Tasks and projects inside one workspace vs cross-domain execution across your entire stack AI is getting added everywhere, but the core question stays the same:
Agentic productivity is splitting into two camps: AI employee platforms that give you specialized agents you configure and deploy.
Playbooks + connected apps vs an Autonomous Productivity OS Agentic productivity tools are converging on the same promise: tell software what you want, and it gets it done across your tools.
Capture and summarize meetings vs execute follow-through across your entire work stack AI agents are showing up first where data is abundant and workflows repeat: meetings.
The market is converging on a single idea: agents should execute work, not just talk about it. The difference is where that agent lives and how it gets its power. Microsoft Copilot Studio is Microsoft’s enterprise path: build, govern, and deploy agents deeply inside the Microsoft ecosystem (and Power Platform). InfuseOS is built as an autonomous productivity OS: one command layer that plans and executes across tools, with persistent context.
Agentic automation is finally going mainstream, and Make is one of the most credible incumbents pushing it forward. But there’s a key question behind the hype: Do you want a platform to build agentic workflows, or do you want an OS that executes them for you from a simple command?
One-line commands that execute work vs a unified system-of-action across your whole stack Agentic productivity is shifting from “chat about work” to “software that actually does work”.
Delegate specific tasks vs run cross-domain operating rhythms across your stack AI assistants often fall into two categories: