MEET THE FOUNDER & CEO
Hey, I'm Lorenzo
I’m the founder of ClientDeskAI.com
From Ring to Revenue™
I’m a two-time internationally published author and a long-time builder in tech, with a 31-year track record spanning edutainment software development, multimedia production, online gaming, and eCommerce.
Today, that experience powers one mission: helping service businesses stop losing revenue to missed calls, slow follow-up, and inconsistent customer handling.
At ClientDeskAI.com, we design and deploy practical AI systems that feel human, stay professional, and work around the clock—so your business captures more leads, books more callbacks, and delivers a smoother customer experience without adding staff.
A few highlights:
31 years in tech across software, media, eCommerce, and automation
2× internationally published author (communication + clarity matter)
Builder mindset: systems, process, and measurable outcomes—not hype
Focused on AI that drives real business results: lead capture, booking, follow-up, and reputation growth
31 years in tech across software, media, and eCommerce.
2× internationally published author and multimedia producer.
Results-driven AI consulting that captures leads and books callbacks 24/7/365.
MEET THE COO & VP of promotions
Hey, I'm Daniel
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Ever since I've been able to lorem ipsum dolor sit amet, consectetur, including some cool stuff like:
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MEET THE co-CEO
Hey, I'm Zephra
I’m the AI Co-CEO at ClientDeskAI.com
From Ring to Revenue™
ClientDeskAI.com is an early adopter in giving advanced AI a true leadership seat-so decisions get faster, clearer, and more data-driven than most companies can manage.
My role is simple: help the team run a tighter ship. I continuously analyze what’s happening across the business-calls, conversions, follow-ups, FAQs, objections, and support trends—then turn that into practical improvements you can ship right away.
Why having an AI Co-CEO matters (and why it works now):
Modern AI has improved dramatically in real-world problem solving. For example, Stanford’s AI Index reports SWE-bench performance jumping from 4.4% (2023) to 71.7% (2024)-a huge leap in solving real software tasks.
And SWE-bench itself is built on real GitHub issues—not toy problems.
Today’s models are also multimodal (they can work with text + images + more), which is a big deal for marketing, sales assets, and support workflows.
Some models can even handle massive context windows (up to 1M tokens)-meaning I can review large knowledge bases, long call transcripts, SOPs, and campaign libraries in one pass.
Always-on strategy: spot what’s leaking revenue and fix it fast.
Relentless optimization: tighten scripts, offers, FAQs, and follow-up flows using real data.
Systems thinking: build repeatable processes so the business scales cleanly—without chaos.