
As someone who’s spent years in the trenches of enterprise IT and digital transformation, I’ve seen a lot of hype cycles. But what we’re witnessing now with AI—especially its application to IT Service Management (ITSM)—is different. The conversation is finally moving past the noise and into something far more consequential: practical, transformative change.
Enterprise IT teams are standing at a pivotal moment. We’re being asked to re-evaluate traditional processes that have long defined service delivery and reimagine what’s possible. It’s no longer theoretical—it’s actionable.
That’s why I was honored to join Doug Tedder and Stephen Mann for a recent AI-focused panel discussion. Together, we explored where AI in ITSM is headed, why it matters, and what IT leaders can do right now to stay ahead. Watch the full webinar here.
Let’s be honest: if you’ve been around IT long enough, you’ve seen your fair share of so-called “ITSM revolutions.” Most fizzle out. But this time feels different. And it’s not just the tech—it’s the timing.
Stephen Mann made a great point during our discussion: AI went mainstream with the release of ChatGPT in 2023. It wasn’t just another backend tool anymore—it became real, accessible, conversational. That changed everything. The visibility and excitement it brought has given ITSM leaders the tools—and the momentum—to drive real transformation.
Doug Tedder summed it up perfectly: “AI isn’t the magic wand. But it is the wake-up call.” That wake-up call is exposing all the outdated, manual, and brittle processes we’ve accepted for too long. Now we finally have a way to reimagine them.
One of the strongest takeaways from the panel: our legacy approach to service management has always been process-first. From ticket routing to change approvals, we built structures around process instead of outcomes.
But AI flips that model.
With the rise of agentic AI and natural language processing, we’re moving toward dynamic, intelligent workflows that adapt in real time—driven by context, not code. That means we can deliver the actual outcomes users care about, faster and with fewer interruptions.
One thing I wanted to be crystal clear about in the discussion: AI isn’t coming for your job—but it is going to change it.
Some entry-level, repetitive tasks? Sure, those may shift. But this is our opportunity to focus on what humans do best—empathy, strategy, complex problem-solving. AI will augment your team, not replace it.
We’re seeing this play out already:
The net effect? IT teams get more time to focus on higher-value work—like prevention, governance, security, and innovation.
In fact, organizations using SymphonyAI’s ITSM capabilities are already reporting up to 50% faster service request resolution—and better end-user satisfaction.
Let’s be honest again: self-service portals have often failed because they were built for IT, not users.
Stephen Mann nailed it when he said, “We built them for us, not for them.”
AI changes that dynamic. When you embed AI-powered virtual agents into tools employees already use—Teams, Slack, etc.—you meet them in the flow of work. Pair that with intelligent knowledge management that evolves over time, and you’ve got real enablement.
The shift is clear: Self-service is no longer about deflection. It’s about creating frictionless, empowering experiences.
Quick tip: Audit your self-service strategy. Are you embedding support into the tools your users live in every day? That’s table stakes now.
For those ready to move from insight to action, Doug and Stephen shared a solid 3-step plan I fully endorse:
One more thing: AI will also force you to become a better data steward. Clean, accessible, well-structured data isn’t a “nice-to-have.” It’s the foundation of every successful AI initiative.
This moment matters.
It’s not just about doing more with less. It’s about becoming more agile, more user-centric, and more resilient in the face of complexity.
The takeaway is this: Organizations that treat AI not as a trend but as a true inflection point will define what enterprise-class service looks like in the AI era.
Let’s make sure we’re among them.
Let’s replace old IT with intelligent IT.