AI That Actually Works
in Your Finance Function
Everyone's telling you to "use AI". We're the Sydney AI finance specialists who make it real. myrtl comes into your business, finds where AI genuinely pays off in your finance function, builds the tools, and trains your people to run them. Real operators, real finance experience — zero hype.
Consult. Build. Train.
Three phases, one goal: AI that your finance team actually uses, with results you can measure.
Find where AI actually pays off
You know the buzzwords — we know the difference between a demo and a tool your team uses every day. We audit your finance function, find the highest-value AI opportunities, and give you a prioritised roadmap with honest ROI estimates. Sometimes the answer is 'not yet' — we'll tell you that too.
- AI opportunity & readiness assessment
- Data & systems audit
- Prioritised roadmap with ROI estimates
- Governance, risk & privacy guardrails
Working tools, not slideware
We design and build AI tools around your finance workflows: invoice and document processing, reconciliation automation, reporting copilots that answer "how are we tracking?" in plain English, forecasting assistants, and anomaly detection on your ledger.
- Custom AI tools & automations
- Reporting copilots on your data
- Invoice/document extraction workflows
- Integrations with Xero, MYOB & your stack
Your team runs it — confidently
A tool nobody uses is a cost, not an asset. We train your finance team and business users hands-on: how to use the tools, when to trust them, when not to, and how to get value from AI safely in their day-to-day work.
- Hands-on team training & playbooks
- Prompting & review workflows
- Safe-use policies for finance data
- Ongoing support & iteration
Finance people who build, not builders guessing at finance
I'm a Chartered Accountant and data specialist who has run finance functions every day. I know what month-end actually looks like, what auditors will ask, and where the risks live in your data. That's the difference between an AI experiment and an AI asset.
Frequently asked questions
What can AI actually automate in a finance function today?
The reliable wins are invoice and document processing (reading supplier invoices and receipts and coding them), first drafts of reporting commentary, anomaly detection across every transaction rather than a sample, plain-English querying of your own numbers, and rapid scenario modelling. Judgement calls, unsupervised bookkeeping and genuine prediction of the future remain human work.
How much does an AI finance engagement cost?
Pricing is custom because scope varies from a short opportunity assessment to building and deploying multiple tools. Every engagement starts with a free 30-minute discovery call and is followed by a fixed-scope proposal with milestones, timeline and price before any work begins.
Is it safe to use AI with our financial data?
It depends entirely on the tooling. Pasting ledger, payroll or customer data into free consumer AI tools is a governance risk. myrtl uses business-grade tools with proper data controls, and sets up the governance, privacy guardrails and safe-use policies alongside the build so your team knows what is and is not acceptable.
Which systems can the tools connect to?
myrtl builds around the stack you already run, including Xero and MYOB and the reporting and spreadsheet layers on top, rather than requiring you to move systems first.
What if AI is not the right answer for us yet?
Then you will be told that. The consulting phase assesses your data, systems and processes and returns a prioritised roadmap with honest return-on-investment estimates — and sometimes the correct recommendation is to fix the underlying process or data first.
Do you train our team, or just build the tools?
Both. Training is a distinct phase of every engagement, covering hands-on use, when to trust the output and when to verify it, review workflows and safe-use policies — because a tool nobody trusts or understands is a cost rather than an asset.