Your runbooks don't need to be perfect for AI agents to use them.
After analyzing 1,500+ enterprise runbooks, we found most steps are already workable for agents.
The bigger barrier? Access, not documentation.
Learn more: https://t.co/jyI9j743eO
#BigPanda#AgenticITOps
A green dashboard doesn't mean your business is in the clear.
Knowing something's wrong before your CEO calls? That's the visibility that matters. πΌ
#BigPanda#ITOps#AgenticITOps
AI is accelerating software development. But every new release adds complexity that IT operations must manage.
If operations still rely on manual workflows, the bottleneck moves downstream.
The next challenge isn't building faster. It's operating smarter.
#BigPanda#ITOps
One week to London.
At #GartnerIOCS EMEA, we're asking three questions about Agentic ITOps: autonomy, shared context, and measurable value.
Meet BigPanda at Booth #401, Nov 16β17.
https://t.co/R8WYDIf8tR
#BigPanda
Spending $5β7M a year on outsourced L1 operations, including routine ticket resolution?
Rob Pickering breaks down why adding offshore headcount isn't a sustainable answer to growing incident volumes.
#BigPanda#AgenticITOps
You don't need perfect runbooks to start using AI agents in ITOps.
Start with existing ticket history and ITSM data. Test agents on known issues, keep humans in control, and expand autonomy as agents prove reliable.
https://t.co/FoO91L1kHu
A wrong escalation doesn't end at L1.
34% of L1 NOC incidents are misrouted, leaving L2/L3 engineers spending 41 hours/month on work that should've been resolved earlier.
The mistake happens at L1. The cost moves downstream.
IT operations shouldn't scale by adding more manual work.
At #GartnerIOCS EMEA, let's talk about how Agentic ITOps can change that.
π London | Nov 16β17 | Booth #401
Meet BigPanda: https://t.co/R8WYDIf8tR
#BigPanda#AgenticIT
AI made writing code faster. But operating it? That's another story.
More releases. More dependencies. More incidents.
The bottleneck has shifted from building software to operating it.
Enterprise IT needs a new operating model: Agentic ITOps.
#BigPanda#ITOps
More tickets. More escalations. Higher outsourcing costs.
At some point, adding headcount stops being the answer.
Here are 4 signs your IT operations are ready for AI agents.
#BigPanda#AgenticITOps
More AI agents β scalable IT operations.
The real challenge? Moving beyond isolated pilots to an operating model built for shared context, governance, and autonomy.
Here's what it takes: https://t.co/3hZr7Qc4NC
#BigPanda#AgenticITOps
600 people. Still not fast enough.
More L1 headcount doesn't eliminate the delays caused by manual investigation, knowledge transfer, and escalation.
Tal explains why IT operations needs a different approach to scale.
#BigPanda#AgenticITOps
A bank doesn't stop running when its doors close.
Every transaction depends on interconnected systems working 24/7. When one fails, the impact can spread fast.
Here's what it takes to keep modern banking running.
#BigPanda#HowItRuns#ITOps
We're heading to #GartnerIOCS EMEA in London! π¬π§
Join BigPanda Nov 16β17 to talk Agentic ITOps and the future of IT operations.
π Booth #401
https://t.co/lyHhS56Wqn
#BigPanda#GartnerIOCS
An AI agent that works in a demo isn't necessarily ready for production.
Without operational context, governance, and workflow alignment, even promising pilots can stall.
Here's how to avoid that outcome: https://t.co/LcVQhEhp8z
#BigPanda#ICOS#Gartner#AgenticIT
100,000 monthly alerts across 25 tools. Thatβs what Autodeskβs IT team faced.
With BigPanda, Autodesk achieved 69% fewer incidents and an 85% improvement in MTTR.
See how: https://t.co/sl9ddMXOoa
#BigPanda
AI is accelerating software delivery. Can IT operations keep up?
Our new 90-day leadership playbook outlines the decisions leaders need to make to put Agentic ITOps into action.
Get the playbook π
https://t.co/ofvkIT1DZV
#BigPanda#ITOperations
Would you trust AI to act without understanding your IT environment?
Enterprise AI needs context, memory, and guardrails - not just a model.
Missed our AI SRE webinar? Watch on demand: https://t.co/UwUXD52tMX
#BigPanda#AgenticIT
Your L1 vendor gets paid per ticket. So what happens when ticket volume goes up?
Their revenue can go up with it.
That's the problem with volume-based pricing.
We break down the hidden costs in September's Agentic ITOps Dispatch. π
#BigPanda#ITOps
In January, we made 5 predictions for Agentic ITOps in 2026.
Nine months later:
3 came true.
1 is still playing out.
1 was partly right.
The takeaway? Context, data access, and trusted autonomy matter more than the model.
Here's the scorecard β
#BigPanda#AgenticAI#ITOps