Dependable custom agentic workflows for teams in Vancouver and beyond.
Build on 20+ years in engineering, data, and analytics to launch agent systems with the right connectors, observability, and operating structure from day one.
We turn agentic workflows into dependable operating systems.
The work is more than launching an agent. It is connecting the right data, permissions, observability, workflows, and people so the system performs well in the real world.
Dependable execution
We build agents with structured error handling, retries, and fallback paths so they keep work moving with confidence.
Scoped security
Every agent gets scoped tool access and permission boundaries so your team can automate with confidence.
Connected systems
We wire MCP connectors to the tools you already use -- BigQuery, GA4, Search Console, dbt, your internal APIs -- so agents can reach what they need on day one.
Clear audit trail
Full logging of what every agent did, when, and why. Clear records your team can review and trust.
Live observability
Structured logs, dashboards, and alerting so you can see what agents are doing and improve them quickly.
Ready to scale
Agents that handle concurrent workloads, queue management, and multi-agent coordination in production.
Accessible to operators
Non-technical team members get interfaces to configure, trigger, and monitor agents without touching code.
Confident team handoff
We train your team on the deployed system and hand off documentation so you own it after we leave.
Built for operators who want agents doing the work, not another vendor doing the talking
DigitalMachine.ai is where I deploy the analytics agents, SEO ingestion pipelines, and autonomous workflows that businesses need once they've outgrown dashboards and manual reporting. The focus is operational: deploy agents that run, not prototypes that demo.
20+ years of combined experience across software engineering, data infrastructure, and analytics -- from building BigQuery pipelines and dbt models to deploying production agent systems.
If your team is dealing with broken GA4 instrumentation, disconnected SEO data, brittle browser workflows, or needs MCP-connected agents wired into real operations — this is the work I take on. I'm based in Vancouver and deploy locally or remote.
What you can hire me for
Analytics and BI infrastructure audit
Audit your analytics stack -- GA4, BigQuery, Tableau, Power BI, Metabase, dbt models, raw SQL -- and organize it into something your team and your agents can actually use.
GA4 instrumentation and agent setup
Fix broken events and deploy analytics agents that continuously surface gaps -- not a one-time audit that goes stale.
SEO agents that run on schedule
Deploy ingestion agents that pull Google Search Console and GA4 data, flag anomalies, and keep organic performance visible without manual exports.
MCP agent deployment
Wire and deploy MCP-connected agents with the right tool access, context boundaries, and handoff logic for your operations.
Autonomous browser and task agents
Replace brittle copy-paste workflows with browser agents and scheduled task runners that execute without supervision.
Where the agents start running
Each service maps to live agents and autonomous workflows already deployed inside DigitalMachine.ai — not a roadmap or a pitch deck.
MCP Agent Deployment
Deploy MCP-connected agents that call the right tools, pull the right context, and execute tasks autonomously — not just generate recommendations.
- MCP tool and connector wiring
- Autonomous agent workflow deployment
- Live tool orchestration and handoff logic
Analytics Agents
Agents that ingest GA4, BigQuery, dbt, and product-event data, detect instrumentation gaps, and surface conversion bottlenecks -- running on schedule, not waiting for someone to pull a report.
- Automated GA4 and BigQuery audit
- dbt model validation and event mapping
- Agent-driven journey and conversion analysis
SEO Ingestion & Reporting Agents
Agents that pull Google Search Console and GA4 data on schedule, land it in BigQuery or your warehouse, and surface organic conversion failures before you have to ask.
- Automated Search Console and GA4 ingestion
- Agent-flagged ranking and traffic anomalies
- BigQuery and SQL-based reporting pipelines
Browser & Task Agents
Autonomous browser agents and scheduled task runners that handle data capture, form submission, and repetitive workflows without human intervention.
- Playwright-based browser agents
- Scheduled autonomous task execution
- Structured data extraction pipelines
Data & BI Infrastructure
Audit and organize your analytics stack across GA4, BigQuery, GCP, Tableau, Power BI, and Metabase. Clean up dbt models, fix SQL pipelines, and structure your data so agents and humans can both use it.
- GA4, BigQuery, and GCP pipeline audit
- Tableau, Power BI, and Metabase dashboard review
- dbt model and SQL pipeline cleanup
How agents get deployed
The goal is to get from vague frustration to autonomous agents running quickly: audit first, wire the stack, deploy agents that execute, and hand off a system your team owns.
Map the current system
Map tracking, data sources, and manual workflows to find the highest-leverage places for agents to contribute.
Wire the agent stack
Connect GA4, Google Search Console, BigQuery, dbt, browser agents, and MCP tools into an orchestrated system scoped to your operations.
Deploy agents that run
Ship live agents and scheduled workflows that execute autonomously — not prototypes that need hand-holding.
Hand off an owned system
Leave agents running with clear boundaries, documented handoff points, and monitoring your team can manage.