advisoryaicontact
AI Consulting — Canada

canadian-builtaiconsulting.edmonton-based,nationallydeployed.

Data residency matters. Regulatory alignment matters. Working with a team that understands the Canadian mid-market landscape matters. Rockwell is that team.

whycanadianmatters.

Most AI consulting firms are US-based enterprise plays. They don't understand Canadian regulatory frameworks, they don't think about data residency, and they're built for Fortune 500 budgets. Canadian mid-market and growth-stage companies need AI partners that fit their scale and their reality.

  • Data residency considerations under PIPEDA and provincial privacy legislation
  • Familiarity with Canadian regulatory frameworks — FINTRAC, CSA, provincial requirements
  • Aligned time zones and working hours for embedded partnerships
  • Understanding of the Canadian mid-market landscape — the companies too big for off-the-shelf, too lean for enterprise consultants

whatwedo.

A comprehensive AI consulting practice built for Canadian companies.

Fractional AI officer

Embedded AI leadership at a fraction of a full-time hire. Strategy, roadmap, deployment, and monthly KPI reporting — the same team that defines the plan builds the system.

Custom AI agent development

Production AI agents connected to your existing systems via MCP. Built with security boundaries, model routing, and instrumented monitoring.

Compliance automation

AI-powered transaction monitoring, STR narrative generation, and regulatory reporting. CAMS-certified team with deep FINTRAC and PIPEDA knowledge.

Customer support & intake automation

AI diagnostic intake that scopes problems before a human touches them. Deployed across phone, web, and chat channels.

Business intelligence

A queryable AI layer across your CRM, project management, email, and accounting tools. Ask questions in plain English, get real answers in seconds.

Financial reporting automation

AI-powered bookkeeping, reconciliation, and period-end reporting. Built by a CPA who understands what controllers need and what auditors accept.

theteam.

is Edmonton-based with CPA, CFA, and CAMS credentials\u00a0\u2014 deep financial and regulatory expertise applied to AI strategy. leads engineering with production experience in multi-agent systems, MCP architecture, and security-first deployment. We\u2019re lean, senior, and hands-on. Our client industries span renewable energy, fintech, mechanical trades, and professional services across Canada.
CPACFACAMSEdmonton, AB
Luke ThibodeauCPA · CFA · CAMSFounder and CEO

Luke is a finance and compliance operator who works hands-on with bitcoin-native companies, fintechs, and MSBs as a fractional CFO and CCO through Rockwell Advisory Group. As former CFO & CCO of Bitcoin Well (TSXV:BTCW), he built and ran the finance, compliance, and governance functions across a publicly listed, multi-entity crypto company from the ground up.

Today he brings that same operational depth to clients navigating treasury management, FINTRAC compliance, financial reporting, and corporate governance. Whether it's standing up a compliance program for a new MSB, managing multi-entity consolidations, or advising on AI strategy through Rockwell AI, Luke operates as an embedded member of the team rather than an outside advisor. He also founded Comply+, a RegTech platform automating FINTRAC reporting for Canadian MSBs, born directly from the pain points he encountered building compliance workflows by hand.

Daniel FrazeeHead of Integration

Daniel is a technologist and operations leader serving as Head of Integration at Rockwell AI, helping companies turn AI strategy into working systems. As COO of Próspera, he built and scaled operations across a complex, multi-jurisdictional organization, managing everything from employment infrastructure to day-to-day execution across distributed teams.

Before that, he spent four years at Chevron as an IT professional, working inside the kind of large-scale enterprise systems where reliability and process discipline aren't optional. That combination of big-company engineering rigor and startup-stage operational ownership shapes how he approaches integration: grounded in real constraints, focused on outcomes, and built to hold up in production. Daniel holds a B.S. in Computer Science from Texas A&M University, with deep experience across software development, machine learning, and operations management.