is to paste it into a chatbot, and client data goes with it. Almost nobody does this to be reckless. They do it because they have a deadline and no guidance. The fix is a written rule about what leaves your systems, which takes a morning, not a policy project.
Is GuideOnce only for firms that use Xero?
No. Demos run in both Xero and QuickBooks Online, and the AI material is not tied to either. Dawn has been a Certified Xero Advisor since 2013 and a Certified QuickBooks ProAdvisor since 2006, so the examples come from real work in both. GO Xero is the one program that is Xero-specific, and it says so.
I am not a bookkeeper. Can I still take a program?
Yes, if you already keep books for a business you run. The programs assume you know a debit from a credit and can find your way around your own accounting software. They do not teach bookkeeping from scratch. If you are learning the basics, learn those first and come back for the AI part. Focus Fridays is free and has no prerequisite if you want to sit in before deciding.
Whichever one of those was you, start in the same place.
Come to a Focus Friday and see how the training actually runs before you spend anything. Free, weekly, and open to owners and staff alike.
Free · No commitment · Beginner-friendly · Owners and staff both welcome