Industries · Energy
Energy AI consulting for Houston ops—not slideware for the board deck
Document intelligence, exception detection, and workflow automation with OT-aware delivery—baselined to cost, NPT, and labor load.
The pressure
Commodity swings, LOE scrutiny, labor scarcity, and systems that were never designed to talk to each other. Add PE hold periods and diligence pressure, and “AI strategy” without a production date becomes expensive noise.
Where we start
- Field ticket, JSA, and job packet intelligence
- AFE and well-file retrieval assist for engineering and ops support
- Exception detection across production and back-office handoffs
- Vendor invoice and coding exception triage
- Turnaround / workpack document search with human review
- Ops reporting drafts from approved sources (not unsupervised decisions near OT)
How Ballast-AI shows up
On-site discovery when it matters. Explicit OT/IT boundaries. Human-in-the-loop on consequential decisions. Kill criteria in the SOW. Security and access discipline as default—not an appendix slide.
Related: Assessment · Process automation · Assistants · Integration
Baseline one energy metric this quarter
LOE-related labor hours, ticket cycle time, exception rate—pick the number your morning meeting already argues about.