LTM Partners with Anthropic for Claude Adoption

This week's most important AI number: 78% of organizations are now adopting AI agents. 74% are failing to scale them. Gartner just put $234 BILLION of enterprise software spending at risk because of it. Here is what that means for SMBs this week, and why we think the gap between enterprise and SMB is about to flip. The giants are reorganizing entire departments just to make a single workflow reliable. Data lineage, governance, who owns what the agent decides. Months of committees. 47-person change management boards. You do not have that problem. You can deploy an agent on one workflow, prove ROI in 7 days, and ship. No procurement committee. No two-year rollout. No org chart rewrite. Three things to do this week: 1. Pick ONE workflow that costs your team the most hours per week. Not five. One. 2. Run it through an agent with a human approval step on every action. Measure hours saved, not features shipped. 3. If the math works, scale it next week. If it does not, you learned in 7 days what took enterprise teams 18 months to figure out. The week ahead belongs to the companies that move like startups, not the ones that plan like enterprises. At Sayl, we help SMBs ship one agent a week, not one roadmap a quarter. Want our 7-day agent deployment framework? Comment "AGENT WEEK" and we will send it over. #AIAutomation #AgenticAI #SmallBusiness #DubaiBusiness #SaylSolutions

Five years ago, the most important #IT discipline was #cloud governance. Before that, it was #data governance. The pattern is consistent: every time a new technology wave moves into production at enterprise scale, the discipline that governs it becomes the critical function. Not the technology itself. We are at that inflection point with AI. Most organizations are in the experimentation phase. AI projects are funded, piloted, and measured on whether they are technically impressive. #Governance is treated as a future concern. Something to figure out once the technology proves itself. That sequencing is wrong. Here is what #AI governance actually means and why it will define which organizations get long-term value from AI: 1. You cannot govern what you cannot see Most #enterprises have no reliable answer to: "how many #AI agents are running across our environment right now?" #Agents are deployed by IT, HR, and individual teams building on tools that ship with #AI by default. Without centralized visibility, you do not have #AI governance. You have #AI hope. 2. Speed without guardrails is not an advantage An #AI agent that acts on stale data, operates outside its permitted scope, or triggers an unintended downstream workflow is not a productivity gain. It is a #liability. The organizations that move fastest sustainably are not the ones with the fewest guardrails. They are the ones whose guardrails are precise enough that agents operate quickly within defined boundaries, without humans reviewing every action. 3. Auditability is not optional in regulated environments In financial services, healthcare, and government, "the AI did it" is not an acceptable audit trail. #Regulators are not waiting for the industry to mature. They are writing requirements now. Organizations with explainable, auditable #AI workflows will be ready. Those that treated #governance as a later problem will be retrofitting under pressure. 4. The platform that governs AI will matter more than the AI itself AI models are becoming commodities. The intelligence gap between frontier models is narrowing. What is not a commodity is the ability to apply that intelligence to your specific data, workflows, and compliance requirements and produce outcomes that are auditable and safe. That capability lives in the platform. Not the model. This is why ServiceNow building AI Control Tower into every tier, not as an add-on but as the foundation every agent operates within, is architecturally significant. Governance is not a constraint on AI adoption. It is what makes adoption sustainable. The organizations that will lead are not the ones that deployed the most AI in 2026. They are the ones that built the governance layer first. That work is worth doing now. Before it becomes urgent. Ventrix Solutions | ServiceNow Implementation & Consulting 🌐 ventrix-solutions.com #ServiceNow #AIGovernance #EnterpriseAI #DigitalTransformation #ITLeadership #AIControlTower #NowPlatform #FutureOfIT

Workato Unveils Enterprise MCP Registry to Unify and Govern Agentic AI Environments “MCP is becoming the standard way AI systems interact with enterprise software, but protocols alone can’t run your business. You need a platform. As AI adoption accelerates, organizations need more than a protocol. Workato’s Enterprise MCP Registry provides that foundation, allowing customers to scale AI safely while focusing their engineering effort on solving business problems instead of rebuilding infrastructure every team already needs.” Said  Bhagat Nainani, Chief Product Officer at Workato. Read More: https://lnkd.in/gS2vmbV6 #AITech365 #businesstechnology #CRM #CustomerSupport #EnterpriseMCPRegistry #finance #ITandengineeringdepartments #ModelContextProtocol #news #Workato

📢 Leadership Announcement o9 Solutions, Inc., a provider of #AI-powered enterprise planning and decision-making software, has promoted Dr. Ashwin Rao to Chief Technology Officer (CTO). Having joined the company in November 2025 as Executive Vice President of Next Gen AI and Technology, Dr. Rao will now lead o9's technology strategy while driving the continued evolution of its AI-powered Digital Brain platform and next-generation planning capabilities. Dr. Rao has been instrumental in developing APEX (Agile, Adaptive, Autonomous Planning & Execution), o9's latest AI initiative that combines neuro-symbolic AI with the company's Enterprise Knowledge Graph to enhance enterprise planning, decision-making, and execution. Designed to help organizations navigate increasingly complex and volatile business environments, APEX continuously learns from enterprise data, identifies operational inefficiencies, recommends improvements, and leverages agentic AI to automate routine tasks, enabling teams to focus on higher-value strategic decisions. Founded in 2009, o9 Solutions provides an AI-powered enterprise planning platform that helps organizations optimize supply chains, forecasting, commercial operations, and business planning across more than 30 industries. Dr. Rao's appointment underscores the company's commitment to accelerating AI-driven innovation and delivering smarter, faster, and more adaptive decision-making capabilities for enterprises worldwide. Sanjiv Sidhu Chakri Gottemukkala #LeadershipAnnouncement #ExecutiveAppointment #ArtificialIntelligence #EnterpriseAI #DigitalTransformation #SupplyChain #BusinessPlanning #Innovation #AgenticAI #o9Solutions

