How to Build Agentic AI with LangGraph Tutorial

96% of AI pilots fail. Let that sink in. Not because the technology doesn't work. But because organizations skip the foundation. Here's what the successful 5% do differently: ✅ They conduct AI readiness assessments before scaling ✅ They invest in structured training programs ✅ They focus on high-ROI use cases (not flashy demos) ✅ They measure what matters (revenue, efficiency, quality) ✅ They expect the J-curve and plan for it The difference between AI success and failure isn't budget or team size. It's approach. Our new free guide reveals the complete roadmap: "Artificial Intelligence, Real Results" 4 weeks. Real strategy. Zero fluff. Download now 👉 https://lnkd.in/gGNEnyvE

Most organizations jump straight into tools before they’ve built the foundation. AI success starts with alignment — strategy before automation, clarity before code. AEO is the next frontier. But it’s not about gaming algorithms — it’s about teaching systems to understand structured intent and deliver real outcomes. Great read from the team here at BRANDefenders on building AI that actually works.

Every AI vendor demo follows the same script: "Here's what our AI can do." "Here's how accurate it is." "Here's how smart it sounds." What they don't say: "Here's when you can actually use this." Because impressive demos don't solve the integration problem. Features get you excited. Integration gets you to production. What's the longest you've waited for an AI pilot to go from demo to production?

🚀 Episode 1 of Inside AI Agents is live! When should you actually use an AI Agent? In this first episode, we break down how to identify the right use cases - where automation alone isn’t enough, and intelligence makes all the difference. This isn’t about replacing people. It’s about designing systems that can think, plan, and act - just like an effective teammate would. If you’re curious about building or integrating AI Agents into real workflows, this series is for you. 🌐 aipods.scriptshub.net 📩 Contact us: info@scriptshub.net #AIInnovation #ArtificialIntelligence #AIAgents #IntelligentAutomation #AIArchitecture #ScriptshubTechnologies

AI in financial services is transitioning from automation to autonomous systems. We’re moving past tools that only execute rules toward systems that can reason, act, and adapt within guardrails. But unlike a sudden leap, it’s a gradual shift that will unfold in stages. Here’s a 4-stage model that simplifies this evolution: From rule-based automation, to pattern-driven assistance, to contextual reasoning, to adaptive agentic systems. A simple way to think about where autonomy starts to create real business value. 📄 Explore the 4-stage AI Autonomy Spectrum below. 👇

Generative AI is like a GPS — it gives you directions. Agentic AI is like a driver — it actually takes the wheel and gets you there. That’s the fundamental shift in commerce media. In this LinkedIn Live, CEO Diaz Nesamoney joined Peter V.S. Bond & Sri Rajagopalan from The CPG Guys to discuss how agentic AI moves beyond assistance to autonomous action—navigating the complexity of multiple retail media networks that traditional software can’t solve. Watch the full conversation here ▶️ https://bit.ly/3UNeXaw Learn more about DaVinci Commerce at https://bit.ly/4qrXQtq

🧰 DIY Your Follow-Ups — How Copilot Builds Emails That Work Like Magic Isaac Newton experimented with light; you can experiment with AI light-speed emails. Watch Copilot build personalized follow-ups in seconds and reclaim your day. #EmailAutomation #DIYProductivity #MicrosoftTeams #CopilotAI #SCALEHound #AIAssistant #OfficeAutomation #DigitalWorkflow #AIProductivity #TimeSavingTools

🧰 DIY Your Follow-Ups — How Copilot Builds Emails That Work Like Magic Isaac Newton experimented with light; you can experiment with AI light-speed emails. Watch Copilot build personalized follow-ups in seconds and reclaim your day. #EmailAutomation #DIYProductivity #MicrosoftTeams #CopilotAI #SCALEHound #AIAssistant #OfficeAutomation #DigitalWorkflow #AIProductivity #TimeSavingTools

Most enterprises aren't struggling to start with AI anymore. They're struggling six months in. The pilot works. The team is excited. Then comes the hard part: rolling it out across departments, maintaining it as models drift, ensuring it complies with regulations that weren't written for AI, and proving it's actually delivering ROI, not just generating dashboards. We've watched dozens of AI initiatives stall at this exact stage. Not because the technology failed, but because the infrastructure around it couldn't keep up. The companies that make AI work long-term aren't the ones with the flashiest demos. They're the ones who figured out how to govern it, maintain it, and scale it without creating chaos. That's the problem Syntes was built to solve. In addition to getting AI off the ground, we deliver sustained value across the organization.If your team has successful pilots but you're hitting friction at scale, let's chat and show you how it works in a short demo https://hubs.li/Q03ScFDn0 #EnterpriseAI #AIGovernance #DigitalTransformation

The 3-Stage AI Readiness Framework (Part 2/3) Did you escape POC Purgatory by establishing your Foundational Readiness? Great. Now comes the stage where most promising AI pilots fail: Validation. Scaling your AI from a test environment to a production environment requires brutal honesty about performance and user trust. Don't let a "successful" pilot become a dead-end project. Swipe to see the 3 Critical Validation Pillars in STAGE 2. 👇 Follow @DreamLogicX for Part 3 on Scalability & Governance! #AIReadiness #ConsultingBlueprint #AIViolation #ValidationStage #DreamLogicX