Talking Tax & Accounting | Tax and business advisory practice in Brisbane, Queensland
Before Vinyl, Paul Talkington of Talking Tax & Accounting corrected every AI transcript by hand, with FBT coming out as "FPT" and GST as "GPT".
Now the Brisbane accountant records on his phone, his desktop or a separate Pocket recorder, runs every recording through Vinyl, and sends clients summaries they confirm without changes. His rule, borrowed from hi-fi, is source first: accurate AI transcription for accountants comes before anything the AI does next.
At-a-glance stats
Firm: Talking Tax & Accounting, Brisbane. Business clients only, all on Xero and all with their own bookkeeper
Team: Paul plus a support team in the Philippines
Before: transcripts from ChatGPT and Google AI Studio, the Oasis app and Dragon dictation, each needing heavy editing
Capture now: Vinyl mobile app in person, desktop for routine Zoom and Teams calls, plus uploads from a Pocket recorder
Transcript edits: line-by-line correction → around 10 words corrected across roughly 20 transcripts
Client corrections to meeting summaries: none to date
Stack: Xero, Karbon, Ignition and Microsoft 365
Before: what life looked like pre-change
Context
Paul spent ten years at Deloitte, worked as a CFO of large private businesses and was a business advisory partner at Vincents in Brisbane. In 2018 he left to build Talking Tax & Accounting his own way. No office. A small team. Only business clients who run on Xero and have a bookkeeper. No individual tax returns, and billing by value rather than timesheets.
That model runs on automation. TextExpander holds every client's entity names and standard letters, and Dragon dictation carries a vocabulary he built word by word.
His meetings are the heavy part of the job: tax planning, structuring, new-client discovery and identity checks for anti-money laundering (AML) obligations. Plenty of them happen face to face in Bardon rather than on a screen.
Old workflow and tools
Recorded meetings and ran the audio through ChatGPT or Google AI Studio for a transcript
Dictated notes and ideas into the Oasis app on his phone
Maintained his own accounting word list in Dragon Professional
Corrected every transcript by hand before trusting any summary built from it
"It was really like reviewing the typist's work, if you're old enough to remember having typists or dictaphones." - Paul Talkington, Founder, Talking Tax & Accounting
Where things broke
Tax terms came out wrong. FBT, GST and Division references were mangled, so a one-hour client meeting needed a line-by-line check.
Editing cost more than it saved. Fixing the transcript took longer than writing notes would have.
Generic tools didn't know the profession. None of them were built for accountants, so the errors never stopped.
Small talk filled the record. New-client meetings include the footy, the family and last week's bottle of red. General tools kept every word of it.
The trigger
Dragon's top tier, Dragon Medical, ships with medical terms built in. Accountants get no equivalent, so Paul spent years adding his own. Vinyl's draw was that the accounting vocabulary came built in.
"I sort of had built the Temu version of what you guys had done for my own use." - Paul Talkington
During: how Paul made the change
What he looked for
Paul wasn't after another recorder. He had plenty of those. He wanted clean input for the AI tools he already relied on.
Non-negotiables
Tax and accounting terms transcribed correctly without manual fixes
Recording that works face to face on a phone, not only on video calls
A way to bring in recordings made on other devices
Summaries that keep the decisions and drop the chat
Control over which conversations end up on a client's file
Why Vinyl over Pocket and generic AI tools
Paul also owns a Pocket AI recorder, recommended by an accountant friend, and rates it as a recorder. The test came when he recorded a BMT webinar on upcoming tax depreciation changes. The speaker talked quietly and steadily to camera, and Pocket's transcript came back with sections marked indiscernible and "Div 43" written as "Dish 43".
He uploaded the same recording to Vinyl and, in his words, "it was perfect". Because the audio was identical, the result told him exactly where the problem had been.
"It was a transcription issue, not a recording issue." (Paul Talkington)
That is also why he sees Vinyl as the step after the recording rather than a rival to hardware recorders like Plaud or Pocket.
"You can get Pocket or whatever to transcribe your meeting with pretty good accuracy, but it won't give you the backend report or anything useful, whether you're doing an email, an internal memorandum, a file note, or putting it into an MCP to build a proposal in Ignition." - Paul Talkington
Implementation
Paul set Vinyl up around how he already works rather than connecting everything on day one. He records most client meetings on the Vinyl mobile app. For routine Zoom and Teams calls he records on desktop, prompted by Rize, a time-tracking app that spots an upcoming meeting and asks whether to start Vinyl. Recordings from his Pocket device go into Vinyl when they are worth keeping.