The Era of Tool Sprawl Is Coming to an End “More software doesn't always mean better outcomes.” Over the last decade, organizations accumulated hundreds of SaaS applications.  In 2026, enterprises are prioritizing consolidation, integration, and platform rationalization. Why it matters:  ⚡ Tool sprawl increases costs  ⚡ Fragmented systems create inefficiencies  ⚡ Simplified stacks improve governance Adding tools increases capability.  Consolidation increases effectiveness. Organizations are focusing on:  🔹 SaaS portfolio optimization  🔹 Platform consolidation  🔹 Vendor rationalization  🔹 Unified user experiences The future of enterprise technology isn't about having more tools — it's about having the right ones. About Us:  At Ikrux Engineering, we see ourselves as more than just a technology services company — we’re a digital product engineering and AI transformation partner. We bring together the best of product thinking, data engineering, and AI-driven automation — enabling faster innovation, smarter decisions, and sustainable digital growth across industries. At our core, we’re about engineering intelligence into products — helping our partners create technology that learns, scales, and delivers continuous value.    Reach out to us at biz@ikrux.com or visit us at www.ikrux.com

🚀 Today marks an exciting milestone for everyone at 3Point Consulting. We're proud to see 3AIgent featured by CMOtech TechDay United Kingdom following its General Availability launch 🚀 AI has enormous potential, but many organisations are still struggling to move beyond proof of concepts and isolated pilots into secure, enterprise-wide adoption. That's exactly why we built 3AIgent. Designed for enterprise environments, 3AIgent helps organisations connect trusted knowledge, operational data and AI governance into one platform-giving teams the confidence to deploy AI securely, responsibly and at scale. This launch represents months of collaboration across our technical, commercial and delivery teams, and we're incredibly proud of what we've created together. A huge thank you to everyone involved in bringing 3AIgent to market, and to our customers and partners who continue to support our journey. If you're looking to move from AI ambition to production-ready outcomes, we'd love to start a conversation. 📰 Read the full feature from CMOtech UK below: https://lnkd.in/eTAnp2sj #3AIgent #EnterpriseAI #AgenticAI #ArtificialIntelligence #DigitalTransformation #Innovation #AIGovernance #3PointConsulting

Huge news for a Monday… it’s coming home! 🏴󠁧󠁢󠁥󠁮󠁧󠁿 Now I have your attention, the real huge news is that 3AIgent has been featured in CMOtech, a huge milestone for 3Point Consulting and the team who have worked so hard to bring this to life. Turning pilots into production at scale? Use 3AIgent 😎 #3point #3aigent #ai #agentic #itscominghome

We're watching enterprise teams build agentic AI systems the same way we built ESBs in the 2000s — layer upon layer, with no interoperability standard in sight. The pattern's familiar: MCP handles tool integration, A2A manages agent-to-agent communication. Both solve real problems. Together, they create a governance nightmare. Here's what we're seeing in the wild: teams standardize on one MCP implementation, another standardizes on a different one. Agents that should talk seamlessly don't. Integration becomes a series of custom adapters. Technical debt compounds faster than the productivity gains. The question isn't whether MCP and A2A are valuable — they are. It's whether you're building on shifting foundations. Enterprise architecture decisions made today will either lock you into vendor-specific ecosystems or give you the flexibility to evolve as standards mature. There's a difference between adopting emerging tech and adopting it wisely. If you're designing agentic systems right now, you need to understand where the interoperability gaps actually are — and plan accordingly. We've written a detailed breakdown of the architectural implications and what it means for your integration strategy. #AgenticAI #EnterpriseArchitecture #AIIntegration #SoftwareArchitecture #DigitalTransformation https://lnkd.in/eHzbEyFU

Traditional APIs connect software. MCP architectures connect intelligence. 🤖 Here's why that distinction matters enormously for enterprise AI: Most AI initiatives focus on structured data — but structured data is often only a fraction of what your organization knows. The richest source of business context? Email. mxHERO Mail2Cloud Advanced with MCP bridges that gap by: → Capturing email body content, metadata & attachments → Transforming communications into AI-accessible knowledge → Enabling Agent-to-Agent (A2A) collaboration → Supporting multi-system orchestration and cross-platform reasoning → Preserving governance and compliance throughout MCP was designed for AI. Traditional APIs were designed for applications. The future of enterprise intelligence is built on that difference. mxHERO's Mail2Cloud Advanced with MCP is not just an email product — it's an enterprise context platform for the AI era. 🔗 https://lnkd.in/dyADBtUy #MCP #AIStrategy #EnterpriseAI #Mail2Cloud #AgentAI #FutureOfWork #mxHERO #DataGovernance #AIIntegration

🚨 Most companies do not have a sales problem. They have a revenue architecture problem. When Marketing, Sales, and Customer Success operate independently, data conflicts, handoffs break, forecasts lose credibility, and technology simply scales the chaos. I created The Revenue Engine to explain how modern RevOps can connect People, Process, Data, and Technology into one predictable growth system. 📘 Swipe through this 9-page executive preview. Want the complete 37-page guide? Subscribe for free to The Predictive Engine and receive it directly by email. 🔗 https://lnkd.in/df8TEiaB And this is only the beginning. Subscribers will continually receive: 📊 Executive guides ⚙️ Operational frameworks 📥 Downloadable resources All focused on AI, Revenue Operations, B2B growth, automation, and enterprise systems. Where is your revenue engine experiencing the most friction: People, Process, Data, or Technology? #RevenueOperations #RevOps #GTMStrategy #B2BGrowth #ArtificialIntelligence