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shane brady

AI for DTC brands in Ottawa

We build AI systems for DTC brands across Ottawa and the surrounding region. Our focus is simple: ship automations that turn CS ticket volume and personalization at scale into measurable wins. Every system we deploy plugs into the tools your team already uses, runs in production from week one, and gets tuned against real numbers instead of demos.

Updated April 21, 2026

The Ottawa market for DTC brands Ottawa is one of the most competitive environments in Canada for DTC brands. Buyers expect same-day responses, polished communication, and zero friction. At the same time, most operators we talk to in Ottawa are running lean teams who spend a huge chunk of their week on repetitive work that could be handed to AI today. We've spent the last few years shipping AI and automation projects for DTC brands operating out of Ottawa, and the pattern is consistent. The shops that win are the ones that stop treating AI as a novelty and start treating it as plumbing. Built well, it handles the boring 80% of the day so your team can focus on the work that actually grows the business. ## AI systems we build for DTC brands When a Ottawa team comes to us, we usually start by auditing the workflows where time leaks hardest. For DTC brands, that tends to be CS ticket volume, personalization at scale, content production, and review management. From there we design and deploy systems that produce outcomes like: - personalized flows: we wire up AI responders, generators, or schedulers that execute inside your current stack

  • CS volume handled by AI: automated flows that trigger on the events that matter and never get tired
  • content 10x output: reporting and follow-up sequences that run whether your team is on the clock or not Every build is custom. We don't sell a shrink-wrapped product because no two DTC brands operate the same way. What we bring is a repeatable playbook for shipping AI that actually runs in production. ### Lead handling and response time Speed to first touch is the single biggest predictor of close rate we see across DTC brands in Ottawa. We build AI voice and SMS agents that pick up the moment a lead lands, qualify them against criteria your team defines, and drop structured data straight into your CRM. After-hours, weekends, holidays: the system never sleeps, and that alone tends to move conversion noticeably in the first month. ### Operational automation Beyond the front door, we build internal AI tools that compress the admin layer. Think auto-drafted proposals, auto-generated summaries of client calls, and AI assistants that answer internal questions from your SOPs and documentation. For DTC brands we've helped cut hours off content production and review management by putting an AI layer over the tools the team already uses. ### Reporting and visibility The last piece most operators miss is visibility. We build dashboards and weekly digests that roll up the metrics that matter and surface the ones drifting in the wrong direction, so you can actually manage what the AI is doing instead of hoping it works. For DTC brands in Ottawa, that visibility often pays for the build on its own. ## Integrations with the tools you already run One of the hard-won lessons from shipping these systems is that the AI is the easy part. The integration is the work. For DTC brands we've built into platforms including: - Shopify
  • Klaviyo
  • Gorgias
  • Attentive
  • Yotpo If your stack isn't on this list, it's almost never a blocker. We've integrated with dozens of tools across the industries we serve, and anything with an API is fair game. Our team writes the glue code that makes the whole thing feel like one product instead of five. That integration layer is where a lot of homegrown AI projects die, and where ours live. ## Why we work remote-first with Ottawa clients Our base is in Foxboro, Ontario, and we work with DTC brands across Ottawa on a fully remote model. That matters for a few reasons. First, we're accessible. A Slack message or a Loom video gets a same-day response, which is faster than most in-person agencies we've competed against. Second, we're not bogged down in office overhead. The time we spend on your Ottawa project is spent shipping. We run kickoffs over video, hand off working prototypes inside the first two weeks, and iterate with your team asynchronously. For the Ottawa operators who've worked with us, the remote model has been a feature rather than a bug. They get senior builders instead of a local generalist, and the work ships faster. ## What an AI build actually looks like for DTC brands When people hear "AI system" they picture something exotic. In practice, the builds we ship for DTC brands in Ottawa are grounded and boring in the best way. A typical engagement looks like this. Week one is discovery. We sit with your team (over video), walk through how a lead, a client, and a job actually move through your shop today, and map the friction points. By the end of that week we've picked the one or two workflows where AI will pay for itself fastest. For most DTC brands that ends up being CS ticket volume or personalization at scale, because those are the places where time directly converts to revenue. Weeks two and three are build. We set up the integrations with Shopify or Klaviyo, wire in the AI layer, and get a working prototype in front of your team. You test it on real data, we tune the prompts and logic, and we handle the edge cases that always come up. By the end of week three you have a system that runs on your real workflows in your Ottawa operation, not a sandbox demo. Weeks four through six are rollout and handoff. We document everything, train your team, and stay on to monitor the first wave of production usage. If something misbehaves we fix it immediately, and we keep tuning until the numbers hit the targets we agreed on at kickoff. That cadence is how we avoid the classic trap of AI projects that take six months and ship nothing. Short loops, real data, and a bias toward getting something useful into your Ottawa team's hands fast. ## Who this is for We're a good fit for DTC brands in Ottawa that: - Have real operational pain that AI can actually solve, not just "we should do something with AI"
  • Are running a tool stack like Shopify, Klaviyo, Gorgias and want to get more out of it
  • Want a system built and handed off, not a five-year consulting engagement
  • Care more about outcomes than about which model we're using under the hood We're not a good fit for teams looking for a chatbot demo, an AI course, or a pitch deck about transformation. We build and we ship. ## Getting started The first step is a short discovery call where we map your workflows and identify the one or two places AI will have the biggest impact. From there we scope a focused first build, usually something we can deploy inside four to eight weeks, and we measure it against the numbers that matter to your Ottawa operation. If you're running DTC brands in Ottawa and you're tired of watching CS ticket volume and personalization at scale drag your week down, book a call. We'll tell you straight whether AI is the right lever for your problem, and if it is, we'll show you exactly what the first build looks like.

