Run the firm
your headcount can't.
AI on hardware in your office. Reconciliations finished overnight, deal databooks in days, every client's history answerable in plain English. Your data never leaves your building, and neither does the value it creates.
A short call to answer your questions and see whether this fits your firm.
The capacity problem has had two answers. Both are failing.
Hiring senior accountants is the plan every firm has and almost none can execute. The pipeline that used to produce them was dismantled when the junior work went offshore.
Offshoring bought capacity and charged for it in review time, quality risk, and a consent problem that now covers offshore processing and cloud AI alike. Senior staff spend their week correcting work instead of doing the job they trained for.
"You can outsource the services, but you can't outsource the risk."
Hire
Can't find them.
Offshore
The risk stays yours.
Install
Capacity that never leaves the building, reviews to exceptions, needs no consent letter.
Give your seniors back the job they trained for.
0 days, cut to 0
up to 0% faster
hours cut up to 0%
Around 0 hours per employee, per week, reclaimed
Each module works like a hire: it owns real work, learns your firm, and never leaves the building.
The Databook
Hand it a deal and it reads the whole ledger, not a sample. It works through every line, flags the anomalies, balances the intercompany positions, and builds the databook to your workbook standard before the team starts the review. And because it holds someone else's entire ledger under NDA, it never leaves your building.
The work of a dedicated analyst, on deal one.
Active Local DeploymentThe Reconciliation Engine
It runs overnight and the reconciliations are ready the next morning. It learns your coding patterns, remembers every correction anyone makes, and queues only the exceptions it isn't sure about. The work that used to swallow days becomes a morning review.
The morning review that used to be someone's whole week.
Active Local DeploymentThe Client Brain
It holds every client's full story: workpapers, correspondence, meetings, financials. Ask it anything in plain English and it answers from the file, not from guesswork. This is the module that grows advisory revenue rather than saving cost, because the partner who can see the whole story sells the next engagement.
Every partner answers like the one who has read the whole file.
Active Local DeploymentCompliant Client Onboarding
It knows what a trust needs versus a company, collects and verifies as the client comes on, screens the principals, and writes the evidence pack as a by-product of the work.
The fastest yes in your suburb, with the proof attached.
Active Local DeploymentSovereign Document Engine
It reads everything that arrives, files it against the right client and job in the systems you already run, and hands your team back an empty inbox.
An empty inbox is a staffing outcome.
Billable-Hour Capture
It watches the work, drafts the timesheets, and ends the Friday reconstruction of where the week went.
The hours you already worked, finally on an invoice.
Module Pipeline · Calibrated locally
Keep your stack. We add intelligence on top, and the routing stays inside your building.
What this does to your numbers.
Firm Efficiency
Every firm leaks differently. Some lose billable hours to chasing and rework. Some are capped on capacity and quietly turning work away. Some have margin draining through unbilled time nobody records. The pattern underneath is the same: the hours come back, the billables go up, and the cost stays fixed while the volume doesn't.
Workflow Analysis
We won't put a number on your firm from a webpage. That is what the Scout is for: fourteen days inside your workflows, and a roadmap with your figures on it, showing exactly where the money is.
Practice Value
For owners thinking further ahead, the same shift shows up in margin, and in what the practice is worth when it sells.
Australian jurisdiction by architecture.
Fixed infrastructure cost instead of per-token fees forever. A system that learns your practice, where the longer it runs, the more it knows, and everything it learns stays yours. Client trust you can point at, physically. And Australian jurisdiction by architecture, not by promise.
Data sovereignty
client data is processed on hardware the firm owns, inside the firm's premises, under Australian jurisdiction. It never transits a third-party cloud, an offshore region, or a US-provider platform, because Australian-hosted on a US hyperscaler is Australian geography, not Australian jurisdiction.
Operational sovereignty
the models are open-weight (Google DeepMind's Gemma family), running locally. No vendor can revoke, throttle, retrain on, or be compelled to hand over what happens inside your building. Every inference is logged to a permanent local audit trail.
What we don't claim
that the model weights were trained in Australia, or that any regulator endorses us. We claim custody, jurisdiction and auditability, the three things your obligations actually turn on.
Ask any AI vendor: can my client data physically leave this building, in any form, at any stage? Our answer is no. Get theirs in writing.
On-premise Infrastructure
The hardware the work lives on. It sits in your office, not ours.
| Architecture | Attestor | Cloud AI |
|---|---|---|
| Jurisdiction | AU COURTS | US CLOUD ACT |
| Data Tenure | PERMANENT | EPHEMERAL |
| Auditability | 100% LOCAL | VIRTUAL |
| Cost Strategy | CAPEX FIXED | USAGE OPEX |
| Staff Capacity | SYSTEM-SCALER | BURNOUT CEILING |
| Practice Reliance | INFRASTRUCTURE | HERO DEPENDENT |
Make the practice worth more. Then decide whether to sell it.
