Managed AI integration for energy operators.
We stand up AI tools beside your team, prove value read-only, train your people, hand off day-to-day use, and stay on for platform + managed service — so capability grows without surrendering control.
How engagement works
Not a deck and a handoff. A managed path from first pilot to a platform your team can run — with Brightwire retained for integrations, uptime, and evolution.
Stand up
Customer pod: data path, tools, and a scoped Phase 1 that is useful from day one.
Operate with you
Domain expert in the loop. Recs land in real workflows — email, SharePoint, ops tools — not a side chat no one opens.
Train & hand off
Your team learns the platform and takes day-to-day use. Confidence before any step-up in autonomy.
Retain
Platform + managed service: integrations, training, uptime, and continuous improvement — not a one-and-done project.
A smarter path to AI adoption
Most companies try to leap straight to autonomous AI — and stall. Serious operators don't start there. Our 4-phase model starts read-only, proves value, and expands control only when you choose.
Enterprise Chatbot
An AI assistant that answers questions from your existing documents. View-only access — immediate value from day one.
Gate: View only — no OT/write path in Phase 1. SSO, entitlements, logging, and citations still apply.
Self-Serve Dashboards
AI-powered analytics your team can query in plain English. Still view-only — but now your data tells its own story.
Gate: View only — queries your data; cannot modify, delete, or write.
Data Agents
AI monitors operations, spots anomalies, and drafts recommendations. Humans review and approve every decision.
Gate: You approve — AI recommends; your team decides.
Autonomous Actions
AI executes within defined guardrails. You set the boundaries; AI handles the rest. Full audit trail.
Gate: Hard limits — anything outside them escalates to a human.
Why most AI projects fail in energy
Companies that don't adopt AI will get left behind — competitors are already using it to cut costs, speed decisions, and run leaner ops. But jumping straight to autonomy is just as dangerous. Loss of control isn't science fiction; it's why serious energy teams stall. Failed AI projects waste money, erode trust, and set organizations back years.
There's a better path. Start with a view-only chatbot — query-only over a scoped corpus, no operational write path by default. Prove value when SSO and documents are ready. Build internal confidence. Then expand — one verified step at a time — with your operators still making the calls that matter.
A bounded Phase 1 (scoped corpus + SSO readiness) is designed to deliver practical value quickly — reliable search over procedures and ops data — without jumping to autonomy. The stack is usable today; most energy teams just haven't adopted it with the right control model yet.
What we do
Three services designed to meet energy companies wherever they are on the AI journey — always on the same platform path.
Phased AI Roadmapping
We assess where AI fits for energy operators and build a phased plan tailored to your team, data, and risk tolerance — Phase 1 first, with clear gates before any increase in authority.
Learn moreManaged AI Integration
We sit with your operators — not hand over a deck and disappear. Stand up the pod, run it with you, train, hand off day-to-day use, and retain on platform + managed service.
Learn moreStaff Enablement
Training and change management so your team stays in command of the tools. Confidence before autonomy — AI only works if people trust and use it.
Learn more
Why AI in energy is different
A generic IT consultant can deploy a chatbot — but they don't understand ERCOT market dynamics, NERC compliance, or how a real-time operations desk actually works. Energy companies need an AI partner who speaks their language.
We scope against systems energy teams actually run — SCADA/PI, ETRM, CMMS, filings, market settlement, generation forecasts — and integrate what your Phase 1 needs.
From day-ahead bidding to outage coordination, we build AI tools that fit how energy teams actually work — and embed them where work already happens.
Compliance, reliability, safety — we understand why energy companies need guardrails before autonomy, and we build that into every phase.
Ready to start where risk is lowest?
Book a free strategy session. We'll walk through your operations, map a view-only Phase 1, and show how control stays with your team as capability grows — no commitment, no slide dump.
Our Team
Operators, not AI tourists.
Brightwire is founder-led by people who were in energy data and markets before generative AI was a category. That’s why we start view-only and expand authority only when you’ve seen proof.
Casey Martinez
Co-Founder, Technical
Before “AI” meant ChatGPT, it was data science and machine learning. Casey wrote his first neural network in 2017 during his master’s — and has worked at the intersection of ML and energy systems since, through the hype cycle rather than because of it. At Brightwire he leads technical delivery: how models, data, and controls land in operator workflows without breaking trust or compliance.
Garrett Morrow
Co-Founder, Markets & Clients
Garrett spent a decade-plus on the commercial and operational side of power — markets, scheduling, and energy management — before co-founding Brightwire. He leads client engagement and commercial strategy, translating operator constraints into scoped Phase 1 work instead of generic AI theater.