
Agentic AI for IT Patch Prioritization: Fixing Messy App Data with Autonomous Agents
How autonomous agents triage IT patch backlogs and reconcile messy application inventory data without a 12-month enterprise data cleanup project.
In this video, we show how Agentic AI can turn messy, incomplete application inventory into a prioritized patch list—automatically. Watch how a lead AI agent delegates tasks to specialized sub-agents to clean data, score risk, and recommend patching—even without perfect inputs.
More Human-AI Insights
From AI Assistants to AI Accountability: Why Context Is the Missing Layer
This article explains how JarviSIM and JarviSWARM use context to align business processes with technical code. Readers will learn how to build an AI accountability layer that ensures software implementations align with compliance controls and remain defensible against risk.
The Vibe Engineering Dial: Why Most AI Ideas Should Be Killed
Vibe coding lets you build fast. The danger is building the wrong things fast. Here is the kill-switch discipline that turns rapid prototypes into systems that survive production.
Human-AI Process Intelligence for Better AI Investment Decisions
Most AI investments are sized from vendor decks, not real process data. How Human-AI process intelligence — ARIS plus expert review — produces an AI investment plan grounded in what your operations actually do.
Real-time Ops Insights & Decisions with AI-First Solutions
Real-time operational decisions powered by AI-first dashboards. Stream telemetry, surface what matters, and let humans approve actions in seconds, not weeks.