MaiForge.ai

MaiForge.ai

MaiForge.ai

MaiForge.ai

About

Former Silicon Valley VP & Fortune 500 Lead Scientist

Enterprise-grade AI workflows for lean teams.

Woman with laptop
Woman with laptop
Woman with laptop

I have spent 10+ years building AI systems across Silicon Valley, Europe, and Asia —leading initiatives in startups and global enterprises that have reshaped how teams sell, support, and operate.

As a former VP of Operations in Silicon Valley and Lead Scientist at a Fortune 500 Enterprise, I understand both sides of the table: the daily pressure of running a business, and the engineering rigor needed to build reliable AI systems at scale.

Today, I operate as your Strategic Technical Partner. I bridge the gap between startup agility and enterprise scale, designing AI workflows for teams who aim for high performance while keeping their teams lean and focused.

My approach is hands-on: I map how your team actually works and diagnose the root causes of friction. I then translate these insights into Predictable AI Systems—delivered through secure APIs—that extend your bandwidth and create measurable impact on your profitability.

Proven Impact Track Record

$150M+ Value Unlocked
Annually across 5 markets by deploying predictive supply-chain models. 
1,000+ Hours Saved/Month
By AI-automating manual operations and support workflows

+12% Revenue & Retention
Delivered double-digit gains via intelligent AI Agent integrations.

My role is to stand beside you—asking clear questions about how your business really runs, turning the answers into reliable AI workflows, and keeping those workflows evolving as your company grows.

FAQs.
1. What problems do you actually solve with AI workflows?
2. Why is there a build fee and a monthly retainer? How do we measure ROI?
3. What does a typical project look like, and how long before we see value?
4. How is this different from just using ChatGPT, Zapier, or off-the-shelf tools?
5. How do you keep the AI reliable and on-brand, and avoid “hallucinations”?
6. What happens to our data? Is it used to train public AI models?
7. Who owns the AI system and the data?
8. Do we need an in-house technical or AI team to manage this?
9. Are we the right size / stage to work with you?
10. What do you need from my team to make this work?
11. Will this replace members of my team?
12. Why work with you instead of hiring internally or using a larger vendor?
1. What problems do you actually solve with AI workflows?
2. Why is there a build fee and a monthly retainer? How do we measure ROI?
3. What does a typical project look like, and how long before we see value?
4. How is this different from just using ChatGPT, Zapier, or off-the-shelf tools?
5. How do you keep the AI reliable and on-brand, and avoid “hallucinations”?
6. What happens to our data? Is it used to train public AI models?
7. Who owns the AI system and the data?
8. Do we need an in-house technical or AI team to manage this?
9. Are we the right size / stage to work with you?
10. What do you need from my team to make this work?
11. Will this replace members of my team?
12. Why work with you instead of hiring internally or using a larger vendor?
1. What problems do you actually solve with AI workflows?
2. Why is there a build fee and a monthly retainer? How do we measure ROI?
3. What does a typical project look like, and how long before we see value?
4. How is this different from just using ChatGPT, Zapier, or off-the-shelf tools?
5. How do you keep the AI reliable and on-brand, and avoid “hallucinations”?
6. What happens to our data? Is it used to train public AI models?
7. Who owns the AI system and the data?
8. Do we need an in-house technical or AI team to manage this?
9. Are we the right size / stage to work with you?
10. What do you need from my team to make this work?
11. Will this replace members of my team?
12. Why work with you instead of hiring internally or using a larger vendor?