Generate personalized, multi-touch email sequences for enterprise SaaS sales in under 60 seconds.
Written to maximize deliverability and stay out of spam folders.
Personalization tokens highlighted so you know exactly what to edit.
Subject lines engineered to stop the scroll and prompt a response.
Top-performing sequence templates, reply rate benchmarks, and a subject line swipe file. Free.
Real sequences from enterprise SaaS sales teams, sanitized and anonymized. Use as inspiration, then build your own tailored version.
I have spent the last six years at the intersection of enterprise operations, AI deployment, and go-to-market strategy — first at McKinsey, then at Zip, one of the leading AI procurement platforms in the US.
At McKinsey, I worked directly on AI deployment and supply chain transformation for companies like Boeing, Daimler Truck, and LITEON Technology. I supported semiconductor supply chain onshoring strategies aligned with US manufacturing priorities, and helped deploy GenAI-powered copilots across global industrial operations.
At Zip, I lead the go-to-market strategy for AI agents embedded in enterprise procurement workflows — helping companies like Raytheon, Shell, Visa, and JPMorgan Chase apply AI to core operational decisions rather than isolated experiments. I also shaped Zip's Risk Orchestration product, which helps enterprises manage third-party and supplier risk at scale — including screening for China-based supplier dependencies that may affect US national interest.
But what drives me most is a different problem entirely: the AI adoption gap between large enterprises and everyone else.
A Fortune 500 company has a TPRM team, a dedicated procurement function, and a six-figure AI budget. A mid-size manufacturer in Ohio, a healthcare startup in Texas, a logistics company in Georgia — they do not. They are trying to compete with one hand tied behind their back.
I built SequenceAI because I believe the same AI capabilities that help enterprise sales teams at Gong, Ramp, and Brex should be available to every BDR, every founder, every small business trying to grow. This tool is one piece of that — a proof of concept for what it looks like when enterprise-grade AI thinking is democratized and made accessible at zero cost.
The broader mission is to build AI infrastructure that bridges this gap across industries — from procurement automation to sales intelligence to risk management — and to do it in a way that specifically strengthens American businesses competing in an increasingly automated global economy.
A Fortune 500 company has dedicated AI teams and seven-figure budgets. A mid-size manufacturer in Ohio or a logistics company in Georgia does not. SequenceAI gives every US business access to the same AI-powered sales intelligence that enterprise teams use — at zero cost.
This tool was built by someone who has deployed real AI agents inside Raytheon, Visa, and JPMorgan Chase — and studied what makes enterprise AI actually work versus fail. That institutional knowledge is baked into every sequence the tool generates.
American BDRs and AEs compete globally. Better outreach tooling — especially AI that understands enterprise buying patterns — directly improves pipeline generation and revenue for US-based sales teams and the companies they represent.
SequenceAI is the first in a series of tools designed to bring enterprise AI capabilities to individual contributors and SMBs. The roadmap includes procurement risk agents, supplier screening tools, and AI-assisted operations — all built on the same principle: make what only large enterprises can afford available to everyone.
Feedback from sales leaders, procurement experts, and AI practitioners who have evaluated the tool and its approach.
Luhua brings a rare combination: deep enterprise AI deployment experience from McKinsey-level engagements, and the product intuition to translate that into something every sales professional can use. The approach here — deriving intent from context rather than templating inputs — is genuinely more sophisticated than what I have seen from most funded AI sales tools.
The democratization angle is real and important. Mid-market and SMB companies in the US are trying to compete with enterprises that have full AI stacks. Tools like this — built by someone who actually understands how enterprise AI gets deployed, not just how to wrap an API — close that gap in a meaningful way. I have referred this to four sales teams in my network.
As someone who has evaluated dozens of AI sales tools, what stands out here is the underlying reasoning layer — it does not treat the user's input as something to paste into an email. It interprets it and rewrites it the way a senior rep would. That is a meaningfully different technical approach and it shows in the output quality. This is the kind of applied AI work that US companies need more of.
Analyzing your buyer, industry context, and campaign angle to write emails that actually land.