Operations | Monitoring | ITSM | DevOps | Cloud

What the Push for Faster Claims Processing Means for Your Documentation Standards

The insurance industry is facing a massive operational shift. Claims managers are under intense pressure from upper management and policyholders to accelerate their processing timelines. Standing still is no longer an option if an organization wants to stay competitive in a crowded market. Industry leaders are already taking aggressive steps to meet this demand for faster resolutions. A recent Deloitte survey of 200 US insurance executives found that 76% have already implemented generative AI in at least one business function to accelerate their daily processes.

AI Agents Are the New Employees: The Identity & Security Crisis Enterprise IT Must Solve

As AI agents become more autonomous, enterprises face a new challenge: How do you secure a workforce that isn't human? In this episode of Agents of IT, Fran Fernandez, Zach Austin, and Ian Coppock explore the growing identity and security challenges surrounding Agentic AI. From permissions and governance to digital identities and access controls, the team breaks down what enterprise leaders need to know before deploying AI agents at scale.

Why Multi-Agent AI Workflows Need a Control Plane

AI is transforming how infrastructure and platform teams design, deploy, and operate systems. As organizations move from experimentation to production, a clear pattern is emerging. AI can decide what should change, but it cannot safely control how those changes are executed. This creates a gap in modern architectures. That gap is filled by a control plane. That control plane already exists in Puppet Enterprise Advanced.

How AI Is Being Used to Fast-Track Patients in Healthcare

Healthcare systems are under growing pressure due to rising patient demand and limited clinical staff. To manage this, hospitals and clinics are increasingly using artificial intelligence to speed up patient flow and reduce waiting times. AI helps by automating triage, improving scheduling, and supporting clinicians with faster decision-making. The result is a more efficient system where patients can be assessed and treated sooner.

How Small Law Firms Can Compete With Large Firms Using the Right Software

Small law firms lose clients to larger competitors every day - not because they lack talent, but because they look harder to work with. Slow responses, billing confusion, missing documents, unanswered emails. None of these are talent problems. They are operational problems, and nearly all of them are fixable with the right legal practice management software.

8 IT Infrastructure Automation Use Cases to Prioritize

IT infrastructure automation sounds simple enough on the surface, right? You take repetitive infrastructure work, turn it into automated workflows, and give engineers more time for higher-value problems. This may seem easy, but in practice, it gets more interesting. Modern IT environments are spread across cloud platforms, legacy systems, identity tools, ITSM platforms, monitoring systems, network devices, and business-critical applications.

How Real-Time Lending Decisions Are Improving Through AI

Lending companies are changing fast because of artificial intelligence. In the past, loan decisions could take days or even weeks. Now, many lenders can approve or reject applications in seconds. This shift is mainly driven by better data access, automation, and smarter decision systems. AI helps lenders understand risk more clearly and make decisions in real time. It also improves customer experience by making borrowing faster and simpler.

AI Found 18 OpenSSL Vulnerabilities. Now Your Team Has to Patch Them.

On June 9, 2026, the OpenSSL project released patches covering 18 vulnerabilities across its supported releases. The headline flaw, CVE-2026-45447, is rated high severity and has the potential for remote code execution. Not too long ago, a security advisory with 18 vulnerabilities would have been routine. Microsoft’s Patch Tuesday provided a predictable cycle, and organizations operated with the expectation of a meaningful remediation window. That model is under pressure.