Renewable Energy AI

solarcompaniesrunonprocess.aimakestheprocessrunitself.

Permitting across multiple jurisdictions. High-volume maintenance calls. Sales, operations, and project data scattered across platforms that don't talk to each other. Every installer in the country faces the same complexity — and its been uneconomical to have something purpose-built for it. Until now. Rockwell is not another SaaS company, we purpose build bespoke solutions to automate your unique processes with artificial intelligence.

thecomplexity.

Solar companies scale on process — permitting, installation scheduling, maintenance routing, invoicing. But every jurisdiction has different requirements, every maintenance call starts with the same vague description, and pulling a cross-platform answer means hours of tab-switching across tools that were never designed to work together.

Multiple jurisdictions with different permitting requirements and document formats
High-volume maintenance calls with repetitive diagnostics that consume skilled technician time
Data scattered across CRM, project management, document storage, and accounting systems with no unified view
Manual document checking that delays permitting approvals by days or weeks

theplaybook.

We're actively working within the industry. These solutions are built from real operational complexity in the renewable energy industry.

Permitting automation

Document completeness checks that catch missing-info delays before they hit the permitting desk. Multiple jurisdictions, each with different requirements — AI handles the variance so your team doesn't have to memorize every municipality's process.

Diagnostic maintenance intake

AI-guided troubleshooting before a human touches the ticket. Customers walk through targeted questions, get basic fix recommendations, and submit a fully scoped maintenance request.

Cross-platform data layer

A queryable AI layer across your CRM, project management, document storage, and accounting systems. Ask "What's the status of every project in the current queue?" and get a real answer in seconds instead of a scavenger hunt.

Compliance & safety documentation

Automate safety requirements analysis and document routing. Reduce the manual overhead of compliance documentation across jurisdictions and regulatory bodies.

firstmover.

We're actively engaged within the industry — mapping permitting workflows, scoping documentation automation, designing diagnostic intake systems, and architecting unified data layers across fragmented platforms. There is almost zero competition for AI purpose-built for the solar industry. Rockwell is building the playbook in AI purpose-built for the solar industry.

theteam.

brings CPA, CFA, and CAMS credentials to AI strategy — he understands the business problems before reaching for the technology. brings deep engineering experience in production AI systems. Together, that’s the full stack: someone who knows what to build and someone who knows how to build it.

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.

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