Ivanti Blog: Posts by

Your New Hub for Success Is Here: Explore Innovators Hub Today

Fri, 06 Feb 2026 05:00:03 Z

Today marks an important milestone in our journey to make your Ivanti support experience effortless, intuitive and all in one place: Ivanti Innovators Hub is now live! This isn’t just a refresh; it’s a major step forward — delivering a smarter, unified destination where support, resources and community meet your needs, your way.

One destination, everything you need

With this launch, the Ivanti Success Portal and the Ivanti Community are now consolidated into the new Ivanti Innovators Hub. No more switching between sites. Now, all your resources, case management tools and knowledge content are unified within one streamlined experience at hub.ivanti.com. You’ll have full access to the user and account management, resource libraries and case submission capabilities you’ve relied on. User registration and login will remain at success.ivanti.com.

Smarter support with the Innovators Hub chatbot

We’re pleased to bring you a streamlined chatbot experience within the Innovators Hub. When you need help, the chatbot will first prompt you to select a product and describe your question or issue. It then searches our forums, knowledge articles and technical documentation to generate a relevant answer — helping you find a solution instantly, right within the chat.

If the suggested answer solves your problem, you can simply move on — no need to create a support case. If not, the chatbot gives you the option to ask another question or continue to case creation. If you proceed, the chatbot automatically carries over the details you’ve provided (like product and query) into the case form, so you only need to fill in the remaining required fields before submitting.

This workflow helps ensure every user gets fast, self-service support when possible, while still making it simple to escalate unresolved issues to our team. The chatbot is prompt-based and guides you step-by-step, so you can resolve issues quickly and spend less time searching for answers.

A modern home and a fresh start

With this launch, you’ll also notice we’ve refreshed our web address: visit hub.ivanti.com (instead of forums.ivanti.com). This reflects the new, unified vision for Ivanti support, community and knowledge —clearly signalling that a new, modern experience awaits you.

What’s next

Looking ahead to March, we’re preparing to further enhance your Innovators Hub experience. Expect new features focused on personalization, engagement, and intuitive tools — all designed with your feedback in mind to make every support interaction effortless and simple.

Thank you for your partnership and advocacy as we launch this new chapter. The goal of the Ivanti Innovators Hub is simple: to give you one trusted home for support, learning and community — because your success is our mission. I encourage you to explore the new Hub today and share your feedback as we continue to build together.

How Agentic AI for ITOps Unlocks Value at Scale

Mon, 05 Jan 2026 17:00:02 Z

Here’s a paradox for the AI era: organisations are obsessed with the promise of AI as the key to unlocking productivity and enterprise transformation, and IT teams are all-in on the advantages AI and automation offer — yet those same organisations are the ones holding that transformation back.

While the majority of IT workers advocate for AI adoption, operational, cultural and budgetary barriers stand in the way of enterprises implementing AI at scale. The result: most companies today have yet to operationalize breakthrough AI and automation use cases that deliver true business value.

That’s not to say; most companies aren’t using AI — but mainly for completing lower-level tasks and boosting individual productivity. While this is an important step, enterprises will need to think bigger and longer-term to see significant ROI and digital transformation from their AI investments.

Automation and outputs vs. agentic AI autonomy

IT teams are ahead of the curve when it comes to generative AI adoption. 84% of IT professionals use generative AI tools at work, according to a 2025 Ivanti research report. That same research shows that IT professionals are also overwhelmingly positive toward AI and automation:

83% expect AI to boost productivity in the next year.
70% say it will make their work more satisfying.

Yet, for all that progress, companies aren’t tapping into the deeper potential of AI-driven technology. Many teams have mastered task-level automation (ticket routing, password resets, log summarization), but few have embraced agentic AI, which goes beyond execution to autonomous reasoning and optimization.

That gap between automation and transformation mirrors a larger problem occurring across industries. While most organisations are already using AI in some capacity, only a few have seen measurable business impact from their AI tools. McKinsey has referred to this situation as “the gen AI paradox.”

This disconnect between AI applications and ROI is further validated by an MIT report published in August 2025, which finds that a staggering 95% of organizations found zero return on generative AI despite $30-40 billion worth of investment in it.

The reason for the problem is straightforward: generative AI creates. It produces content, automates tasks, and accelerates workflows. However, it doesn’t learn, reason, or adapt on its own. The next phase of enterprise AI will be driven by systems that can interpret, predict and act dynamically: what’s now being defined as agentic AI.

Ivanti’s research further underscores the fact that most companies today have yet to integrate more complex AI use cases into their IT workflows.

