LinkedIn video ad examples

Who owns knowledge at your company? If it’s everyone, it’s no one. In IDC’s study of 520 enterprises, 55% of leaders centrally mandate knowledge management. Among everyone else, it’s 11%. That ownership gap shows up in results: leaders get nearly 2X the AI ROI from their knowledge programs. See how your organization compares. 8 questions, about three minutes, benchmarked against all 520.

IDC studied 520 enterprises. Those with leader-tier knowledge programs get nearly 2X the AI ROI. It starts with people and structure. 55% of leaders centrally mandate knowledge management, vs. 11% of everyone else. 60% have knowledge-engineering skills on staff, vs. 26%. Where does your organization land? Take the 8-question KM maturity assessment and get your tier, benchmark and roadmap in about three minutes.

Introducing CodeRabbit Skills 🐰 Giving 35+ AI agents code review abilities. Just ask: > Review my code > Check for security issues > Run a code review > Review my PR (repo link below!) https://lnkd.in/eCFmb9QJ

Attackers use AI to find vulnerabilities faster. Your defenses should too. Introducing CodeRabbit Security. Map out your repository, hunt vulnerabilities in production code, verify each against real code, and ship fixes as PRs.

Hear from a Canva Verified Expert on how to build, draft, and launch LinkedIn ads without leaving Canva.

PayPal API data in, a drag-and-drop dashboard out. See the AG Studio config that joins invoices, customers and payments.

One wrong answer can quickly turn into a compliance problem, not a support problem. Green Feather runs 4 online casino brands across seven markets with one agentic AI platform that handles each country's rules and regulations. Compliance rules live in their knowledge base, scoped to the right player groups, and cases that need judgment go to their team to ensure safe gaming stays intact. Read the full story of how they built it 👇

Dashboards shouldn't feel bolted on. With AG Studio, they look and work like the rest of your app. See it on PayPal data.

Extracting critical business data at scale is only useful if teams can trust the results. Confidence levels and bounding boxes in Box Extract help teams quickly identify which extracted values may need review and verify them directly against the source content, reducing the effort required to validate extraction results. See it in action with a clinical trial protocol use case. 👇

Box and OpenAI are partnering to bring governed enterprise content to AI-powered legal work with Astra for Law and ChatGPT. Legal skills built on Box and ChatGPT help law firms turn their content into practical, secure workflows, combining OpenAI's intelligence with Box's governed content foundation. In this demo, a legal professional uses the new Outside Counsel Guidelines skill to review an incoming set of OCGs stored in Box. ChatGPT flags associated risks and leaves comments for human review. The content never left Box. Existing permissions stayed intact throughout. And a person still owns the final call. This is what Box as the file system for AI looks like for legal teams: enterprise content connected to the models and agents legal professionals choose, while Box remains the place where that content is organized, governed, and managed. Watch here. 👇

Trust in AI isn’t a trend line. It’s a cliff. One confident mistake in front of a client, and a whole team quietly goes back to doing it by hand. Your usage report won’t show that. Do you know which teams it’s already happened to? Take the AI Value Test.

47% of employees expected to use AI are resisting it (Gartner, Oct 2026). In your usage data, they just look inactive. Do you know why they stopped, and whether it’s skills, trust, or the tool? Take the AI Value Gap Test.

Spreadsheets of clicks and a payout week nobody enjoys. Introw gives affiliates their link and creative on day one, credits every real signup and pays them all on one invoice.

Request, approval, proof of spend and ROI in one flow, synced to your CRM. See MDF in Introw in a demo.

Fin is the best-performing AI Agent for customer service, powerful enough to resolve even the most complex queries like refunds, account changes, technical troubleshooting, and more.

Just because I have permission to do something, should an AI agent acting on my behalf have that same authority? That's a question I explored with John Gren on the latest episode of Trusted2Act. John has spent his career in identity and access management (IAM), and he pointed out something interesting. We've gotten pretty good at identity and authentication. But authorization? That's where we've struggled, even before AI agents came along. Think about it. If I have permission to delete a GitHub repository, does that mean my AI agent should too? Of course not. But how do we enforce that distinction? John shared some great examples of evaluating both the human's identity and the agent's identity before allowing an action.I challenged him on one thing, though. We cant possibly write a policy for every decision an autonomous agent might make. That's where the conversation got really interesting. John introduced the idea of guardian agents that monitor actions and bring humans into decisions when needed. This is exactly the kind of thinking we need as we figure out how to manage and build trust in our digital workforce through accountability. Give the episode a listen, and I'd love to hear your thoughts. Trusted2Act, available wherever you listen to podcasts.

Hoe goed ken je de burgemeester achter de functie? Samen met De Burgemeester ontdekken we het eiland Goeree-Overflakkee. We horen bijzondere verhalen, ontdekken meer over het eiland en gaan in gesprek over wie de burgemeester is, ook buiten het gemeentehuis. Benieuwd naar het hele verhaal? Bekijk de video! https://lnkd.in/eQMrukW5

Healthcare administrative tasks shouldn't be manual. Automate patient communications, reminders, and follow-ups with HIPAA-compliant SMS. Watch our free 15-minute on-demand webinar to get started.

Managing medical staff shift schedules and onboarding takes hours of manual outreach. Streamline your internal operations with AI agents and secure SMS messaging. Watch our 15-minute webinar.

How do you maximize the value of your organization’s investment in agentic AI? It starts with trust. Josh Harmon, Pushpay’s GTM Strategy Leader, shared an important insight in a conversation with GeekWire: People won’t hand over their highest-stakes work to AI until they trust it. Instead of leading with automation, Pushpay led with trust. They positioned AI as a coach in every rep’s pocket, rather than a “big brother” watching over their shoulder. They listened to feedback, refined the experience, and built credibility over time. Trust drives adoption. Adoption drives value. Trust isn’t a feature you ship. It’s something you earn, interaction by interaction, just as you would with any new teammate. And as trust grows, so does the scope of work people are willing to delegate to AI agents. That’s when the real value of agentic AI begins to compound. At Outreach were proud to be part of Pushpay’s journey and to earn that trust every day. The leaders who understand this sequence, earn trust first, then expand autonomy, will be the ones who unlock the greatest value from agentic AI. Proud to see Pushpay leading by example.

As AI agents take on more critical work, leadership teams are facing a new set of questions: What should be delegated? Where must human judgment remain essential? And who is accountable for the outcome? Our new research with Atlantic Re:think explores five themes shaping the agent-powered organization: autonomy, judgment, legibility, measurement, and ownership. On Nov. 12, join Elizabeth Maxson Martinet, CMO of Contentful and Alice McKown of The Atlantic for a practical conversation about how leaders can create a decision boundary that accelerates work without handing away accountability. Register for the session that works for you: AMER: https://ctfl.io/4irvXja EMEA: https://ctfl.io/4zC8jGm

🎉 AgentGrid.io is live on Product Hunt - https://lnkd.in/d9k4WuWK Have your chat/agents share documents and websites with you and your team. Started a document/report/design with the chat and want Claude to join? Want someone from the team to edit manually or with their own Claude Hermes? OpenClaw? Muse? Grok Bot? Instinct? All agents are welcome 🤘 We collaborate with agents daily now - We should have a dedicated shared drive for that, with access control and full version history. This is why we built AgentGrid.io

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