AI Dominates Productivity Roadmaps
How AI is transforming productivity apps
This kind of resource shift shows how fast AI turned from a nice add on into the main product roadmap for productivity companies. In Double's case, the old work was building workflow software around assistants, while the new work is building drafting, tagging, and task refinement into the service itself. That matters because once AI sits inside the workflow, product managers can shape behavior directly through prompts and context, instead of waiting on longer engineering cycles.
-
Double is a human in the loop service, not pure software. Its assistants use AI to draft emails, classify tasks, and tighten delegation, while humans still handle judgment, coordination, and execution. That makes AI spend here less about replacing labor and more about moving human time up the value chain.
-
The org chart changes with the roadmap. In the panel, Double describes PMs taking on more of the feature building because prompt design and context setup drive product behavior. Taskade describes a similar acceleration on the pure software side, where prototypes and agent workflows can be shipped much faster once the core collaboration system is already built.
-
This also explains why pricing gets unstable. If AI makes each assistant hour more productive, time based billing stops matching value delivered. Double describes moving toward pricing tied to completed outcomes, while Taskade has evolved toward seats plus shared AI credits, a simpler way to sell increasing AI usage inside team workflows.
Going forward, the winners in productivity will look less like static SaaS tools and more like operating systems for work, where AI handles the first draft and humans handle the last mile. That pushes more budget toward AI behavior, context gathering, and workflow design, and less toward traditional feature expansion for its own sake.