REMAP.ai
1 September 2026
REMAP.ai
1 September 2026
An idea you have carried since 2018, now a working configurator. Pick a shape, enter your measurements, choose your spec, watch the price move, book a check measure. Twenty layouts designed, thirteen live. What stands between that and a business is the unglamorous middle — payment gateways, user accounts, the error that fires when someone clicks the wrong thing, and the operational radius check that stops a job in Alice Springs landing in your calendar. That is what an embedded specialist does.
We do not need to imagine the friction. You described it.
“I know you could build the site, but where does it stop? What could we sort of do together? How could I get this live?”
“I really want it to be like e-commerce. I don’t want it to be managed.”
“It is manufacturing as well. The product can’t grow quicker than the capacity of the facility.”
Specific to a business like yours — vertically integrated, CNC-backed, and deliberately lean.
A developer doing a one-into-four is sitting in his car between site visits. He opens the configurator on his phone, picks an L-shape, enters three measurements, flicks to Builder’s range, and watches the number settle at eight and a half grand. He books a check measure and pays the deposit before he has started the engine.
Your measurer arrives on Wednesday because the system grouped that postcode into Wednesday. He opens a form that already knows it is a Glengarry 3.2 and asks for the six measurements that layout needs. He talks through the two upgrades the client is unsure about while the recorder runs. He hits submit and walks out.
By the time he is back in the van, the client has the confirmed drawing, the adjustments, and a signature request with fifty per cent payable. Nobody typed a quote. Nobody chased anyone. You look at a dashboard on Monday and see leads in, quotes active, where people drop off, and what is landing in October.
You took us through the configurator on the call. It works. The product logic — the packs, the resizing, the spec tiers, the live pricing — is genuinely done. What is missing sits underneath it, and none of it is design work.
Most people building something like this get stuck on the design and the pricing logic. You have already solved both. What is left is the machinery that turns a working demonstration into something a stranger will hand a credit card to at eleven at night without thinking about it. That work is unglamorous, well understood, and exactly what an embedded specialist does every day.
We take what you have built and make it not break. Every edge case walked and handled, error tracking wired in, the hover-to-enlarge on bench tops and handles finished. Stripe connected so the check-measure fee and deposit are taken properly. User management deployed on Clerk — accounts, logins, password resets, all the boring machinery that has to exist before a stranger will trust you with a credit card. Address validation against your Adelaide metro radius before payment, not after.
Everything a stranger needs before they will spend eight thousand dollars on a website they have never heard of. The swatch enlargement you wanted. A mobile experience that holds up, because your buyers are builders standing in half-finished rooms. Clear order confirmation and a place to log back in and see what they bought. The remaining seven layouts loaded, and a back end so you can add the next fifty without calling us.
This is where the two-person operation becomes real. The check measure form that knows which layout was ordered and asks only for the dimensions it needs. Voice capture on site, assembled with the order into an adjusted proposal and sent for signature with fifty per cent payable before your measurer is back in the van. ArrowFlow mirrored into a customer portal, and a CRM underneath it so every enquiry, quote and order is tracked in one place rather than living in someone’s inbox. A text and voice agent on every message. Stripe reconciling into Xero. Appointments clustered by postcode. Where an open-source tool already does the job properly we connect it rather than build a worse version of it — that is a deliberate choice, and it is why this stays affordable to run.
Once the flows are proven, the repeatable ones stop calling an AI model and become fixed workflows in n8n. The same result at a fraction of the running cost, which matters as volume climbs. In the same phase we make sure the framework can be duplicated, so the commercial joinery version you have already worked out drops into the same shell with different contents rather than being rebuilt fromnothing.
Getting the product working is the first job. The second is making sure the people who would buy it know it exists. We ran an AI search audit on croudaceconstructs.com.au before we spoke — what it shows applies directly to how the new venture should be built.
You have the credentials most builders would trade for — a licence number, a decade of retirement-village work, a CNC workshop, named client testimonials. Almost none of it is published in a form an AI search engine can extract, verify or cite. When a renovator asks an AI assistant for a flat-pack alternative that actually fits their space, you want to be the answer that comes back.
The four phases take you to a working business. What happens after that is the part most people do not plan for — and it is where your capacity constraint starts to bite.
The day the site goes live, your specialist does not pack up and leave. The same person who built it stays embedded, watching how real customers behave in it and fixing what the first hundred orders expose. That is the part you cannot plan in advance, and it is the part that decides whether this works.
You named the real constraint yourself: the product cannot grow faster than the workshop. So the work after launch is not more marketing. It is making twenty to thirty units a month flow through cleanly, then widening the funnel only as fast as the floor can absorb it. Demand you cannot fulfil is worse than no demand at all.
Running quietly underneath all of this is the AI Adoption Pathway. In month one your team completes a short set of surveys covering how the wider business actually operates — the commercial fitouts, the retirement village refurbishments, the estimating, the scheduling. Andrew turns that into an ROI-ranked list of opportunities and reviews it with you personally. It does not compete with the build. It simply means that when the app is done, you already know what the next most valuable thing is rather than starting the conversation from scratch.
When the build settles, most clients step back to fractional rather than stop. Andrew stays available either way, and if you want the system left in our Private AI environment we host and manage it for a monthly fee.
All engagements are a minimum three-month term, billed monthly in Australian dollars. Rates are fixed for the full engagement. For the pace you described, Standard Full-Time is the fit — two months gets you the momentum, and the third gives you room to decide what ongoing looks like once the app is earning.
Infrastructure costs and Private AI hosting quoted separately. Full details at remap.ai/aispecialist
A clear sequence. Every step is managed by REMAP — your involvement is focused and minimal. Start dates depend on panel availability, which we confirm before you commit.
You sign the engagement agreement. Billing begins. The specialist search opens immediately, matched to what this build actually needs — front end, payments, and workflow automation. You hand over the repository and stack access so nobody waits on credentials later.
We build your panel of three matched specialists. You meet all three and make your selection — typically completed by the end of week two. This is the one part of the process that depends on availability, which is why we confirm it before you commit to a start date.
Your specialist joins and goes straight into Phase 01. First week is spent inside the existing build, understanding what you have written and where it breaks, then the production work starts. Andrew holds a strategy session to agree the sequencing and what live actually means for launch.
Stability first — the configurator hardened, payments live, accounts working, taking real orders. Then the automation layer: the check-measure form, the proposal assembly, the portal and the messaging agents. On the shape we discussed, taking payment sits inside the first month and the automated flow inside the second, subject to what the specialist finds in the existing build.
Eight years is long enough for an idea to sit in your head. You have already built the thing that was hard to build. Everything from here is managed by REMAP.