The systems we build.
Seven systems running inside client operations right now. Each one takes work off a person who was doing it by hand.
In production
Voice agents that answer every call
Property management and brokerage. Replaces the front desk nobody was covering after 6pm.
What we build:
- Answers every inbound call, day or night, in your name
- Works out what the caller needs, then handles it or routes it
- Writes qualified leads straight into your CRM while the call is still warm
- Escalation rules and handoffs that you set, not us
In production: 0 calls missed, roughly 600 answered a month, 27% of them after hours or on a weekend, and 26% of all new leads in a two week window.
SEO and AI search visibility
Platforms and multi location operators. Replaces guesswork about which pages are worth writing.
What we build:
- Real search demand mapped and sized, so every page aims at searches you can name
- Page and content architecture built around that map rather than around a hunch
- On page data that updates itself instead of going stale a month after launch
- Answer engine work, so ChatGPT, Claude and Perplexity can find you and quote you correctly
- A live dashboard that pulls from Search Console and GA4 every day, so you watch it move without asking us
Platforms that cut out the middleman
Hospitality and short term rental. Replaces the listing site taking a cut of every reservation.
What we build:
- Front end and back end, designed and built end to end
- A booking engine and checkout that takes reservations directly
- An operator portal for the team, and a guest portal for the stay
- Bilingual throughout, with live local data that refreshes on its own
Most bookings now come in direct rather than through the listing sites, so the platform fee stays with the operator.
Custom CRMs
Trades and home services. Replaces a CRM that assumes you work in an office. Built around jobs, quotes, scheduling and callbacks instead, wired to the tools the team already opens every morning.
Accounting automation
Operations and finance. Replaces the week a month that reconciliation used to eat. Transactions pulled, categorized and reconciled on their own, with a human checkpoint at the points where it actually matters.
Operations automation
Across the business. Replaces your team acting as the integration layer between five tools. Automations that move the data, fire the right follow up, and keep systems in sync.
Also in scope
Work we take on that is not in the list above. Same team, same terms.
- Document and intake automation. Applications, forms and paperwork read, checked and filed without a person retyping them into another system.
- Tool selection and implementation. Working out which platform you should actually be running, then moving you onto it properly instead of half way.
- Integrations. Buildium, AppFolio, GoHighLevel, Zoho, HubSpot, Salesforce, Follow Up Boss, Slack, Gmail and Google Calendar, Twilio, QuickBooks, Stripe, Notion, Zapier, Make, and whatever else is already load bearing in your stack.
- Video and listing media. Walkthrough tours, listing and building video, and short vertical cuts for the campaign they run in, produced by the same team that builds the page they land on.
- Naming, brand and signage. The name, the palette, and the one line that has to read from across the street, measured off the scaffold drawing before anyone quotes the print.
- Dashboards and reporting. The weekly numbers pulled from the systems themselves, Search Console, GA4, the CRM, the phone line, so the report writes itself instead of waiting on someone's spreadsheet.
- Migrations and data cleanup. Moving off the platform that is not working, with the records, the history and the attachments intact, and the duplicates resolved on the way through rather than after.
- Training and handover. The named operator on your side learns the system with us, and the documentation is written for them rather than for us. That is what makes the handover real.
How engagements work
AI Audit, 2 weeks. Two weeks inside your operation, then a ranked plan: what to automate, in what order, and what each piece is worth. The plan is yours whoever you end up building it with. What's in the audit.
Build, 4 to 10 weeks. Fixed scope, agreed up front. Weekly demos on your real data, not a staging environment. Documented handoff at the end.
Operate, ongoing. We keep what we built running, refine it as the business changes, and add the next thing when the next bottleneck shows up. Either side can end it on 30 days notice.
You own the source code, the credentials, and the documentation from day one.
Questions, answered straight
Where does an engagement start? With the AI audit. Two weeks inside your operation, then a ranked plan of what to automate, in what order, and what each piece is worth. We do not quote a build before we have seen the work, because a quote written off a discovery call is a guess.
Do I own the source code? Yes, on day one. Every system we build belongs to the client: source code, credentials, and documentation. If you stop working with us, nothing switches off and nothing has to be handed over, because it was already yours.
Do you replace people with AI? No. We do not take on engagements whose purpose is to cut headcount, and we turn that work down. AI should give people back their time, not their jobs. The routine work goes to the machine and the judgment stays with your team.
What do you build with? Make.com, the Claude API, custom Python and FastAPI services, and whatever platforms you already run on, from Buildium and AppFolio to GoHighLevel, Zoho, HubSpot, and Salesforce. Tool choice follows the problem rather than the other way around.
How long does a build take? Four to ten weeks against a fixed scope, with a working demo on your real data every week. The scope is agreed in the audit walkthrough, so there is no separate proposal round between deciding and starting.
What does it cost? A fixed fee, quoted once we know the size of the operation. The audit is quoted on the discovery call, and the build is quoted at the end of the audit when the work is actually known. If we do not think the work will pay for itself, we say so instead of selling it.
Where we work
People and clients in four cities, and every system ships online: AI consulting in Toronto (Ontario and Canada), AI consulting in Boston (Massachusetts and New England), AI consulting in Cairo (Egypt), and AI consulting in Dubai (UAE and the Gulf). Trades in Toronto: an AI receptionist for Toronto plumbers, an AI receptionist for Toronto electricians, and an AI answering service for Toronto HVAC companies.