PROJECT MANAGEMENT

Chat preflight: ask before assigning to confirm capacity is clear

A chat assistant a lead can ask 'can I give this task to X' before assigning; it checks the assignee's live Asana sprint load, returns a go or no-go with the numbers.

CategoryProject Management
Enginepaperclip
Difficultyintermediate
Triggerchat
Steps4
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerChat question: can X take this task?
  • ActionResolve assignee and task, pull live sprint loadAsanaAsana
  • LogicReason go/no-go and find alternative if blocked
  • OutputReply with verdict, numbers, and suggestion

What it does

Before committing an assignment, a lead asks the assistant in chat whether a given person can take a given task. The agent reads that person's live Asana sprint load, the task's effort estimate, and the assignee's capacity, then answers with a clear go or no-go, the projected total, and the headroom left. On a no-go it names a teammate with capacity to spare.

When to use it

Use it for the in-the-moment planning question that happens dozens of times a sprint. It puts the capacity check one message away instead of buried in a board nobody opens mid-conversation.

How it works

  1. 1A chat message asks whether a named person can take a named or linked task.
  2. 2The agent resolves the assignee and task in the Asana sprint project and pulls current committed effort plus the task estimate.
  3. 3It reasons over projected load versus capacity to decide go or no-go.
  4. 4If no-go, it scans teammates for one with enough headroom and the right skills.
  5. 5It replies in chat with the verdict, the exact numbers, and any suggested alternative assignee.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AsanaTasks, projects, milestones — everywhere.
  2. 2
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  3. 3
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  4. 4
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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