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Every engagement starts with the business case: where your time and money go today, and what AI could save. Then we build what pays off first, and measure the result.
Based in Kelowna, BC. Fixed-price scoping. Ownership and licensing terms are set out in your contract.
Step 1
Audit
Where your time and money go today, and what AI could save.
Step 2
Build
The highest-return project first, connected to your tools.
Step 3
Measure
Results reported against the baseline we agreed up front.
Most AI spend is wasted on the wrong starting point. We map how your business runs, estimate what each AI opportunity could save, and rank them by return, effort and risk.
You get a written, costed roadmap: act on it with us, in-house, or with any vendor.
How we measure the return
What you get
The fastest-growing AI demand isn't new software. It's AI inside the tools teams already use. We connect AI to your CRM, email, help desk and documents so it summarizes, classifies, drafts and routes work where it happens.
No new platform to adopt, no extra subscription to justify.
How we measure the return
Where it pays off
Agents research, decide and take action across your tools. Multi-agent systems split complex work across specialized agents that check each other and hand off to people when it matters.
Many agent projects stall as pilots. We build for production: guardrails, logging, evaluation and human approval from day one.
How we measure the return
Common uses
AI chatbots trained on your content resolve common questions and capture leads around the clock. AI voice receptionists answer calls, book appointments and route urgent issues when your team can't pick up.
Your staff spend less time on repeat questions, and no enquiry waits until morning.
How we measure the return
What it handles
Intake, data entry, document handling, approvals and follow-ups quietly consume your team's time. We automate them, including AI that reads and routes documents, and measure the hours removed.
Built on n8n, Make, Zapier or custom code: whatever gives the best return for the job.
How we measure the return
Examples
We use whatever gives the best return for the job: n8n, Make, Zapier, direct API integrations or custom code.
AI receptionists tuned for dental clinics, Okanagan wineries and BC trades.
Most software engagements fall apart in the same three places: a quote that does not match the build, silence between kickoff and launch, and a vendor who disappears the day the contract ends. We structured our process specifically to prevent that.
Every engagement starts with a free 15 to 30 minute discovery call. We map the workflow you are trying to fix, the tools you already use, where you are losing time, and what success looks like in six months. If your problem is better solved with an off-the-shelf tool than a custom build, we will say so, even if it means a smaller engagement for us.
We write a short technical scoping document before the price exists. The document lists features in scope, integrations, deployment target, and the assumptions baked in. You see the scope before the quote, and the quote is fixed against that scope. No vague mid-build “additional complexity” line items.
You see real, deployable progress every week or two. Most clients have a private staging environment where they can review features as they are completed. There is no “reveal at launch” pattern, surprises in software almost always mean the brief was not clear enough.
Custom builds use Next.js for the web, Node and Python on the backend, Postgres for data, and Cloudflare or Vercel for delivery. Automation pipelines run on n8n, self-hosted in Canada when you want it. Voice agents are built on VAPI. These choices are deliberately mainstream. You should never end up dependent on an obscure tool to keep your platform alive.
At launch you get documentation and a runbook, with handover and ownership terms set out in your contract. Many clients keep us on a small monthly retainer for ongoing changes, monitoring, and operational guidance, but it is optional.
Custom software is not always the right call. Here is how we think about the tradeoff so you can decide before you commit.
Most of our engagements start with a conversation about this tradeoff. If you tell us what you are trying to fix and how your team works, we can usually say in 15 minutes whether custom or off-the-shelf is the better call.
Deeper experience in industries with seasonal rhythms, compliance overhead, or operational complexity that off-the-shelf tools never quite handle.
Web apps, mobile apps, internal tools, client portals, dashboards, marketing sites, SaaS platforms, AI-assisted workflows, and AI voice receptionists. The common thread is operational software for businesses that have outgrown spreadsheets and stitched-together SaaS.
Yes. The voice agent platform works across industries, and we have built agents for clinics, real estate teams, trades, hospitality, and professional services. Most of the work is matching the agent's behaviour to how your business handles calls today.
Often, yes. AI chat, booking forms, search, automated follow-up, and review requests can usually be added without rebuilding the site. If your current platform is limiting results, we will explain the options.
We focus on Canadian businesses because our delivery process, contracts, and tax handling are built around them. We take on US and international projects selectively when the fit is right.
Canadian hosting is available on request. Custom builds can run on Canadian-region infrastructure, and automation pipelines can run on self-hosted n8n on a Canadian VPS. We can also deploy to your own AWS, GCP, or Azure account.
Ownership, licensing, and handover terms are set out in your contract. Hosted services like the AI Voice Receptionist have no long-term contract, and exit terms are covered in your agreement.
No need to switch platforms. We connect everything you already use into one smooth system.
“We connect the tools you already use into one automated system, so everything talks to everything.”
Book a short discovery call and we'll talk through your workflow, bottlenecks, and where automation or custom software could save the most time.
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