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Ivanti Agentic AI for ITSM

Meet your digital teammate. Persona-based AI agent designed for critical ITSM workflows. Transform IT operations with AI agents that plan, coordinate, and execute autonomously, delivering measurable business impact through intelligent automation. Your conversational front door to IT that replaces forms with natural language, cutting ticket load and improving data quality through guided capture.

The AI vendors just started watching the meter. CFOs need to watch the return.

On June 18, OpenAI gave ChatGPT Enterprise admins new credit usage analytics and spend controls. It’s a single view of credit consumption broken down by user, product, and model, default workspace budgets, per-group limits, and a Cost API for pulling the data into their own systems. Two days earlier, Microsoft shipped Copilot Cowork with spending limits, budget allocation, usage alerts, and user-level caps. This is a step in the right direction.

Ship Reliable AI Faster: How to Operate AI Agents with Control and Confidence

Replace "AI shipped on hope" with an operating model that holds up once real users depend on it. AI quality is multi-dimensional, covering accuracy, tone, safety, and faithfulness to user data, and can't be debugged from outputs alone. Without visibility into what their AI actually did in production, teams miss regressions, reverse-engineer chains by hand, and watch a single bad answer erode trust built over hundreds of right ones.

Challenges designers face in open source (and how to fix them)

Open source software (OSS) is a cornerstone of modern technology. According to the Linux Foundation, it powers up to 90% of software tools used today. Unlike proprietary software, OSS is developed collaboratively, meaning its code is available for anyone to use, change, and distribute. Because OSS projects have historically been driven by developers, they tend to be highly flexible and functional, but they can lack critical usability considerations.

Language AI to physical AI explained

What is physical AI? Physical AI embeds machine learning directly into hardware, enabling algorithms to interact, move, and perform autonomous tasks in the physical world. Traditionally, robots relied on precise, hardcoded coordinates; if an object shifted by a single millimeter, the entire system failed. Today, robotics is moving past rigid automation toward truly adaptive architecture. Neural networks help machines process raw sensor data in real time. Consequently, machines can dynamically reason through the unpredictable physical world.

Using Technology to Simplify Contract Review and Reduce Risk

Contracts shape how a business works, grows, and protects itself. For construction firms, each agreement can carry key duties, deadlines, payment terms, scope rules, and risk points. Tools like Document Crunch help teams review these details with more clarity before work moves ahead.