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Of petroleum companies still rely on manual processes for month end accounting cycles, creating 2 to 3 week delays in cash flow reporting
Take the Lomo AI Readiness Assessment and receive a custom breakdown of where AI systems can reduce manual work, improve safety compliance, increase operational efficiency, and create more operational leverage across your company.
Built on
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Bids, proposals, and contract inquiries get lost in email chains or busy phone lines. AI agents catch every lead and ensure timely responses around the clock.
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Data entry, compliance checks, and inventory management consume valuable time for your engineers and admin staff. AI agents run these workflows end-to-end, freeing your team for critical tasks.
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Follow-ups on project updates, safety reports, and service inquiries often fall through the cracks. AI agents handle outreach, triage, and replies to maintain client satisfaction.
A personalized report built from your responses, showing where AI can create the most value in your business.
Your overall score and what it means.
See how you compare to similar companies.
Strategy, Data, Talent, Infrastructure, Culture, and Execution.
Your highest-leverage workflows and agent ideas.
Where to start and which agents to build first.
A practical roadmap for the first quarter.
Why now
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Of petroleum companies still rely on manual processes for month end accounting cycles, creating 2 to 3 week delays in cash flow reporting
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Regulatory compliance costs petroleum operators an average of $847,000 annually per 100 wells, with 23% of violations resulting from missed filing deadlines
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AI automation in petroleum back office operations delivers 10% to 30% cost reductions while improving processing accuracy to above 95%
Our AI Readiness Assessment identifies the workflows in your petroleum company that are most ready for AI, from drilling optimization and reservoir modeling to supply chain management, safety compliance, predictive maintenance, and operations.
2 questions. Your number in 10 seconds.
Question 01 / 02
What we'd build
Four examples of AI operations we'd install inside a operation. Tap any card to see how it runs.
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How we work with petroleum companies
We embed a fractional AI team inside your operation to build, deploy, and operate the systems identified above. 90 day cycles with measurable outcomes.
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Two weeks. We map your workflows, identify the highest ROI AI opportunities, and deliver a prioritized deployment roadmap. Four hours of your time.
See how the Sprint works02
A fractional Chief AI Officer plus implementation team inside your operation. We build the systems, train your people, and run them until they compound.
See how Transformation works03
Structured AI fluency programs built for petroleum companies. Your team learns to operate and extend the systems we deploy, not rent them forever.
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Start with a 3 minute AI audit, or book a strategy call with our team. We will walk through which use cases make the most sense for your operation specifically.