The AI workforce that handles this for your dtc brands business in Ottawa.

We don't build one giant AI bot. We build twelve specialists, each one trained on your dtc brands business in Ottawa and each one focused on a specific revenue leak. They work together as a team. You hire one or hire all of them. Here's what each agent does:

Riley, the AI Receptionist. Answers every call, qualifies the caller, books the job. 24/7.

Riley picks up the phone the moment it rings. She asks the right questions, looks up your calendar, and books the appointment before the caller has a chance to try the next contractor on Google. Every missed call becomes a captured job.

Plugs the missed calls leak. See Riley’s ROI calculator →

Cole, the AI Lead Closer. Responds to inbound web leads in under 60 seconds.

Cole is the first responder for every form fill, chat, or lead source. The second a lead lands, he's already replying in your voice with the right question, the right context, and the right next step. Response time goes from hours to seconds.

Plugs the slow follow-up leak. See Cole’s ROI calculator →

Ava, the AI Scheduler. Confirms, reminds, reschedules. No-shows go to zero.

Ava runs the calendar like a hawk. Day-before confirmations, morning-of reminders, and the second a customer says they can't make it she finds them a new slot before they ghost. Booked-to-completed ratio jumps.

Plugs the no-shows leak. See Ava’s ROI calculator →

Marcus, the AI Collector. Chases unpaid invoices. Polite. Persistent. Paid.

Marcus runs the AR follow-up your bookkeeper doesn't have time for. Day 1 friendly nudge, day 7 firmer reminder, day 14 escalation with a payment link. He recovers cash you'd otherwise write off and shrinks DSO.

Plugs the unpaid invoices leak. See Marcus’s ROI calculator →

Maya, the AI Support Agent. 24/7 customer service across web chat, SMS, and email.

Maya handles the customer service queue your team can't keep up with. She answers FAQs from your real knowledge base, processes refunds and returns, books rescheduling, and escalates only when a human truly needs to step in.

Plugs the support overload leak. See Maya’s ROI calculator →

Quinn, the AI Quote Closer. Sends quotes, follows up, recovers ghosted deals.

Quinn takes the quotes that went out and never came back. She runs a multi-week follow-up sequence built from what's actually closed your past deals, surfaces objections, and pulls ghosted prospects back into the pipeline.

Plugs the ghosted quotes leak. See Quinn’s ROI calculator →

Reese, the AI Onboarder. Walks every new customer through the first 30 days.

