🚨 New Report Release: The 2026 Aragon Research Globe™ for Workflow & Content Automation! By year-end 2027, 60% of WCA providers will offer human-in-the-loop AI Content Assistants. See how 13 top vendors stack up in the agentic shift: https://lnkd.in/gUnrhKFT
Aragon Research Globe for Workflow & Content Automation 2026
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🚨 New Report Release: The 2026 Aragon Research Globe™ for Workflow & Content Automation! By year-end 2027, 60% of WCA providers will offer human-in-the-loop AI Content Assistants. See how 13 top vendors stack up in the agentic shift: https://lnkd.in/gwGKDSX9
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Your agency paid thousands for that enterprise AI platform. Now you're watching your team manually rebuild half the pitch deck because the tool doesn't understand experiential work. Most RFP software was built for procurement teams buying software licenses, not creative teams building experiences. There's a reason generic horizontal tools break down at a specific stage of your pitch process—and it's not what you think. Finance teams are starting to notice something too. The "cost per proposal" metric everyone uses to justify tool selection is hiding a much bigger number. What actually separates purpose-built from broken is an evaluation framework most agencies have never seen. Read more: https://lnkd.in/g2fzwYbN
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One agent is powerful. 🤖 A team of agents connected through MCP? 🔗 That's a different category entirely. 📈 ━━━━━━━━━━━━━━━━ Here's the problem with most multi-agent systems today. 👇 The agents are brilliant individually. 🤖 But they can't talk to each other properly. 🚫 They can't share context. 🚫 They can't hand off work cleanly. 🚫 They can't access the same live tools and data. 🚫 So you end up with a team of geniuses who can't collaborate. 😩 This is exactly the problem MCP solves for multi-agent systems. 👇 ━━━━━━━━━━━━━━━━ What MCP gives your multi-agent system: 👇 🔹 🔗 SHARED TOOL ACCESS Every agent in your system connects to the same tools through one standardised protocol. 🔌 Agent 1 searches the web. Agent 2 reads the database. Agent 3 updates the CRM. All through MCP. All standardised. All secure. ✅ 🔹 🤝 CLEAN HANDOFFS When Agent 1 finishes its job — it passes context to Agent 2 cleanly. 🤖 No data lost in translation. 🚫 No rebuilding context from scratch. 🚫 The next agent picks up exactly where the last one left off. 🎯 🔹 🔄 REAL-TIME COORDINATION Agents working in parallel can access live data simultaneously through MCP. ⚡ Researcher agent and writer agent both working at the same time. 📝 Both connected to the same live sources. 📊 Results merged by the orchestrator. 🏗️ 🔹 🛡️ CONSISTENT SECURITY Permissions enforced at the protocol level across every agent. 🔐 Agent 1 and Agent 5 both respect the same access boundaries. No agent can exceed what it's been given permission to do. ✅ ━━━━━━━━━━━━━━━━ Real world example. 👇 A content operations system with 5 agents. 📝 🔍 Agent 1 — research agent searches live news and trends via MCP web search 📋 Agent 2 — brief agent pulls brand guidelines from Notion via MCP ✍️ Agent 3 — writer agent generates the first draft ✅ Agent 4 — review agent checks against SEO and brand standards 📤 Agent 5 — publishing agent schedules and posts via MCP CMS connection All 5 connected. All coordinated. All running through MCP. 🚀 What used to take a team 2 days now runs in under an hour. ⏱️ ━━━━━━━━━━━━━━━━ MCP doesn't just make individual agents smarter. 🧠 It makes teams of agents possible. 🤖🤖🤖 And teams are always more powerful than individuals. 💪 ━━━━━━━━━━━━━━━━ At TrinityCorps we design and build multi-agent systems with MCP from the ground up. 💪 Not demos. Not proofs of concept. Production systems that actually run. 🚀 Practitioner-led. Vendor-neutral. Real builds. No slideware. 🛠️ 🔔 Follow TrinityCorps for more insights on Agentic AI, MCP, and enterprise tech. 🌐 trinitycorps.org #MCP #MultiAgentSystems #AgenticAI #EnterpriseAI #TrinityCorps #LLMEngineering #AIArchitecture #FutureOfWork #TechLeadership #ProductionAI
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❓ How do you ensure your Enterprise AI delivers a business outcome at high quality, quickly, and at low cost? That’s the industry’s biggest question right now, and it’s central to our mission here in #SharePoint to build trustworthy agentic content management. Read the just published technical deep dive by Sujay Kumar Jauhar and others on how we built an outcome-based eval system to answer this question at global scale inside the world’s leading content management platform. 📣 Call to action: Modernize your first content workflow with Copilot in SharePoint and let us know how it goes. https://lnkd.in/eCYNsFB4
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While delivering high quality Enterprise AI solutions to customers, the BIGGEST challenge (aka, nightmare) is how to seamlessly turn customer feedback into a better product experience. Read about our teams latest work on how to "close the loop" to deliver customer success!
