I help enterprise CIOs, CDOs, and IT leaders move through fragmented data environments and promising ideas that have stalled before reaching production.

I've spent my career building and growing enterprise technology practices. At Mainline, I built the Business Analytics group from zero to $20M in five years. At Sirius, I grew the Big Data and Analytics group from $20M to $78M in under four years. Today, I lead the AI, Analytics & Automation practice I founded at LRS IT Solutions.

My work spans modern data platforms, enterprise AI, intelligent automation, observability, and FinOps. I am particularly interested in the distance between a compelling idea and something an organization can actually use.

marine-forecast: a live marine forecast for my home water, Charlotte Harbor and Pine Island Sound, published at weather.brianbeals.com. It parses the NWS coastal waters product into wind, chop, and storm-risk cards, adds tides, live station observations, and radar, and republishes itself through GitHub Actions after each forecast issuance.

sector-rotation-screener: an automated research project that scores 11 sector ETFs using seasonality, economic-cycle fit, and relative strength. It backtests the methodology, runs weekly through GitHub Actions, and publishes its results at sector.brianbeals.com.

The screener is an example of the analytical approach I value: combine multiple signals, make the reasoning visible, produce something useful to a human, and test the methodology before placing confidence in it.

brianbeals.com: the source for my personal site and writing, using Next.js and Vercel.

Not everything lives in a repo. Lobo, an always-on agent on a Mac mini, watches the deploys for all three projects above, retries transient failures, and texts me when something stays broken. It also reads a weekly legislative watch and texts the highlights, on its own iMessage identity. Built on OpenClaw with Claude doing the thinking; the setup produced an upstream bug report with a full reproduction (openclaw#99638), which is its own kind of contribution.

I do my best work where an enterprise technology practice or go-to-market motion is still taking shape: translating executive ambition into an executable roadmap, bringing emerging technology into practical use, and helping sellers have more substantive conversations with customers.

That has included data, AI, analytics, automation, seller enablement, and AI-readiness work with CIOs and CDOs across Fortune 1000 and mid-market organizations.

Find me on LinkedIn.