Reese owns the first 30 days. She welcomes every new customer, walks them through setup, checks in at the right milestones, and surfaces issues before they become churn. The customers who stick around are usually the ones who got onboarded right.

Plugs the early churn leak. See Reese’s ROI calculator →

Sage, the AI Reviewer. Asks every customer for a review. At the right moment.

Sage asks every customer for a review the moment they're happiest. She times the ask perfectly, sends through whichever channel they prefer, and routes negative feedback to you privately before it lands on Google.

Plugs the low review velocity leak. See Sage’s ROI calculator →

Drew, the AI Dispatcher. Routes incoming work to the right person, fast.

Drew triages every incoming job. He looks at location, skill required, tech availability, and customer priority, then routes it to the right person in seconds. Dispatch goes from a full-time job to a background process.

Plugs the dispatch admin leak. See Drew’s ROI calculator →

Beck, the AI Bookkeeper. Categorizes, reconciles, flags weirdness. Daily.

Beck handles the bookkeeping grind. He categorizes transactions, reconciles accounts, flags anything that looks off, and keeps your books month-end ready every single day. Your accountant gets clean data, your CPA bill drops.

Plugs the bookkeeping drag leak. See Beck’s ROI calculator →

Indi, the AI Marketer. Content, social, email campaigns. In your voice. At 5x output.

Indi runs the content engine. Blog posts, social, email campaigns, ad copy, review replies. She writes in your voice using your actual brand voice doc, ships on schedule, and measures every piece against real conversions.

Plugs the marketing bottleneck leak. See Indi’s ROI calculator →

Owen, the AI Reporter. Daily business dashboard, delivered to your inbox.

Owen pulls every number that matters every morning. Revenue, jobs booked, jobs completed, AR aging, lead source ROI, customer NPS. He delivers the dashboard at 6am so you walk into your day already knowing what's up.

Plugs the reporting drag leak. See Owen’s ROI calculator →

Every agent is custom-built around how your dtc brands business in Ottawa actually runs. The voice your phone agent uses, the questions it asks, the calendar it books into, the CRM it writes to, the pricing rules it follows: all configured to your operation. No generic chatbot energy. No off-the-shelf. The agents sound like you because they are trained on you.

Build with one agent first if you want to start small. Most clients pick the single biggest revenue leak (usually missed calls or slow follow-up) and ship that agent in 2 to 4 weeks. From there, the next agents stack on top because the foundation is already in place: the integrations, the knowledge base, the brand voice, the analytics. Each new agent is faster to build than the last.

Run the ROI calculator on every agent

Your AI Workforce

Twelve AI employees ready to plug into your business.

Voice receptionist, lead closer, scheduler, collector, support, plus 7 more. Each one trained on your business.

Meet the workforce

Common questions

Do you work with DTC brands outside of Ottawa?

Yes. Our base is in Foxboro, Ontario, and we work remote-first with DTC brands across Ottawa, the GTA, and beyond. The model is the same regardless of location.

How long does a typical first build take?

Most initial AI builds for DTC brands land in production within four to eight weeks, depending on integration complexity. We scope tightly so the first system is live and generating data before we expand scope.

Which tools do you integrate with?

For DTC brands we most often integrate with Shopify, Klaviyo, Gorgias, Attentive, Yotpo, plus email, SMS, and calendar platforms. Anything with an API is on the table.

What problems do you solve best for DTC brands?

The highest-return projects we ship tend to attack CS ticket volume and personalization at scale. Those are the workflows where AI delivers the fastest measurable wins for DTC brands in Ottawa.

Do we need a technical team on our side?

No. We handle the build, the integration, and the handoff. Your team needs a decision-maker who can give us access to the tools and sign off on what the AI does. That's it.

What happens after the system is live?

We offer ongoing tuning and monitoring, or we hand the system off fully documented if you prefer to run it in-house. Either way, you own the build.

How do you measure success?

We agree on two or three metrics upfront, things like response time, conversion rate, or hours saved per week, and we report against them. If the numbers don't move, we rebuild.

Want this built for your business?

Book a 30-min discovery call. I'll look at your current setup and tell you exactly which AI system would have the biggest impact for you.