Watch: Agentic AI Executes Real Work in ServiceNow
A real-world use case: AI agents trace a MAC address to locate physical assets—bridging ITOM and ITAM in ServiceNow.
Topics: Architecture · AI · ServiceNow · ITOM · ITAM
Video Runtime: 2m 49s
📽️ Demo Video
Watch the clip below. This is what execution looks like—real work, done by AI.
Key Highlights
Agents trace a MAC address across systems
Executes real logic across ITOM, ITAM, and CMDB
No manual steps—entirely automated
Based on real ServiceNow architecture
Why This Matters
Everyone talks about generative AI—copilots, summarization, suggestions.
But this isn’t a suggestion.
This is an agent doing the work.
Planned. Bounded. Architected.
This was the moment AI crossed into execution—or at least, that’s how it felt at the time. In hindsight, it wasn’t quite the warp threshold I’d later come to recognize. That came weeks later, during a different experiment with GPT-4o—one that built, tested, and debugged a document automation system almost entirely on its own.
Still, this moment mattered. It revealed something important:
We can argue endlessly about what is or isn’t “real” AI.
But the deeper point is simpler—did it produce a real outcome?
Because in the end, that’s all anyone is really looking for.
And to borrow a thought from Arthur C. Clarke:
“Any sufficiently advanced technology is indistinguishable from magic.”
Because at some point, when the results speak for themselves, it matters less whether it was AI or not. What matters is that it worked.
What’s Next
This demo is powered by a larger framework:
Deitsch’s DREAM – Design Reference for Enterprise AI Maturity.
That full framework drops soon. It’s the architectural blueprint behind agentic execution in the enterprise—governing, scaling, and grounding these agents with clarity.
Around here, however, we don't look backwards for very long. We keep moving forward, opening up new doors and doing new things, because we're curious...and curiosity keeps leading us down new paths. - Walt Disney (attributed)