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We have exciting news coming next week...stay tuned! 👀 🥳 🕺 💃

The AI Confidence Crisis: Why 92% of C-suite Leaders are Confident in AI ROI, but 75% Lack the Governance to Prove It. A dangerous AI maturity gap is defining the enterprise landscape in 2026. While 92% of C-suite leaders express full confidence in AI ROI, 75% lack the governance frameworks, and 58% cite unclear ownership as barriers to measuring performance. The technology is rarely the bottleneck. Success hinges on governance, ownership, infrastructure, and a willingness to redesign work. We introduce a practical 5-Level AI Maturity Framework to help leadership assess where their organization stands and understand the specific shifts required to advance. Read the first installment of our series to learn: ➡️ The critical distinction between Generative and Agentic AI ➡️ The risks of the Shadow AI vulnerability ➡️ The complete 5-level framework for self-assessment 🔗 Find out how to move your enterprise from pilot purgatory to systemic AI value: https://bit.ly/3Rip9tf

4 days left to build a human-in-the-loop automation for this month's n8n Community Challenge. Scale a creative team's content pipeline while keeping people in control. Winning workflows get added to the n8n Template Library for the entire community to find, use, and download. Top builds also get featured on the Community Livestream. Pick your approach, build something cool, and submit before May 25. Link to sign up in the comments. 👇 #n8nchallenge

Speed up your flowgramming with keyboard shortcuts in n8n. Right-click anywhere on the canvas to see available shortcuts and move through workflows faster. Got a favorite shortcut or hidden trick? Drop it in the comments. 👇

Most AI workflows fail at the integration layer — not the model itself. This new article breaks down the 4 LLM integration patterns that show up in most production systems: → Chained requests → Single agents with tools → Multi-agent gatekeepers → Multi-agent teams Including where each pattern works best, where it breaks down, and the tradeoffs around latency, debugging, and scalability. If you're building AI workflows in production, this is worth bookmarking:

From the n8n canvas to Microsoft Teams with Microsoft Agent 365 With Microsoft Agent 365 generally available, n8n users can now build agents that show up as members of the team in Microsoft 365 applications. Microsoft handles access and compliance by giving agents and identity that you can @mention or email from Microsoft Teams, Outlook, SharePoint or Word. n8n is where you design what the agent does: its system prompt, the tools it calls, the logic that ties them together, and the actions it takes across the rest of your stack. Get full event details here: https://luma.com/p6htk2bp

This week’s featured n8n template helps legal and compliance teams automate one of the most time-consuming parts of their work: document review. The workflow extracts contract text, analyzes clauses with AI, checks compliance standards, suggests alternative wording, and generates summary reports automatically. It includes AI-powered clause analysis with OpenAI, compliance checks and risk flagging, automated summaries and stakeholder notifications, plus a flexible setup using Google Sheets, Gmail, or your own database. 🔗 Explore this template here: https://bit.ly/4ujeiO2