Keven Ellison — Building an Agentic AI Company (While Everyone Else is Still Playing with Chatbots) | Teaching SMBs How to Actually Win with AI
Building an Agentic AI Company (While Everyone Else is Still Playing with Chatbots) | Teaching SMBs How to Actually Win with AI
Keven Ellison ranks #639 of 18,341 LinkedIn creators in Information Technology & Services, and is a standout voice in United States. They have 4.2K followers and published 41 posts in the last 30 days at a 1.4% average engagement rate.
- 4.2K followers
- 41 posts / 30d
- 1.4% avg engagement
- 176 follower growth / 30d
The roast
Keven claims he’s built an agentic AI organization that makes decisions without human oversight, yet he’s spent the last month screaming into his own LinkedIn feed just to get three people to acknowledge he exists. It’s comforting to know the future of business automation is just a copier salesman who finally figured out how to spam the entire internet at once.
About Keven
Most SMBs know they're falling behind on AI, but they don't know where to start without breaking what already works. You've probably felt this tension: Your competitors are talking about AI transformation, but every solution seems built for Fortune 500 companies. You need practical automation that actually improves your bottom line, not just impressive demos. Here's what I discovered after 30 years in business: The companies that survive disruption are the ones that build systems, not just adopt tools. At AIS, I'm not just implementing AI—I'm building the first Agentic AI Organization. This means AI agents that work together, automate workflows, and make decisions without constant human oversight. We're proving this works in a real business with real P&L pressure. What AIS has become in 2 years: → 20+ AI agents handling sales coaching, content strategy, customer onboarding, and process documentation → Automated workflows that eliminated 100+ hours of weekly manual work across 4 departments → AI-to-AI collaboration systems that scale knowledge without scaling headcount → From "traditional copier company" to official tech partner of the Vegas Golden Knights But here's the real breakthrough: This isn't just about AIS. It's about proving that any SMB can build an Agentic AI Organization if they have the right playbook. I work with business owners who are tired of AI consultants who can't show real implementation, marketing agencies that promise automation but deliver complexity, and tech vendors who treat AI like it's optional instead of inevitable. The truth? Your business is either becoming more intelligent through AI, or your competitors are. There's no neutral ground. If you're ready to stop watching from the sidelines and start building practical AI workflows that actually work in your business, let's connect. I'm currently developing the methodology into a teachable system for SMBs who want to build their own Agentic AI Organization. Want to see what practical AI transformation looks like? Message me "AGENTIC" or reach out directly: keven@ais-now.com
Highlights
- Consistent Creator — 41 posts in 30d · top 5%
- Top 5% in Information Technology & Services — Ranked #55 of 1900 creators
- Top 5% in United States — Ranked #233 of 5774 creators
- Top Engager — 1.36% rate · top 25%
Recent posts
The job title that's quietly eating three other job titles. Not a data scientist. Not a project manager. Not a product owner. Something newer, and honestly more dangerous to your current org chart. The AI operator. Here's what they actually do: 🔹 Map the real workflow end-to-end (discovery through post-launch analytics) 🔹 Document it as a repeatable playbook with inputs, outputs, and success metrics 🔹 Plug AI into the failure points: LLMs for research synthesis, AI coding tools for scaffolding, agents for testing and deployment 🔹 Wire the whole system so triggers fire automatically, wi
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The brain analogy for AI just got a lot less metaphorical. This is a bit technical so stay with me. Neuroscientists have a concept called the global workspace: a small shared channel in the brain where unconscious processing becomes consciously accessible, reportable, and usable across different tasks. It's why you can think about Paris and immediately retrieve its capital, its currency, and its continent from the same mental representation. Anthropic's new research found the equivalent structure in Claude. They're calling it the J-space. It wasn't designed. It emerged. And it behaves rem
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The U.S. government now has a seat at the AI release table. This is going to be a normal thing going forward, because these models are starting to become really strong. GPT-5.6 Sol just went public after White House-imposed delays. OpenAI ran it through a "trusted partner" review group first, with government visibility into who got access and when. That's new. And it has real implications for how you think about AI vendor risk. We're not in the era of "ship fast and see what breaks" anymore. The frontier model cycle now includes a government checkpoint. Anthropic got the same treatment. M
3 reactions · 1 comments · 0 reposts