AnswerRocket

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

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.

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. 🧵

Episode 20 of AI, Actually is live and we're talking about data, the lifeblood of AI. Not "is your data perfect?" Not "just throw it all at the LLM." The real answer lives somewhere in between. 🎧 youtu.be/8xNDaPrYvw8?si… #AIActually #EnterpriseAI #DataStrategy

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-wi… #EnterpriseAI #AITools

Token costs are blowing up enterprise AI budgets. Our Head of Data Science, Shanti Greene (@TheAIDataExec), shared his tips for keeping usage efficient in this @ITBrew piece worth bookmarking. itbrew.com/stories/2026/0… #EnterpriseAI #AIStrategy

"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

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-part… #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

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

"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 🧵

Episode 19 of AI, Actually is live. Join us as the team discusses if "forward deployed engineer" the right term, or is it getting in the way of the real conversation? Full episode: youtu.be/ZKsU3-Pn7hY?si… #AIActually #EnterpriseAI #FutureOfWork

Some employees are thriving with AI. Their companies? Still in pilot mode. Episode 18 of AI, Actually explores the adoption gap and what it takes to close it. 🎙️ youtu.be/fF24RXsoCjY?si… #AIActually #EnterpriseAI

Blocking AI tools isn't the safe play. It's the highest-risk option. Mike Finley on shadow AI, why it's already inside your org, and how to get ahead of it. 🔗 thefastmode.com/expert-opinion… #ShadowAI #EnterpriseAI

We're speaking at Gateway to Innovation in St. Louis on April 16. Session: "AI Doesn't Have a Technology Problem. It Has a Partnership Problem." Join us at 10:45am, St. Charles Convention Center. #EnterpriseAI #GatewayToInnovation g2iconference.com

Models will get better. That's a given. But context is still a precious resource, and getting it right is a skill that compounds over time. Mike Finley on why the teams investing in context will have a durable edge. #EnterpriseAI bit.ly/3PMSUBJ