Nate B. Jones calls it the trillion-dollar agentic workflow opportunity.
In Episode 21 of AI, Actually, our team gets into what that actually takes inside an enterprise.
A few takeaways 🧵👇
#AIActually#EnterpriseAI
Shanti Greene's rule for agents: done or not done. There is no in between. An agent that gets 95% of the way there still burns tokens for zero value. Knowing when you are close is the next frontier. #AIAgents
Plus what "system of record as a service" means for SaaS, and why the work has shifted to harness engineering.
Episode 21 marks the debut of Ada Gil with Pete Reilly, Shanti Greene, and Mike Finley.
youtu.be/BAy6dlgqR30?si=G-kh…#AIActually#EnterpriseAI
The gap between AI winners and everyone else isn't compute power or budget. It's how they build.
Episode 20 of AI, Actually breaks it down.
Watch it at the link below.👇
youtu.be/8xNDaPrYvw8?si=ZWiY…#EnterpriseAI#AIStrategy
Your AI doesn't know what "revenue" means at your company. Or who needs to be looped in. Or how your teams actually use data.
That's the problem the semantic layer solves. 🧵
As Ben Titmus puts it in Ep. 20 of AI, Actually: "The semantic layer is the language your AI needs to understand your business."
Think of it like onboarding a new hire. You wouldn't just throw them in and say good luck.
AI deserves the same onboarding a full-time hire would get. Context, structure, and a clear picture of how your business actually works.
Without it, you get a smart tool that doesn't understand your world.
Full episode: bit.ly/4nB0tIw#AIActually#SemanticLayer
The AI conversation usually starts at the top.
Michelle Hamilton, our AI Adoption & Change Management Practice Leader, thinks that's the wrong place to start.
Her episode of Lunch with Leaders is one you won't want to skip.
🎧 on Spotify & Apple Podcasts
#AIAdoption
Stop shopping for the perfect AI coding model. Pick one. Learn it deeply.
Our latest blog benchmarks the major players on cost, correctness, and when to use what.
👉 answerrocket.com/code-faster…#EnterpriseAI#AITools
"We've exchanged one lazy proxy for another: laying off people and blaming AI."
Andy Sweet in @stlmag on why the real AI opportunity isn't headcount cuts. It's redeployment.
Link to blog in the comments.
#EnterpriseAI#AIStrategy
ALT Graphic by Yana Lobenko / iStock / Getty Images Plus
The best forward deployed engineers don't just solve your problem. They generalize it so the solution scales to the next 5 customers too. That's the flywheel. Stew Chisam on what "engineering" actually means in AI deployment.
Blog link in comments.
#AIActually#EnterpriseAI
AnswerRocket now has 14 Claude Certified Architects, formally vetted by Anthropic Academy. T
hat means faster timelines and fewer costly missteps for the enterprise leaders we work with.
answerrocket.com/anthropic-p…#EnterpriseAI#Anthropic#Claude
78% of employees are using their own AI tools at work.
Only 30% have company guidelines.
Our CTO Mike Finley writes in @RTInsights: the root cause isn't recklessness, it's impatience.
The answer is getting ahead of it.
Full piece: bit.ly/3QY1yxx#ShadowAI
"If a company blames AI for their layoffs, that's a huge red flag. You couldn't find a creative use for those people? That's not an efficiency win. That's laziness." — Andy Sweet at #GatewayToInnovation 🧵
Enterprise AI doesn't have a technology problem. It has an imagination problem. The best companies are using AI to open new doors, not close them.
Watch the clip below 👇
Catch the full session here: bit.ly/4sNP1Kp#EnterpriseAI#AIStrategy#AIGovernance