Building a Complete Meeting Processor: From Transcript to Tasks, Notes, and Tickets
Content designed for developers, engineers, sysadmins, and other hands-on tech professionals who want to deepen their knowledge of AI and emerging technologies through practical guidance and real-world use cases
Turn meeting transcripts into filed notes, tasks, and tickets automatically. A practical walkthrough of building an AI-powered meeting processor using Plaud, Zapier, and Claude.
Native AI tools are impressive. They're also built for a world that doesn't match how MSPs actually work. Here's where custom solutions still earn their keep.
What does coming back from PTO look like when you're an MSP CIO with AI tools, automation workflows, and a teenager in tow? Coffee runs, Claude Code, Microsoft outages, and emotional support pizza stuffies.
California's new AI regulations effective January 1, 2026, hold businesses accountable for AI-related harm by eliminating the autonomous defense in lawsuits. Key laws cover training data disclosure, algorithmic pricing, and transparency requirements, impacting organizations of all sizes. This comprehensive framework demands compliance from AI developers and users while establishing penalties for violations.
There's a growing gap between what "AI implementation" has come to mean and what actually delivers value. When I dig into what would genuinely move the needle for most businesses, the answer almost always comes back to automation: eliminating manual steps, connecting disconnected systems, and removing repetitive work. The chatbot demo is exciting. The workflow that saves your team ten hours a week is more useful.
The landscape for cybersecurity and data privacy compliance in 2026 is extensive, with new federal mandates, state laws, and international regulations emerging. Key regulations include CIRCIA, SEC Cybersecurity Disclosure Rules, CMMC 2.0, California’s enhanced CCPA, and the Colorado AI Act. Organizations must adapt quickly or face significant risks and penalties.