While 67% of organisations automate ticket routing, fewer than one-third apply AI to root-cause analysis or other predictive use cases. This signals that most teams are still prioritising standard automation for tasks rather than enabling systems to think and act autonomously via agentic AI.

Standard automation and generative AI tools are frequently employed by IT teams to improve individual productivity and handle low-level, repetitive tasks at greater speeds than human intervention alone. The ability to boost efficiency with less time and resources is a critical advantage of AI — particularly for strained IT teams who are always being asked to accomplish more with less. But efficiency gains are only one piece of the puzzle.

Ivanti data also reveals a deeper organisational issue: nearly half of IT teams say their organisations lack resilience — the ability to adapt quickly to change, recover from disruption and maintain business continuity without excessive manual intervention.

True enterprise agility demands autonomous and adaptive AI solutions that can anticipate problems, reason through potential solutions and continuously learn how to deliver the most optimal outcomes.

This is where many leading organisations are turning to agentic AI. Autonomous AI agents offer teams the opportunity to reshape traditional IT operations from reactive automation to proactive, goal-driven collaboration. Realising that transforming ITOps with AI means moving from isolated automation wins to system-wide intelligence.

High-impact agentic AI use cases in ITSM and ITOps

Agentic AI is already moving the needle by reducing downtime, cutting costs and improving organisational agility.

Five high-impact use cases for agentic AI in IT follow:

1. Autonomous incident remediation

Autonomous remediation is where AI begins to move from support to strategy. In traditional IT operations, identifying and fixing an issue can take hours of human triage and escalation.

With agentic AI, those same incidents can be detected, diagnosed and resolved in real time — often before users notice any disruption.

Agentic AI doesn’t not only detect anomalies within that IT space and diagnose the root cause — it intelligently devises solutions and then executes fixes without human intervention. Moreover, machine learning enables the AI to learn from previous incidents and use this experience to continually refine and improve response efforts going forward.

2. Proactive problem prevention

Proactive problem prevention happens when AI can anticipate rather than just react to potential tech problems. Instead of solving a known issue, agentic AI continuously monitors data patterns and detects early warning signals in the form of small deviations that might evolve into service disruptions or security issues.

In other words, it moves ITOps toward proactive prevention, monitoring leading indicators and addressing issues before they become significant.

3. End-to-end lifecycle management

Autonomous AI agents will provide a more comprehensive and effective approach to asset lifecycle management.

This lifecycle view of automation extends beyond individual tickets or incidents to touch every stage of IT operations.

From onboarding new devices to patching and decommissioning outdated infrastructure, agentic AI ensures systems remain secure, compliant and cost-effective.

It not only fixes issues but also detects, diagnoses, and optimises IT systems from provisioning to retirement. It acts as a continuous improvement engine, learning from patterns across the IT ecosystem to proactively optimise resources, streamline updates and reduce the long-term burden on IT staff.

4. Dynamic change and release management

Dynamic change and release management is where agentic AI truly shows its orchestration capabilities. In most enterprises, change management remains a high-friction process, requiring coordination across multiple teams, tools and environments.

Agentic automation transforms this by allowing AI agents to collaborate on complex workflows including cybersecurity incident response and software deployment, working together with minimal human oversight to resolve incidents, provision resources and ensure compliance.

These agents act as intelligent coordinators: synchronising updates across systems, validating configurations and rolling back changes automatically when anomalies occur. The result is faster, safer and more predictable change cycles that free IT teams to focus on innovation rather than resource-heavy firefighting.

5. Autonomous resource and capacity management

Resource and capacity management are some of the most critical — and often overlooked — dimensions of IT performance. Using AI, companies can anticipate future resource needs by analysing historical usage trends, workload fluctuations, and demand surges. Agentic systems can automatically allocate compute power, storage and bandwidth before bottlenecks appear, maintaining optimal performance without constant human oversight.

Over time, these self-adjusting systems learn from operational data to continuously fine-tune capacity, reducing waste, minimising costs and ensuring service continuity even during unexpected spikes.

Research from IBM’s report, Agentic AI’s strategic ascent, underscores this pace of change: by 2027, twice as many executives expect AI agents will make autonomous decisions in workflows. Today, only 24% of executives report that level of autonomy; within two years; 67% expect this to be the norm.

Overcoming barriers and delivering enterprise impact

Yet progress often stalls; not for lack of intent, but because of structural barriers. IT leaders must first overcome the obstacles that stand in the way of their evolution to value-focused work. These barriers are multifold: technical, cultural and operational.