The new playbook
In-person meetings are recorded on the phone, and routine video calls on desktop
Recordings made on other devices are uploaded to Vinyl
Paul opens the meeting in Studio and runs one saved prompt from TextExpander
The prompt asks for a table of action items, owners and due dates, a separate summary paragraph, and for the AI to ask him questions before it answers
He confirms who each speaker was, and which recordings belong to the meeting
The output goes to the client as a PDF with a request to confirm it
Step four matters. When Paul once uploaded a client meeting alongside book-planning notes recorded ten minutes earlier, the AI asked which one to summarise instead of blending them.
After: results and proof
What changed (before → after)
Area | Before | With Vinyl |
Terminology | FBT as "FPT", GST as "GPT" | Around 10 words corrected across roughly 20 transcripts |
Review before use | Read and correct every line | Straight from transcript to Studio prompt |
Small talk | Kept in the record | Removed unless he asks for it |
Recordings from other devices | Gaps marked indiscernible | Same audio transcribed cleanly |
Client summaries | Built by hand from edited notes | Table of actions, owners and due dates |
Client corrections | Not tracked | None to date |
Figures based on Paul's own estimates shared in the interview.
Day-to-day impact
He doesn't read the transcript first.
"Download the transcript, don't even read it, don't look at anything, straight to AI Studio, run my prompt, and then generate the output." - Paul Talkington
Summaries keep the decisions. When two founders argue back and forth for fifteen minutes, the output records where they landed.
"It'll remove all that mumbo jumbo unless I ask for it and just give the actual items." - Paul Talkington
Clients sign off on the record. Every summary goes out with a follow-up that asks the client to confirm it. Months later, when a deadline slips, Paul can point to the agreed list.
"I've sent this to lots of clients and always said, look, just confirm this is a correct reflection of the meeting. Is there anything that I've missed? Never had a correction." - Paul Talkington
He decides what goes on the file. Some of Paul's clients won't speak frankly with a meeting bot on the call, but are happy with a phone on the table. Mobile recordings show speakers as participants until Paul names them, which gives him room, in early and hypothetical structuring discussions, to decide what belongs on the client's file and when a matter should move to lawyers and legal professional privilege. It is one of the confidentiality questions every firm should think through before recording clients.
Business impact
Near-zero editing: around 10 words corrected across roughly 20 transcripts
No client corrections to the summaries he has sent for confirmation
One standard of output whether a meeting was recorded on a phone, a desktop or another device
Frank conversations kept frank, with clients who refuse meeting bots comfortable with a phone on the table
Reliable input for the rest of his AI stack, from client emails to proposals
"To have the accuracy, that's chicken feed compared to your hourly rate." - Paul Talkington
Bottom line
For Paul, the case for Vinyl comes from his hi-fi hobby. Serious hi-fi builders talk about "source first": get the turntable right, because nothing further down the chain can fix what it misses.
"If you've got a [poor] turntable, the amplifier and the speakers are never going to improve it." - Paul Talkington
Plenty of firms now record on generic apps and paste the result into ChatGPT or Claude. The AI can only work with the words it is given, and financial terminology is where general transcription fails. Like Bec Argent, who dropped a generic notetaker after rewriting nearly every email it drafted, Paul found general-purpose tools cost more in checking than they save. One bad transcript in front of a sceptical partner, he warns, can end an AI rollout on the spot.
His advice to other accountants is short.
"Vinyl, the accuracy is vastly superior to everything else." - Paul Talkington, Founder, Talking Tax & Accounting
Frequently asked questions
Can Vinyl transcribe recordings made on other devices?
Yes. Paul uploads audio from his Pocket AI recorder and gets the same transcript, summary and actions as a meeting Vinyl recorded itself. Audio that another tool marked indiscernible came back clean.
How accurate is Vinyl's transcription for accounting terms?
Paul estimates he has corrected around 10 words across roughly 20 transcripts. Terms such as FBT, GST and Div 43 come through correctly because Vinyl is built with accounting and tax vocabulary. Vinyl’s transcription is at 95% accuracy for most meetings.
Can Vinyl record in-person client meetings?
Yes. The Vinyl mobile app for iOS and Android records face-to-face meetings. Paul records most of his client meetings this way, including coffee meetings and in-person AML identity checks.
What did Talking Tax & Accounting use before Vinyl?
ChatGPT and Google AI Studio for transcripts, the Oasis app for dictation and Dragon Professional with a custom vocabulary. He still uses a Pocket recorder for some recordings, then sends them through Vinyl.
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