Quick answer

Asana AI adds smart summaries, status updates, goals, and AI Studio, a no-code builder for workflow agents that triage requests, draft content, and route tasks; AI Studio needs Advanced plans and credits. monday AI adds AI blocks to boards and automations for summarising, categorising, extracting, and drafting, plus AI-assisted formulas and search, available across paid tiers with credit limits. Both charge per seat from about $10 to $12 a month.

Work management platforms hold the context AI needs: who owns what, what is late, what the customer asked for. Both Asana and monday have started using that context, but they have taken different shapes.

Asana: agents built around workflows

Asana's AI Studio lets an operations manager build an agent that reads incoming requests, classifies them, drafts a response, assigns an owner, and updates a status, all from a rule-like builder with prompts at each step. The smart summaries and status updates are useful daily features on top. The catch is that AI Studio sits on Advanced and above, and heavy use consumes credits.

monday: AI inside the board

monday puts AI into the cells and automations people already use. A column can summarise a long text field, categorise a request, or extract a date; an automation can draft an email when a status changes. It feels less like building an agent and more like adding a smart formula, which suits monday's spreadsheet-like audience. Larger AI workflows are possible but less structured than Asana's studio.

Choosing

  • Structured intake, triage, and routing at scale: Asana AI Studio
  • Quick AI touches inside boards your team already runs: monday AI
  • Both: the AI is only as good as the data in the platform; teams that half-use either tool get half the value
  • Both: credits make heavy use a budget line, so pilot before rolling out

Related reading

What is an AI agent? Agentic AI in the enterprise

Bottom line

Asana if you want to build agents that run intake and triage. monday if you want AI sprinkled through boards with minimal setup. In both cases, the platform your team actually uses every day is the one whose AI will pay off.