Even AI-forward IT organisations can lack the structural readiness for deep automation. For example, Ivanti’s “2025 Technology at Work Report” found that:

38% of IT professionals point to complex tech stacks as an issue in effective IT operations.
And 72% say their IT and security data is siloed within their organisation.

Building a sustainable AI strategy requires more than a positive attitude – it demands alignment between IT and the broader business. Successful organisations are the ones aligning technology goals with tangible outcomes, supported by clear data structures, unified processes and teams equipped to manage new AI-driven workflows. Without that alignment, even the best tools struggle to deliver enterprise-wide impact.

IBM research reveals another layer: 45% of executives cite a lack of visibility into AI decision-making as a major barrier. This AI “black box” problem isn’t just a technical one. It’s also about trust, clear communications and AI guardrails. Scaling agentic AI requires governance frameworks where automated decisions can be understood, audited and explained.

Such transformation must keep humans in focus: design for augmentation — not replacement.

The agentic AI operating model

Think of agentic ITOps as much more than an efficiency upgrade, but as a total reshaping of traditional IT workflows. Organisations leading the next phase of transformation are the ones rethinking how their systems make decisions, collaborate and adapt autonomously across the enterprise.

That level of digital transformation requires leadership from the top. CIOs and executive stakeholders must pivot from experimentation to execution. They must look at embedding agentic AI not as a side project, but as a core operating model that aligns technology, data and people toward shared outcomes.

That pivot marks the real test ahead.

The future ROI of agentic AI initiatives

Even with the productivity boost enjoyed with generative AI tech, IT teams don’t need more tools. They need intelligence that delivers measurable outcomes. Teams should establish before-and-after metrics that resonate with IT and business leaders. Beyond efficiency gains (time saved, faster resolution, lower costs), measure labour savings, fewer resource-intensive outages and reduced tool sprawl.

Transformational organisations see greater impact across every business metric, including productivity, efficiency, revenue growth, brand strength and customer loyalty, than those that limit AI to incremental and even superficial gains.

In fact, organisations that excel in three key AI adoption areas are 32 times more likely to achieve top-tier business performance, according to that same IBM report referenced earlier.

The bottom line

The next 12 to 24 months will test IT leaders’ ability to translate experimentation into sustained value. Those who embrace agentic AI early will build organisations that learn faster, adapt continuously, preempt potential issues and recover from disruption instinctively.

IT has regularly shown that they're fully willing and committed to AI adoption. Now it must lead again, in depth. Agentic AI marks the next maturity stage: self-learning, self-healing and self-optimising systems that enable greater agility and resilience across the enterprise.

This isn’t “set and forget.” IT teams must build, train, monitor, measure and refine agentic AI to ensure value realisation.

To learn more about the role of AI as a transformative tool for IT operations and breakthrough use cases for agentic AI and automation in IT, see Ivanti’s research report: “AI: The Future of ITSM Automation.”

Introducing Your New Hub for Success

Fri, 12 Dec 2025 17:00:01 Z

At Ivanti, we know that your success relies not just on having the right products, but on having simple, seamless support and a connected community all in one place. We’ve listened to your feedback about navigating separate platforms for our support portal and community experience. That’s why, today, I’m excited to announce Ivanti Innovators Hub — your new hub for success.

Innovators Hub will replace the current Ivanti Community and Support portal, combining them into a single destination designed around you. No more jumping between sites. With this new launch, everything you need — from product forums and knowledge articles, to support cases, exclusive events and connecting with peers — will be together in one dynamic platform tailored to your needs.

With Innovators Hub, you’ll experience a streamlined interface, personalised resources, and an easily accessible chatbot to help guide your queries. I’m especially excited to share that in Phase 1, our new chatbot doesn’t just answer questions — it also makes creating a support case faster and easier. If you can’t find a helpful answer through chat, the chatbot will offer to help you create a case. It automatically carries over your product and initial query details into the case form, so all you need to do is fill in a few final fields and submit. Alongside direct connections to peers and Ivanti experts, this makes Innovators Hub a space designed to help you connect, collaborate, and resolve issues with less friction — anytime, anywhere.

In January we’ll “open the doors” with the launch of Phase 1, bringing together your most important support and community tools in one place. In March, even more features and engagement opportunities will follow in Phase 2, continuing our journey to empower your success.

We’ll be sharing more information, resources and guidance as we reach each launch milestone. Stay tuned and thank you for partnering with us and inspiring this transformation. Innovators Hub is your new home for support, knowledge and community — purpose-built so you can achieve more, your way.