Cone Health
Large multi-hospital system
Integrated operational visibility across infrastructure.
Healthcare IT operations
Unified operational visibility for health systems
Network, compute, applications, EHR, and security each have their own tools and their own owners. When something breaks, the first 20 to 40 minutes go to figuring out which silo actually owns it. We help health systems close that gap.
Healthcare IT runs in silos
For health systems in the 150 to 2,500 bed range, the operational pattern is consistent. Tools are mature inside each domain, but cross-domain incidents are where time is lost:
- 45 to 90 minute average incident bridge before root cause is isolated
- Most major incidents originate at the seam between two domains, not inside one
- Senior on-call attrition runs well above team average
Teams that have closed this gap didn't buy another monitoring platform. They federated what they already had and built correlation logic against their real incident history.
Our approach
Aegis InsightOps for healthcare
InsightOps sits above your existing toolchain (monitoring, logs, APM, ticketing, change management) and correlates across all of them. Private AI inference means models run inside your environment, which makes the product deployable in healthcare contexts that rule out public-cloud AI.
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Federated telemetry
Read-heavy integration with the tools you already own. No rip-and-replace, no monitoring-vendor switch.
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Cross-domain correlation
Correlation logic tuned to your actual incident history across network, compute, applications, and EHR-adjacent systems.
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Private AI inference
Models run inside your environment or a dedicated tenant. Your data is not used to train anything.
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Governed automation
AI surfaces a recommended action. A human or policy approves it. The playbook runs. Every action is logged.
What good looks like
30-50%
MTTR reduction
AI-driven operational intelligence
40-60%
Triage time reduction
Cross-domain incidents
90-95%
Alert noise reduction
Industry-typical with correlation
Healthcare organizations we work with
From large multi-hospital systems to specialty providers, these engagements anchor how we think about operational visibility in healthcare.
Carteret Health Care
Community hospital
Observability and managed services.
Acadia Healthcare
Distributed multi-site
SD-WAN and operational visibility at scale across hundreds of facilities.
Pinehurst Surgical
Specialty provider
Operational resilience.
Why healthcare IT teams pick IVI
Co-managed, not outsourced
We augment your team. You keep governance, visibility, and final authority. We bring execution discipline and 24x7 coverage.
Architecture before tools
Every engagement starts with the design that will actually work in your environment, with your constraints, at your scale. Hardware and software follow.
Healthcare-deployable AI
Private inference architecture means your telemetry, CMDB, and ticket history never leave your environment.
No vendor displacement
We sit on top of the tools you already own. We have never started an engagement by asking a client to switch monitoring vendors.
Next step
Book a What's Possible Review for your team
60 minutes with our CTO and a senior architect. You walk away with a one-page point of view written for your environment and a peer benchmark across similar bed count organizations. No follow-up obligation.
Common questions
Do we have to replace our existing monitoring tools?
No. InsightOps is purpose-built to sit on top of the tools you already own. The integration model is read-heavy. It ingests events, topology, and change data from your existing sources. Rip-and-replace is explicitly not the plan.
Does our telemetry leave our environment?
No. Private AI inference means models run inside your environment or a dedicated tenant. Your data is not used to train anything. This is the architectural decision that makes the product deployable in healthcare contexts that rule out public-cloud AI.
Will AI take automated actions on our systems?
Not until you decide it can. InsightOps uses governed automation triggers. The AI surfaces the recommended action. A human or a policy approves it. The playbook runs. Every action is logged.
How is this different from another AIOps tool?
InsightOps sits above the whole toolchain and correlates across all of it. If your observability data lives in five vendors' platforms, single-vendor AIOps only sees one-fifth of the picture. We deliver it as part of the Aegis co-managed operating model, not as a tool you have to operate yourself.