3 AIOps Solutions Midmarket IT Teams Can Put To Work Now

Which AIOps tools deliver ROI, reduce risk, and scale without adding complexity? Here are three offerings worth watching.

This is part of a series of articles for MES Computing’s AI Week.

It’s AI Week at MES Computing. We’ve explored how midmarket IT leaders can deliver ROI with AI. Now, we turn to the AI operations (AIOps) tools that can help organizations actually run AI—reliably, securely, and cost‑effectively.

[RELATED: Analysis: How the Midmarket Can Deliver ROI With AI]

For midmarket IT leaders, the biggest challenge isn’t deploying AI—it’s operating it at scale. As AI moves from experimentation into business‑critical workflows, AIOps has emerged as one of the most practical ways midsize organizations can extract real value from AI investments.

MES Computing’s reporting and Ready.Set.Midmarket! podcast discussions show that successful midmarket AIOps strategies emphasize visibility, automation, governance, and cost control—not standalone tools or complex, highly customized builds.

What AIOps Means For The Midmarket

AIOps (artificial intelligence for IT operations) combines machine learning and analytics to automate and improve IT operations tasks such as event correlation, anomaly detection, and incident response. Originally coined by Gartner, AIOps is widely considered one of the most practical AI investments for midmarket IT teams looking to reduce noise, improve resilience, and control operational costs.

For the midmarket, AIOps is less about bleeding‑edge experimentation—and more about operational discipline.

Why These Three AIOps Solutions

The AIOps offerings highlighted below reflect three common midmarket operating models:

Together, they illustrate how AIOps shows up in practice across midmarket environments.

1. Integris — AIOps for IT Services

Integris developed an internal AIOps platform that automates IT service delivery and operations—then rolled it out to customers after proving it internally, CRN reported earlier this year.

“We have the ability to take what we have learned, being that ‘client zero,’ and start putting that in front of our clients,” said Integris Chief Transformation Officer Kris Laskarzewski in a February interview with CRN. “Our clients would benefit from exactly the same thing.”

Laskarzewski pointed to manual IT tasks as ideal candidates for automation.

“Imagine an email comes in, or a call comes in,” he said. “Back in the day, we would have a human read that email or listen to that voicemail and decide who should be working on that ticket. We now have technology that can do that automatically—determine who knows the client, who’s worked on similar issues, who’s available—and route the ticket to the best resource. That’s a significant improvement in speed and quality.”

Integris’ approach shows how AIOps can deliver immediate ROI by removing manual decision‑making from service delivery—without requiring a whole platform overhaul.

2. HPE (Aruba Central + Juniper Mist / Marvis) — AIOps for Full‑Stack Visibility

HPE positions AIOps as a key differentiator across its networking portfolio, particularly in network operations, observability, and incident reduction.

“We have true differentiation through the AIOps of both platforms, whether it’s Aruba Central with agentic AI or Juniper Mist with Marvis and Large Experience Models,” HPE CEO Antonio Neri said in a December 2025 interview with CRN.
“We have already integrated [Juniper Networks] Apstra with OpsRamp as part of GreenLake for observability. That gives full‑stack observability compared to Cisco.”

Key AIOps capabilities include:

3. Fortinet — AIOps Embedded in Network Infrastructure

Fortinet’s Artificial Intelligence for IT Operations (Fortinet AIOps) is embedded directly into its networking portfolio, including FortiAPs, FortiSwitches, FortiGates, SD‑WAN, and FortiExtender—hardware with a significant footprint in midsized organizations.

Operational data from these devices feed Fortinet AIOps, powering an interface that provides network visibility, troubleshooting guidance, and AI‑driven analytics for administrators.

For organizations already standardized on Fortinet infrastructure, this embedded AIOps approach offers a lower‑friction path to operational AI—without introducing additional platforms or complexity.

The Takeaway for Midmarket IT Leaders

AIOps is proving to be one of the clearest AI ROI paths for the midmarket. Successful AIOps adoption is less about replacing IT teams and more about:

As AI becomes integral to day‑to‑day operations, AIOps is quickly moving from a “nice‑to‑have” to a foundational capability for midmarket IT organizations.

Coming up in AI Week: