An adaptive document intake system for your team — proven on your exact problem before you spend a dollar.
Email us to go ahead →Your team handles around 700 client documents a month across three branches. Today that means hours of manual reading, relabelling and filing for every application. You've already seen what happens when that gets automated badly: a well-funded, AWS-backed build spent close to two years and a reported ~$170,000 and never got past the first stage. It broke on a single interstate licence, and every change meant going back to the vendor.
This proposal is different in one important way: the hard part is already proven. We ran your exact problem — the six situations that stalled the last build, plus six real phone-photo IDs — and it cleared all of them.
You run a busy YBR franchise: 11 brokers, three branches, around 45 settlements a month and roughly 700 client documents flowing through a shared admin inbox. Every application means someone opening attachments, working out what each document is, renaming it to your convention, filing it into the right client folder, and checking it against a compliance checklist that changes regularly. It works, but it eats the time your team should be spending with clients.
You tried to fix this once already. The previous provider, brought in through AWS, invested close to two years and a reported ~$170,000. It never got past stage one. It broke when a Western Australian licence didn't match the format it expected, and adapting to anything new meant a fresh quote and a wait — sometimes months. A new compliance checklist landed the day before we first spoke, which is exactly the kind of change that approach can't keep up with.
A rigid system, in an industry where the rules never stop moving, was always going to stall.
Before asking you to spend anything, we built a realistic application pack and seeded it with the six situations that broke your last build — then ran six real phone-photo IDs through the same reading layer: three states, an overseas passport, a Medicare card.
Six real documents, photographed on a phone the way a client would. Each one identified and read correctly.
Masked account number (XXXX XXXX) — read as a masked number; real name found elsewhere.
Middle-name variant — matched to the same person, flagged to confirm.
Joint account — assigned to both applicants, routed for your policy.
Home-loan statement, no name — linked by property address.
Two documents in one PDF — read both, clean split proposed.
Unknown document — preserved and labelled, never discarded.
The difference between this and what you had is one word: adaptive. The old system worked off fixed rules, so every new bank layout, unusual document or compliance change meant going back to the vendor, paying more and waiting. This reasons about what it's looking at the way a trained admin would — so a new format or a new checklist is just another day. When compliance changes, it adapts. You don't lodge a change request, and you don't wait three months.
An always-on layer watches the application inbox and picks documents up the moment they arrive. No change for brokers or clients.
Every document is read in context, not pattern-matched — a tax return from a payslip, a taxpayer from their accountant.
Renamed to your convention, filed into the right client folder, and checked against your current compliance checklist.
The broker gets one clean summary: filed, outstanding, financial flags, and a copy-paste block for your CRM.
What the broker receives for every application. (Sample shown on synthetic data — fully tweakable to your format.)
You're handling identity documents and financial records, so this matters as much as the result.
A full Statement of Work will set out scope, data handling, responsibilities and terms — including that the AI is not responsible for credit, financial or compliance decisions, which remain with your qualified team — before any real documents are touched.
Illustrative, using your own numbers from our call. Final figures depend on your volumes and how you redeploy the time.
Your goal: free ~3 hours a day of admin time. At ~21 working days that's about 60 hours a month back to client-facing work — plus fewer errors and faster turnaround.
If the time your team gets back goes into clients instead of paperwork, we estimate $5,000–$9,800 a month in added commission from more client-facing time. Illustrative, and dependent on how the time is used.
The previous build reportedly ran close to ~$170,000 over nearly two years and stalled at stage one. Pilot plus full deployment here is $23,000 + GST total — live in weeks.
Conservative read: on reclaimed admin time alone the build pays for itself in roughly 9–10 months. Added client-facing commission brings payback to about 2–3. Figures are estimates and depend on how the reclaimed time is used.
One build, delivered in two stages. Phase 2 follows a successful pilot. All prices + GST.
The only ongoing cost is a Claude Max plan, billed directly by Anthropic — not by us. For your volume (~700 documents a month across three offices), budget roughly $150–$300 AUD / month + GST; we confirm the exact tier during the pilot from your real usage. No NxtLayr retainer is required to keep it running.
The pilot and first deployment solve document intake. That same foundation is the start of a ladder you named yourself — scoped and quoted one build at a time, so you only ever pay for what's working:

I've spent over a decade working with businesses — across sales, operations, and technology — and the one thing that's always been true is this: the businesses that move first win.
Before founding NxtLayr AI, I spent six years working in technology companies — in e-commerce and cybersecurity — selling to businesses of every size, understanding their operations, and seeing firsthand where they were leaving money on the table. The answer was almost always the same: too much time on manual work, too many leads slipping through the cracks, and not enough hours in the day.
I started NxtLayr AI because I saw a gap. The AI tools that could genuinely transform a business were out there — but nobody was making them accessible to the businesses that needed them most: manufacturing, industrial, professional services, construction, real estate, and trades. Companies with real operations, real complexity, and real opportunity to gain an edge. That's what we do.
This proposal is the result of that process — a genuine look at your business, your challenges, and where AI can make the biggest difference. I work on every engagement personally.
Every engagement starts with the same kind of proof you're reading now. Here's what that's led to for businesses like yours.
Trusted by
"We brought Chris from NxtLayr in to consult for us. He ran an AI audit which found a few gaps in our process. We're a concrete business and before meeting Chris I assumed AI couldn't do much for us. The team is fully in the know and using the AI system every day now for quoting, writing scopes, admin, and more."
"I was hearing a lot about AI but not knowing where to start. Chris was very knowledgeable and patiently explained the advantages. Many of his recommendations were surprisingly low cost and easy to use. The audit paid for itself already, and we plan to engage NxtLayr AI to automate more processes."
"In an evolving area Chris is really on top of what's available and how these can add real value to your business."
a week back to the director — client emails drafted and every call written up, automatically.
from kickoff to two AI agents running.
Every client email was written from scratch, and every meeting needed a careful written follow-up. The work that actually grows the firm — advising clients — kept getting pushed behind admin.
We built an email agent that drafts replies in his own voice straight into his inbox, and a call agent that turns every client meeting into a clean summary with action items, ready for the file. He reviews and sends. The blank page is gone, and the partner's time goes back to clients.
Email us to go ahead. We'll collect the initial pilot payment and sign a Statement of Work with you — including the confidentiality clauses that protect your clients' data — and start building straight away. Expected live by the end of June.
Email us to go ahead →Chris Gulotta · NxtLayr AI · 0477 018 400 · hello@nxtlayrai.com