The last five years of your practice can be the most profitable, and the sale can price like it. Attestor helps you transition to an AI-operated firm on modern sovereign infrastructure, securing your equity.
Sole/micro
Boutique
Regional/mid-tier
Tech-enabled, advisory-diversified
The jump between bands is driven by recurring advisory revenue, documented systems, and non-principal-dependence.
Modern practice sales are structured as multi-year earn-outs against client retention, so the seller's real risk is collecting the price, not negotiating it. Installed systems, documented workflows and evidence trails are how the practice holds its clients through transition.
Attestor doesn't just argue for a better multiple. It protects the part of the price you only get paid if the clients stay.
See what a faster,
more profitable firm looks like.
Most AI solutions send your clients' sensitive files to external US clouds, leaking data and violating jurisdiction limits. Attestor's Client Brain operates 100% locally on your on-premise hardware, answering complex questions securely in seconds.
When did we last review the trust distribution minutes for Example Family Trust?|
Last reviewed 14 March 2026.
Minutes signed 27 June 2025.
!Flag: 2026 minutes not yet on file.
Source: correspondence log, workpaper 7.3.
Straightforward local setup.
From hardware delivery to fully trained local system models in three straightforward steps.
Scout: see the opportunity.
14 business days. Fixed price. We map your workflows, find the gaps, and show you exactly where AI saves time and reduces risk. You get a roadmap with numbers.
Create: install the system.
Hardware deployed. Modules built. Integrated with your XPM, Karbon, CAS360, FYI. Tested against your real practice data. Fixed price per module.
Operate: we keep it running.
Monthly retainer. Monitoring, updates, regulatory changes integrated, new modules when you’re ready. No AI team needed. We handle the infrastructure.
Transparent pricing, zero token fees.
| Item | Price | Notes |
|---|---|---|
| Scout | $9,900 + GST, fixed | 14 business days |
| First module installed | $55K–$65K + GST | includes NVIDIA hardware, install, calibration, training |
| Additional modules | $25K–$40K + GST | hardware already in place |
| Operate | $1,800 / $2,600 / $3,500 per month | by 1 / 2–3 / 4+ modules |
| Lease alternative | $2,000–$2,500 per month over 36 months | via finance partner |
The Scout Guarantee
If the Scout roadmap doesn't identify at least three times its fee in year-one recoverable value, we refund it.
The obligations are live.
The evidence handles itself.
AML/CTF Tranche 2
In force 1 July 2026Automated entity mapping, CDD evidence collection, and automated risk scoring.
Payday Super
In force 1 July 2026SG contributions must reach each employee's fund within seven business days of every payday. No more quarterly reconciliation. Our modules automate constant validation across every employee cycle to eliminate administrative bloat.
Privacy Act ADM transparency
In force 10 December 2026Active governance over automated decision-making. Deployed on-site to resolve cross-border exposures, keeping all client records under your roof and protected under Australian law.
The regulator asked for honest effort. Honest effort means evidence. The modules above generate it as a by-product.
Detailed guidance on every claim: our articles on LinkedInWe've sat in
your chair.
A chartered accountant who started at Deloitte and ran a 350-person global firm. A systems architect who's spent 30 years making technology work in real businesses. We're not selling you something we read about. We built it because we've lived the problem.
Johan Meyer
Founding PrincipalChartered Accountant (CA ANZ) with an MBA from Melbourne Business School. Started at Deloitte. Group Financial Controller at BDO. Then CEO of a 350-person global firm across five countries, and CEO of Australia's exclusive NVIDIA distributor, where he spent four years deploying enterprise AI hardware into Australian businesses. He knows what a BAS lodgement cycle costs in staff hours, what happens when an ATO data-matching letter arrives, and what it takes to move a practice from compliance grind to advisory growth. He started Attestor because he has solved these problems before. From both sides of the desk.
Matthew Keats
Founding ArchitectThree decades of sales, marketing technology, and digital transformation across multiple countries. 2026 Google Cloud AI Agentic Architecture winner. Matthew's career has been making technology work in real operations, not in pitch decks, but in businesses where it has to perform under pressure. At Attestor, he designs and deploys the sovereign AI infrastructure that turns Johan's practice knowledge into systems accounting firms can use every day.
Frequently asked questions.
Book an intro call.
Pick a time, bring your questions. If it fits, the Scout is step two.