VP of Product @ Microsoft | Enterprise Agents | Knowledge Management | Collaboration Software | Tech Ecosystems
❓ How do you ensure your Enterprise AI delivers a business outcome at high quality, quickly, and at low cost? That’s the industry’s biggest question right now, and it’s central to our mission here in #SharePoint to build trustworthy agentic content management. Read the just published technical deep dive by Sujay Kumar Jauhar and others on how we built an outcome-based eval system to answer this question at global scale inside the world’s leading content management platform. 📣 Call to action: Modernize your first content workflow with Copilot in SharePoint and let us know how it goes. https://lnkd.in/eCYNsFB4
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Teams leveraging AI for website generation often overlook a critical flaw: the inability for non-technical users to make edits without constant intervention or risking site integrity. This leads to manual bottlenecks and hinders scalability. The operational challenge isn't just about generating a site; it's about making it maintainable and adaptable. Without a robust Content Management System (CMS), these AI-powered creations become high-maintenance liabilities, not assets. Integrating a purpose-built CMS transforms these sites. It enables automated handoff, empowers clients and internal teams to make changes safely, and allows for crucial SEO optimizations. This shifts the paradigm from manual oversight to hands-free, scalable operations. Design for maintainability, not just initial generation. #FutureOfWork #Innovation #TechInnovation #Procurement #ProcessAI
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Most enterprise websites stall for the same reason: they prioritize AI chat interfaces before addressing the real friction, which is unclear content and disconnected buyer journeys. If buyers can’t find answers or validate claims, no interface will move the needle. The sequence is non-negotiable: foundations first, proof second, interface last. When AI reads muddled content, it amplifies confusion instead of clarity. When the site’s structure doesn’t match how buyers make decisions, even the most advanced tools cannot compensate. We’ve outlined the framework that separates sites that quietly fail from those that drive measurable outcomes. If you’re rethinking your digital foundations or mapping the next phase of your web strategy, it’s worth a look. Where are you seeing the biggest disconnect between presence and performance? https://lnkd.in/gVEipMRp #B2B #EnterpriseWeb #DigitalStrategy #AI #WebDesign #BrandIdentity #MarketingTech
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🚀 Innovating with Make.com | AI Series #4 Read Previous Posts https://lnkd.in/gwPMNRXA Most business workflows break down because team members spend hours manually copying data between apps, sending follow-up emails, and updating tracking spreadsheets. Make.com eliminates this friction by visually connecting apps to automate complex, multi-step systems without writing code. 💡 The Innovative Idea: Build an autonomous customer onboarding and reputation engine. Instead of manually handling new clients and begging for reviews, you create a self-running system that provisions client accounts, triggers localized welcoming sequences, and strategically requests feedback at the moment of highest satisfaction. 🔄 The Value Transformation: ❌ Before: Spending 5 hours a week manually copy-pasting customer details from payment gateways to CRMs, drafting welcome emails, and setting calendar reminders. ✅ After: A 100% hands-free visual workflow that instantly syncs data, personalizes outreach using AI, and updates dashboards silently in the background. 🛠️ The Tool: https://make.com A visual automation platform that lets you design, build, and automate complex workflows using a drag-and-drop builder to connect thousands of apps. 💼 Real-World Requirement: A growing SaaS company needs an automated workflow. When a new customer completes a purchase on Stripe, the system must instantly create an account in HubSpot, send a personalized onboarding email via Gmail, and alert the customer success team in Slack with the buyer's company size and industry. 📋 Power Prompt Blueprint: Copy and paste this into Make.com’s AI assistant or use it to plan your visual scenario: "Act as an enterprise systems architect. Design a 4-step automated workflow architecture. Step 1: Trigger immediately upon a successful 'New Charge' event in Stripe. Step 2: Use the customer email to search for or create a contact in HubSpot CRM. Step 3: Use an OpenAI module to analyze the customer's domain, extract their industry type, and draft a hyper-personalized welcome email text. Step 4: Route the final output to send via Gmail and post a formatted summary card to a designated Slack channel." ⚠️ Power User "Gotcha": Make.com charges based on "operations" (every time a module runs). If you do not set up an active filter right after your trigger module to stop empty or duplicate data packets, a sudden spike in spam sign-ups can consume your entire monthly plan quota in a single afternoon. 🔗 Explore deeper strategies for maximizing AI workflow automation here: https://lnkd.in/f3s_zyN #AIInnovation | #MakeDotCom | #WorkflowAutomation | #SaaS | #NoCode | #BusinessGrowth | #ProductivityHacks
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More than 40% of enterprise CMS migrations are delayed or exceed budget, not because of the technology, but because of underestimated integration complexity and change management. Together with our partner iO Digital, we've published a report that unpacks exactly that: the new reality of digital platforms, why Storyblok is strategically a strong choice, why projects fail or stall, the crucial elements of a successful approach, how iO executes Storyblok programs, how Storyblok approaches AI, and ten questions to ask before choosing an implementation partner. 📥 Download it now: https://okt.to/Tqfsjx
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Turning video into usable text is one of the fastest ways to unlock more value from content, and n8n’s latest template makes that surprisingly simple 📄✨ This workflow takes a public YouTube video ID, pulls a clean transcript through the youtube-transcript.io API, then returns usable text with word and character counts. Because it is built as a sub-workflow, teams can drop it into bigger automations for content repurposing, research, training, or internal knowledge capture. For businesses in Southeast Asia, this matters right now. Many teams are producing more video across sales, marketing, onboarding, and thought leadership, but the real leverage comes when that content can flow into CRM notes, summaries, search bases, or multilingual content pipelines. With automation like this, one video can become a transcript, a blog draft, a sales enablement asset, or a training reference in minutes. At The Agentiv, we see this as a strong building block for AI-ready operations. The next step is connecting transcript extraction with summarization, translation, tagging, and publishing workflows so content can move faster across teams and markets. 🚀 Original article: https://lnkd.in/gCx-MvqU #Make #N8n #AIAutomation #WorkflowAutomation #SEABusiness #TheAgentiv
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