User
Write something
🔒 Q&A w/ Nate is happening in 25 hours
Pinned
Want to get featured in front of 500,000+ people?
If you've sold an AI automation to a client, any tool, any industry, I want to hear about it. I'm collecting case studies to break down on the channel. This is your chance to build authority, get your brand out there, and showcase what you've built. 🎁 Bonus: I'll be analyzing all submissions and sharing the trends with you: what's selling, which industries are buying, and where the opportunities are. So even if you don't get featured, you'll benefit from the data. 👉 Fill it out HERE Takes 5 minutes. You can submit multiple projects.
Want to get featured in front of 500,000+ people?
Pinned
🚀New Video: How a College Student Made $500k with Cold Email (Exact Framework)
In this episode, I brought on Suvam. He generated over $500,000 in sales opportunities in six months using cold email as a beginner. The core lesson is to sell the outcome first and build after commitment. Suvam overcame the trust barrier with a zero-risk offer: doing the work for free in exchange for a case study reference. This worked so well that one free client became his first paying client and the social proof nearly doubled his reply rates. His playbook uses AI to find pre-filtered niche databases, not massive lead directories, and employs a simple 4-step automation for personalization at scale.
Pinned
🏆 Weekly Wins Recap | Feb 7 – Feb 13
Big contracts, First clients, Real cost savings.This week inside AIS+ was about execution over excuses. Here are a few standout wins inside AIS+ 👇 👉 @Glenn Marcus closed a $60K Agentic Engineering contract in 72 hours after launching his new agency site. 👉 Ai Stromae built an automation saving a client €30K per year - €1K paid upfront with referrals coming. 👉 @Mike Thomson landed his first real paying client through persistence and smart follow-ups. 👉 @Jeremy Aune closed his first AI voice assistant client - with expansion already in discussion. 👉 @Meir Heimowitz cut $1,400/month in business costs using Claude Code automations. 🎥 Super Win Spotlight: @Glenn Marcus | $60K in 3 Days Glenn launched his new agency site on Thursday. A friend forwarded it to a CEO. By Tuesday, a $60,000 contract was signed. But this didn’t happen overnight. Through AIS+, Glenn sharpened his thinking around real use cases, agentic systems, and applying AI to actual business problems - not just tools. That clarity gave him the confidence to pivot his consulting company into an Agentic Engineering firm. The result? Right message. Right positioning. Right timing. $60K in 72 hours. His story is proof that when preparation meets opportunity, things move fast. If you’re AI-curious or already building, this is what momentum looks like. 🎥 Watch Glenn share his story 👇 ✨ Want to see wins like this every single week? Join AI Automation Society Plus and turn learning into real outreach, real clients, and real momentum 🚀
🏆 Weekly Wins Recap | Feb 7 – Feb 13
Are You Measuring AI… or Just Deploying It?
Shipping an AI use case is easy. Proving it changed anything is not. Many teams celebrate deployment, but cannot answer a simple question: what operational constraint did AI remove? If cycle time, error rate, cost per transaction, or revenue per employee stay the same, you did not implement transformation, you added complexity. A serious AI audit traces impact from model output to business outcome, mapping handoffs, overrides, bottlenecks, and incentive conflicts along the way. If humans still recheck everything “just in case,” the system does not trust itself. And a system without calibrated trust does not scale. As AI Transformation Partners, we are not paid to launch tools. We are responsible for measurable constraint removal. No constraint removed, no transformation delivered.
1
0
Built a Simple AI Lead Qualification Workflow in Make.com
Today I worked on a small proof of concept for a B2B lead generation setup called NexaGrowth. The goal was to see how AI could quickly qualify incoming leads without adding complexity. The workflow starts with new leads coming in through a Google Form and webhook trigger. Once a submission comes in, the data is sent to OpenAI where the lead is analyzed to classify the industry, estimate company size based on the description, and assign a lead score from 1 to 10. That output is then structured cleanly and pushed into Airtable so the data is easy to review and filter later. If the lead score comes back as 8 or higher, the automation instantly sends a Slack notification so the team can act fast on high intent leads. Nothing fancy, just clean logic, clear prompts, proper data mapping, and basic error handling to keep the flow stable. This kind of setup is a great example of how AI can support lead qualification without replacing existing systems or overengineering the process. Simple automations like this often deliver the quickest wins.
1-30 of 13,249
AI Automation Society
skool.com/ai-automation-society
A community built to master no-code AI automations. Join to learn, discuss, and build the systems that will shape the future of work.
Leaderboard (30-day)
Powered by