Apple @ Work Podcast: Agentic networking actions

The conversation around artificial intelligence in the enterprise is shifting from passive tools to active agents. According to the latest episode of the Apple @ Work podcast, brought to you by Mosyle, the industry is moving toward agentic networking actions. This transition marks a significant change in how organizations manage their digital infrastructure and security protocols.

Mosyle positions itself as the only Apple Unified Platform capable of handling deployment and protection seamlessly. With over 45,000 organizations relying on their solution, the focus is on making millions of Apple devices work-ready without manual effort. This scale of adoption highlights the growing demand for automated, professional-grade management tools in modern workplaces.

Shirish Nimgaonkar from eBlissAI joins the discussion to provide deep insights into this evolving landscape. As an Entrepreneur-in-Residence at Harvard Business School, he brings a unique academic and practical perspective to the table. His involvement underscores the seriousness with which top institutions are approaching the integration of AI in business operations.

The core of the episode revolves around agentic solutions and their impact on endpoint management. Unlike traditional software that waits for user commands, agentic AI can anticipate needs and execute tasks autonomously. This capability is particularly valuable for maintaining security and compliance across large fleets of devices without constant human intervention.

Nimgaonkar also discusses the broader future of AI in enterprise environments. His role on the Board of TiE Boston and the Governing Council at AIF adds weight to his arguments about strategic implementation. The conversation suggests that successful adoption requires more than just technology; it demands a fundamental rethink of organizational workflows.

For IT leaders, the implication is clear. The era of manual device configuration is ending. Organizations must prepare for a future where AI agents handle routine maintenance, threat detection, and policy enforcement. This shift allows human teams to focus on higher-level strategic initiatives rather than repetitive technical tasks.

What this means for you is that you should start experimenting with autonomous workflows now. Consider using an AI assistant to draft a policy document for automated device onboarding. Try this prompt: "Create a step-by-step checklist for an AI agent to verify security compliance on new macOS devices before granting network access."