Plane vs Asana
Side-by-side trajectory, velocity, and editorial themes.
Plane hardens for enterprise while opening an MCP app surface
Plane is pushing on two fronts at once: enterprise readiness (a redesigned permissions system with custom roles and granular access control) and an expanding data and automation surface (PQL queries in dashboards, editing pages from Plane AI, and now publishing MCP applications from Plane itself). Epics have graduated to a first-class work item type.
The open-source project-management tool is climbing upmarket toward enterprise buyers while wiring itself into the agent ecosystem. Direction points to deeper access controls and more programmable, queryable, AI- and MCP-driven surfaces layered over the core work-tracking model.
Expect continued enterprise access-control depth (audit, SSO/SCIM-adjacent controls) and more MCP- and AI-driven automation, plus richer dashboard querying built on PQL.
Asana keeps maturing AI Studio while hardening enterprise governance and cross-app integrations.
Asana is shipping steadily across three fronts: its AI Studio automation layer, enterprise governance, and integrations with the tools work already lives in. Recent releases add credit-usage visibility for AI Studio rule builders, role-based access control for create permissions, and deeper HubSpot and Slack connections. The cadence is incremental but consistently user-visible — real features, not just maintenance.
Two threads stand out. First, AI Studio is moving from capability to operations: surfacing when automation rules consume credits is the kind of metering-transparency work that shows the AI layer is now something customers budget for, not just try. Second, Asana is shoring up the enterprise wedge — RBAC, admin controls — while making sure inbound work from HubSpot and notifications to Slack carry full context. The product is being shaped for larger, governed deployments.
Expect continued AI Studio depth tied to credit/consumption controls, more granular RBAC reaching general availability, and further two-way enrichment of high-traffic integrations. The credit-visibility move suggests consumption-based AI pricing mechanics will keep surfacing in the product.
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