About
AI should work for your business, not the other way around.
Who We Are
PAID LLC (Performance Artificial Intelligence Development) was built on a straightforward idea: AI should work for your business, not the other way around.
Most businesses know AI is important. Few know how to make it actually useful. PAID LLC bridges that gap, helping clients understand what AI can do, identify where it creates real value, and implement it in ways that stick.
After nearly three decades in corporate America (eight years at AT&T spanning sales, collections, contact center leadership, and operations, and more than twenty years at Best Buy moving through accounting, financial analysis, and finance leadership), I had a clear view of how technology either accelerates or disrupts businesses depending on how well leaders understand it. When AI shifted from experiment to business reality, I kept seeing the same problem: powerful tools, no clear path from curiosity to results. PAID LLC exists to close that gap.
Our Approach
Results over theory
Every engagement is measured by business outcomes, not deliverables.
Clarity over complexity
We translate AI jargon into plain language and practical action.
Implementation over advice
We don't just recommend. We build and deploy.
Accessible AI
Effective AI strategy shouldn't require an enterprise budget.
AI and the Environment
What the numbers actually say.
The conversation is louder than the data. Here's what's real.
Myth
AI is an environmental disaster.
AI represents approximately 0.7% of global electricity consumption in 2026. Real cost, real growth. Not the crisis it's framed as.
Myth
More AI use means proportionally more energy consumed.
Between 2010 and 2018, global compute grew 550% and storage grew 2,500%, while data center electricity use rose only 6%. Efficiency gains consistently outpace demand growth.
Myth
AI has no environmental upside.
AI has the potential to cut more than 5 billion tons of CO2 across agriculture, transportation, and manufacturing. The IEA projects data center electricity to double by 2030. Whether that growth comes from fossil fuels or clean energy depends on how AI gets deployed.
Myth
Every AI query has the same footprint.
A standard query produces roughly 0.03 to 1.14 grams of CO2. A reasoning model chain can be 100 times higher. Model selection and task design are leverage points.
By the Numbers
33x
Energy reduction per Gemini prompt over 12 months (Google, 2024 to 2025)
25x
Energy efficiency improvement in current-gen GPUs vs. 2 years ago
2.5 to 3.7%
AI's current share of global greenhouse gas emissions
~60%
Projected data center energy growth from fossil fuels (Goldman Sachs Research)
PAID LLC helps businesses implement AI at the right scale for the right tasks. That's not just good ROI. It's how responsible deployment works.
Founder
Travis Raveling
Travis Raveling is the founder of PAID LLC and an AI consultant helping individuals and businesses put artificial intelligence to work. With a focus on practical implementation over theory, Travis specializes in translating AI complexity into clear strategy and real results.
A lifelong Minnesotan with degrees in Business Administration and Accounting, Travis brings a finance-first lens to every AI engagement, focused on outcomes that show up on the bottom line. Outside of work, he's raising five kids and spending time outdoors whenever Minnesota allows it.