AI

AI in ITSM: Use Cases, Benefits & Implementation IT service management teams are under pressure to support more users, more applications, and more complex environments, often without adding headcount. That’s where AI in ITSM comes in. Done well, ITSM AI helps teams reduce repetitive work, route and resolve tickets faster, and shift from reactive support to more proactive service delivery.…

Xantrion joined healthcare and technology leaders at the California Healthcare Innovation Conference to take part in the featured panel, “From AI Hype to Healthcare Impact: A Practical Readiness Approach.” Alongside Suman Mishra of EnsureCare and Iago Maciel of Reefo, we discussed what healthcare organizations need to put in place before AI can deliver measurable value: clear use cases, reliable data, practical…

AI pilots were a smart first move. Most mid market firms have already tested Copilot, used ChatGPT for drafts and summaries, or experimented with a few small automations. In 2026, the sticking point is what comes next. AI adoption stops being a curiosity and becomes an executive responsibility because it touches investment risk, compliance exposure, and measurable business performance at the same time. When…

Recent reporting about Anthropic’s Claude Mythos model has raised understandable questions for business leaders and IT teams. Mythos is an unreleased AI model developed for advanced cybersecurity work through Anthropic’s Project Glasswing, a controlled initiative intended to help major technology and security organizations identify vulnerabilities before attackers can exploit them. According to Reuters, Anthropic is investigating reports that unauthorized users…

Key Takeaways AI tools for lawyers span everything from legal research and contract review to document drafting and case management. Mainstream AI tools like ChatGPT and Claude can handle general productivity tasks, but they carry risks related to hallucinations and client data confidentiality. Legal-specific platforms prioritize verification, citation accuracy, and security compliance. Solo practitioners and large firms have very different…

Artificial intelligence is already being used in investment firms. So the compliance risk isn’t whether AI is being used. It’s whether AI is properly controlled and supervised. In a recent discussion, Graham Roggli of Xantrion and Tito Pombra of Advisor Compliance Consulting outlined practical steps firms can take to adopt AI safely while meeting regulatory expectations. The Reality of AI…

Many AI initiatives start the same way: someone identifies a promising tool, runs a pilot, secures budget approval, and then discovers the infrastructure can’t support it, the data isn’t usable, or the staff doesn’t know how to make it work. An AI readiness assessment evaluates whether your organization can support AI before you commit resources. Skip this step, and you’ll…

Organizations rushing to adopt AI tools all too often discover that technology alone doesn’t guarantee success. Without proper assessment, security controls, and governance frameworks, AI initiatives can actually produce more headaches than they solve. However, a structured, phased approach transforms AI from an experimental technology into a reliable business asset. Each phase builds on the previous one, creating checkpoints that…

AI is a business transformation, not just another piece of software or a standalone technology initiative. In regulated and security-sensitive industries, it also changes how data is handled, how decisions are made, and how organizations remain compliant with legal and professional obligations. AI deployed without governance creates the same risks as any uncontrolled system: exposure, liability, and operational instability. The…

At the recent Association of Legal Administrators (ALA) AI Meeting, Larry Piazza of Lewis and Llewellyn joined Christian Kelly, Chief Technology Officer at Xantrion, to share real-world insights on implementing artificial intelligence in professional services firms. Their session focused on what many organizations are asking right now: How do we adopt AI safely, strategically, and with measurable business impact? Why…

AI literacy is the most in-demand skill of 2025, and 88% of business leaders are prioritizing speeding up their AI adoption. The trend is clear: AI integration is shifting from optional to imperative. The stakes are high. Companies that delay AI adoption risk falling behind in innovation, productivity, and market competitiveness. But there’s good news, too: implementing AI needn’t require…

A transformative shift is underway in professional services, driven by artificial intelligence. For law firms navigating this revolution, the need to balance innovation with ethical responsibility is especially acute.

The EU is leading the way with the world’s first comprehensive AI regulations through the AI Act. Industry leaders predict these standards will shape AI governance worldwide. Against this backdrop, ethical AI practices are becoming essential for businesses of all sizes everywhere.

It seems like you can’t browse the Internet these days without seeing one of the latest artificial intelligence (AI)-powered chatbot technologies mentioned in the news. Headlines about ChatGPT, Bing AI Chat, and Google Bard abound, and each predicts that their new technologies are poised to disrupt the business world. While these technologies are rapidly evolving, according to Bill Gates, they…