I help Vancouver-area SMB operators fix tracking gaps, understand where conversion breaks, and put AI and MCP-enabled workflows to work on real operations. No generic AI strategy deck. No platform theater. Just concrete systems work tied to reporting, automation, and execution.
DigitalMachine.ai is where I package the analytics, reporting, and automation work I do for businesses that have already outgrown generic advice. The focus is practical: fix instrumentation, expose real performance, and build workflows that reduce manual work.
If your team is dealing with unclear GA4 reporting, disconnected SEO data, messy browser-driven workflows, or early MCP planning, this is the kind of work I take on. I'm based in Vancouver and can work locally in person, with remote delivery still available when that fits better.
Fix incomplete events, inconsistent naming, and reporting dead ends before more dashboards get built on bad data.
Get query, landing-page, and organic-conversion visibility without stitching exports together by hand every week.
Figure out which tools should be callable, what context they need, and where the model should stop and hand off.
Replace copy-paste workflows and brittle browser tasks with something documented, repeatable, and owned.
These are the consulting tracks behind DigitalMachine.ai today. Each one is tied to real platform capabilities already running in the product, not a speculative roadmap.
Design and wire MCP-connected workflows that let models call the right tools, pull the right context, and do useful work instead of producing theater.
Turn GA4 and product-event data into usable decision support. I focus on instrumentation gaps, conversion bottlenecks, and reporting that operators will actually use.
Connect Search Console and GA4 data into reporting that shows what is ranking, what is landing, and where organic traffic is failing to convert.
Use browser automation and task orchestration to remove repetitive work, collect structured data, and keep brittle manual steps out of core operations.
The goal is to get from vague frustration to an owned system quickly: audit first, connect the right tools, ship something useful, and leave a setup your team can run.
Review tracking, reporting, data sources, and manual workflows to find where the signal breaks down.
Tie together GA4, Search Console, browser automation, and MCP-accessible tools around the actual problem.
Deliver working reports, automations, or agent flows that reduce manual work and sharpen decisions.
Document the approach, expose the live tools, and make sure the system can be run without babysitting.