Canvo connects the inboxes, spreadsheets, POS, CRM and internal documents your business already uses. We start with one measurable workflow, keep critical actions behind human approval, and only expand after the results prove it works.
These four consoles mirror systems I built for my own business: a daily owner brief, enquiry triage, data synchronisation and venue monitoring. Names, messages and figures have been replaced with demo data.
High-stakes actions — sending customer emails, quoting, editing records — stay behind human approval. The AI only classifies, organises and drafts.
Rules are enforced in code: missing vendor falls back to a default, price swings over 20% never auto-publish, duplicates get merged.
The same structure works for any business with physical assets: fridge temperature, printers, terminals, stock-outs, booking anomalies.
Note: these consoles demonstrate structure and interaction only. All figures, customer details and device IDs are fabricated demo data and represent no real client or real trading performance. In real engagements, your data stays yours.
Information is scattered, key processes still depend on the owner, and staff repeat the same admin because the systems do not talk to each other.
Enquiries live in email, WeChat and individual staff phones. Replies get missed, follow-ups never happen, quotes disappear into silence.
Two hours a day copying numbers between systems into a spreadsheet — and at the end of it, still no clear picture of what is really happening.
The process lives in the owner's head. New staff ask the same questions over and over, handover is verbal, and things break the moment you are not on site.
POS, bookings, spreadsheets, CRM and accounting never speak to each other — so a human becomes the integration layer.
I am selecting five Melbourne small businesses for a free, tightly scoped pilot. We agree on the workflow, boundary and success measure in writing before anything is built.
Any third-party software, API, AI model or hosting cost is itemised before we begin. There are no surprise subscriptions, but this offer is not a free rebuild of your whole business.
After the five pilot places are filled, a workflow diagnostic is $88 and fully credited against any implementation you commission afterwards.
Places are not first-come-first-served. I select workflows that are specific, worth automating and realistic to prove within a small pilot.
Two or three minutes: the one process wasting the most time, and how you handle it today.
A 15-minute call to confirm whether it is worth automating and whether it fits the pilot. If it does not, I will say so.
Start with the smallest slice that proves value — usually something real and running within one to two weeks.
Compare time, error rate, response speed or manual steps before and after. Only expand if it worked.
Sells you a standard product, then asks your staff to adapt to it.
Starts from how you actually work, then connects the Email, Excel, Sheets, POS, CRM, booking system and internal docs you already use.
I run a physical small business in Melbourne and have lived these problems myself: staff communication, invisible numbers, processes that exist only in the owner's head, customer information scattered everywhere, and systems that refuse to talk to each other.
I built each category shown above inside my own business first, use it daily and fix it when it breaks. This is not ChatGPT training or a flashy AI demo that gets abandoned after launch.
A Monash Computer Science + Commerce double degree means I think about how the system is built and about cost, return, whether staff will actually adopt it, and who maintains it after launch.
No. The free pilot covers one specific workflow inside a written scope: one process, one or two data sources, one primary output and one round of adjustment. Anything beyond that is quoted separately — never built first and billed later.
No. Connecting what you already use comes first. A replacement is only discussed when the current system genuinely cannot deliver the outcome — and the migration cost is put on the table with it.
High-risk actions are never automatic by default. Approvals, permission limits, audit logs and anomaly alerts are all available. In most setups the AI classifies, organises and drafts — a human still presses send.
Three lines are itemised before we start: build cost, third-party subscriptions (software / API / model), and expected running cost. Small automations usually run cheap — but you will not get a fake zero-cost promise from me.
Client-specific code, configuration, documentation and handover materials are delivered per scope. Generic frameworks and reusable components stay with me — but you are never locked in: you can maintain it yourself or hand it to someone else at any time.
At application stage you never need to send passwords, full customer lists or financial statements. In an engagement, data access follows the minimum-necessary principle, sensitive fields can be masked or processed locally, and permissions and logs are auditable. Your data stays yours.
It reverts to the standard $88 automation diagnostic, including a process walkthrough and a written opportunity analysis. If you commission implementation afterwards, the $88 is credited back.
Two or three minutes is enough. Be specific, but do not send passwords, customer lists or financial statements.
I personally review every application within 48 hours. If it fits the pilot, I will send a 15-minute call link. If it does not, I will explain why and whether a simpler fix would do the job.
Or email me directly