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We need to learn quickly that AI isn’t a shortcut to maturity, or efficiency, it’s an accelerant of whatever state your ITSM is already in. If your CMDB is fragmented, automation will spread that fragmentation faster. If your data is inconsistent, AI will magnify the inconsistency. Start with trust. Ensure your CMDB is complete, correct, current, and consistent, so every automation workflow and AI model runs on data you can rely on. You can’t automate what you can’t trust. Everyone wants the benefits of AI: faster resolution, smarter automation, predictive insights. But without trusted data, you risk making things worse, quicker. 💡 We’re helping IT leaders make automation reliable: https://lnkd.in/eekTySU4

If you're busy planning your AI strategy, remember that AI is only as smart as your CMDB. When discovery data is fragmented or stale, even the most advanced ITSM platform will misfire. Everyone wants the benefits of AI: faster resolution, smarter automation, predictive insights. If your CMDB is fragmented, automation will spread that fragmentation faster. If your data is inconsistent, AI will magnify the inconsistency. Start with trust. Ensure your CMDB is complete, correct, current, and consistent, so every automation workflow and AI model runs on data you can rely on. 💡 We’re helping IT leaders make automation reliable: https://lnkd.in/eM5xQhEY

What began as a push for innovation has become almost unmanageable, too many systems, too little integration, and too much wasted value. Everyday IT leaders are challenged by: ❌ Multiple overlapping discovery tools that don’t communicate. ❌ Siloed teams with duplicate data and inconsistent reporting ❌ Underused licences draining budgets year after year ❌ CMDBs filled with gaps, errors, and obsolete records ❌ Security blind spots caused by disconnected systems What started as “best of breed” technology has become a tangled ecosystem of partial truths making IT slower, more expensive, and less secure. Introducing AI as a solution can be a risk, because if it starts out bad, AI will only make it worse, faster. 💡 A reliable CMDB is the foundation of efficient IT. It connects people, processes, and technology, it enables visibility, automation, and governance. Stop adding tools. Start extracting value. 👉 Learn more in our new blog: https://lnkd.in/euFSbN6H

Between 2019 and 2025, enterprise spending on IT management tools has grown by more than 40% (Gartner). So why has your MTTR not improved and why hasn’t productivity kept up? Many organisations are now facing these questions and here’s what the answers start: 🛑 Redundant technologies performing similar functions in different departments 🛑 Fragmented visibility across hybrid cloud, on-prem, and SaaS environments 🛑 Mounting licence costs with little correlation to business outcomes Businesses have more data than ever, but somehow less insight. Business have adopted automation but somehow have less control. IT departments must consolidate, but here’s the thing consolidation isn’t just about saving money, it’s about transforming the way IT operates. When your discovery tools, CMDB, and ITSM systems are aligned, everything gets faster and safer. Businesses don’t need to add another tool, they need to win now with what they already have. 👉 Learn more in our new blog: https://lnkd.in/e--dQ7yQ

Over 60% of ITSM platforms will embed AI-assisted automation to improve efficiency. Why is nobody asking: “what happens if the data feeding those algorithms is wrong?” AI thrives on patterns. It finds correlations, predicts outcomes, and makes recommendation, all based on the data it receives. If that data is inaccurate, AI will confidently deliver inaccurate conclusions. Imagine: 🚨 False positives that waste time. 🚨 Missed alerts that compromise service availability. 🚨 Faulty recommendations that cost real money. 🚨 Compliance breaches (if sensitive data is misclassified or mishandled). As regulators tighten expectations around AI transparency and accountability, a dirty CMDB isn’t just an operational issue, it’s a governance risk. 💡 We’re helping IT leaders make automation reliable: https://lnkd.in/enbcQvAw

How does IT leader progress from simply "seeing what they have", to using that insight to transform ITSM performance and improve the performance overall for the business? It's vital to start putting some context around how the assets on our asset lists actually relate to each other and with software. We must understand relationships, dependencies and communication. Only then can we give a trusted accurate view to the asset service and we can then start feeding that data back into tooling to enhance everything. That's key to driving ITSM to the maturity stage and getting real business value from it. We developed uControl to bridge the gap between discovery and ITSM tools like ServiceNow and BMC. It reconciles data, ensures accuracy, and keeps everything in sync. uControl drives faster incident resolution, better change management and creates value. Build your own uControl Demo: https://lnkd.in/eqa4BkKt