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Companies are spending around $897 million per year on agentic AI, with the market expected to explode to more than $15 billion by the mid-2030s
Take the Lomo AI Readiness Assessment and receive a custom breakdown of where AI systems can reduce manual work, improve project forecasting, increase customer engagement, and create more operational leverage across your company in New York.
Built on
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New project inquiries, partnership proposals, and grant applications get overlooked during busy seasons. AI agents catch every lead, ensuring no opportunity slips through the cracks.
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Site assessments, equipment orders, regulatory compliance, and reporting tasks consume valuable team hours. AI agents manage these workflows end-to-end, freeing your team to focus on innovation.
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Follow-ups on proposals, maintenance reminders, and customer feedback get lost in the shuffle of project deadlines. AI agents handle outreach and communication, enhancing client satisfaction and retention.
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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Companies are spending around $897 million per year on agentic AI, with the market expected to explode to more than $15 billion by the mid-2030s
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Over 80% of business leaders expect AI agents to expand workforce capacity and be integrated into strategy within the next 12 to 18 months
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An operator may require 10 to 15 minutes to process a single invoice manually
Our AI Readiness Assessment identifies the workflows in your renewable energy company that are most ready for AI, from energy forecasting and project design to asset management, maintenance scheduling, regulatory compliance, 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 renewable energy companies
We embed a fractional AI team inside your operation in New York 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 renewable energy companies. Your team learns to operate and extend the systems we deploy, not rent them forever.
Training programsOther markets
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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 in New York specifically.