FAQ
Common questions
The things people usually ask before getting in touch. If yours isn't here, just ask — the contact form is at the bottom of every page.
What makes GME different from a normal accountant or consultant?
We're an ACA-qualified chartered accountant who also builds the AI. Most advisers can either talk strategy or write code, rarely both. Greg East does both, so the financial thinking and the systems that deliver it come from one place — the accountant who builds the AI.
How does the AI build and automation side work?
We build the thing, not just advise on it. That means automations, AI tools, data pipelines, and dashboards on Claude, n8n, Supabase, Next.js, and Vercel — scoped, delivered, and kept running. Because the same person understands the controls and the finance behind it, the build solves a real problem rather than chasing the hype.
How does AI actually help accountants and finance teams?
AI helps finance teams most where the work is repetitive and rules-based: reconciling transactions, chasing and coding invoices, pulling management reports together, and flagging anomalies for a human to check. Done well, it removes hours of manual work while keeping a clear audit trail. The trap is bolting AI on without controls — which is exactly why it pays to have a chartered accountant design it. We've built AI for accountants that saves 8–10 hours a month on Stripe-to-Xero reconciliation alone.
Can you build a database or a data pipeline for my business?
Yes — database design and build, automated pipelines, and the reporting on top are a core service. Most growing businesses don't have a data problem so much as a data-in-six-places problem: the accounting system says one thing, the CRM another, and someone spends their week reconciling the two. We design the model around the questions the business needs answered, connect the systems you already use rather than replacing them, and build reporting on a layer people can trust.
What does an AI implementation actually cost?
Builds run as fixed-price sprints, scoped after a short consultation and an AI & Automation Health Check, so you know the number before anything is built. Ongoing advisory or Chief AI Officer work runs as a monthly retainer. Price scales with how many systems are involved and how clean the data is, not with an hourly clock.
What does 'scale while staying lean' mean in practice?
It means the next lift in volume gets absorbed by systems rather than headcount. The usual pattern is a business where the answer to more work has been another hire doing manual processing. We find the work that follows a rule, automate it, and leave people on the parts that need judgement — so the same team handles more without the process getting fragile.
Who do you work with?
Growing SMEs and scale-ups where volume has outgrown the systems: manual processing eating hours a week, numbers scattered across tools that disagree, and decisions being made on data that's weeks old. Often multi-currency or multi-entity, and usually at the point where the obvious next step is hiring but the better one is building.
How do engagements start and how is pricing structured?
Everything begins with a short consultation and a free AI & Automation Health Check — a quick read of your systems, your data, and the work eating your team's time. From there we come back with a proposal. Builds run as fixed-price sprints; ongoing advisory runs as a monthly retainer.
Do you work outside Australia?
Yes. GME is Sydney-based and works across Australia, and the founder qualified and spent five years in financial-services audit in the UK — so UK and global businesses, including multi-currency and multi-jurisdiction reporting, are well within scope.