How to use ChatGPT with Asana
How to use ChatGPT with Asana
Asana
30 janv. 2026


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Not sure what to do next with AI?
Assess readiness, risk, and priorities in under an hour.
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Connect the Asana app for ChatGPT to plan, create, and update work straight from chat. Then layer automations (Zapier/Make/Pipedream) or Asana’s AI features and AI Teammates to summarise status, draft updates, and turn conversations into coordinated tasks. This guide covers setup, best‑practice prompts, governance, and real‑world playbooks.
Who this guide is for
Operations, PMO, Marketing, IT, and RevOps leaders who want a practical, compliant way to pair conversational AI with Asana—without creating “workslop.” We’ll show how to keep humans in the loop, preserve audit trails, and measure ROI.
TL;DR checklist
Enable Asana for ChatGPT with sync (OAuth).
Pilot three use cases: status summaries, meeting‑to‑task capture, backlog grooming.
Add buttons/automations for repeat steps (create tasks, assign, due dates, webhooks).
Standardise prompt templates and approval rules (who can publish to Asana).
Track minutes saved and quality scores on a simple dashboard.
Part 1 — Setup & connection
1) Turn on the Asana app in ChatGPT
In ChatGPT, go to Settings → Apps → Asana.
Click Connect, choose your Asana workspace, approve scopes (read/write).
Toggle Sync so ChatGPT can reference projects, tasks, and comments in answers.
Test with: “Show my tasks due this week in the Marketing Roadmap project and draft a status update.”
Tip: Create a dedicated Service Account or restricted App Profile in Asana for integrations, with least‑privilege permissions.
2) Optional: no‑code automations
Zapier / Make: Common flows include “summarise thread with ChatGPT → create Asana task,” “new Asana project → generate assistant/instructions,” and “new task → AI draft subtasks.”
Pipedream: Event‑driven scripts combining Asana webhooks and OpenAI for bespoke logic.
Email/Slack: Use ChatGPT to refine text, then ship to Asana through native Slack/Email‑to‑Asana routes.
3) (Advanced) Custom GPT with Asana API
Build a private GPT with Actions pointing at Asana’s API (tasks, projects, comments).
Enforce guardrails (allowed endpoints, rate limits, project allow‑list).
Log all actions to a governance project in Asana.
Part 2 — Core use cases & prompt recipes
Each recipe pairs a chat goal, a safe‑by‑default prompt, and a publish step that preserves auditability.
A) Project status in one prompt
Goal: replace manual weekly reports.
Prompt:
“You are a project analyst. Summarise the status of {Project} for {Timeframe} using Asana data only. List accomplishments, blockers, risks, and next steps. Include task links. Keep to 150 words.”
Publish: paste to a Status Update task or Portfolio Update; capture reviewer sign‑off.
B) Meetings → decisions → actions
Goal: capture outcomes, not just notes.
Prompt:
“From the following notes, extract decisions, owners, due dates, and risks. Create tasks in {Project} with the ‘Meeting’ tag and link back to this page.”
Publish: ChatGPT creates tasks via the Asana app; meeting host reviews and assigns.
C) Backlog triage & grooming
Goal: reduce backlog bloat.
Prompt:
“Cluster these 50 backlog tasks by theme, flag duplicates, and suggest the top 10 for sprint {n} with rationale. Output as a table with task IDs.”
Publish: move/close tasks with bulk edits; comment with AI rationale for traceability.
D) Risk/issue scans
Goal: spot hidden blockers.
Prompt:
“Scan {Project/Portfolio} for tasks with overdue dates, unassigned owners, or blocked dependencies. Propose fixes.”
Publish: create a ‘Blockers’ section and assign follow‑ups.
E) RFP / Campaign asset drafting
Goal: draft faster from Asana context.
Prompt:
“Using the {Project} briefs and approved messaging tasks, draft a {deliverable} in 200 words with citations back to task URLs. Mark anything uncertain with ‘[VERIFY]’.”
Publish: attach draft to task; route for approval.
Part 3 — Playbooks (step‑by‑step)
Playbook 1: Turn a Slack thread into a tracked task
In Slack, summarise the thread with ChatGPT.
Trigger a zap/make scenario: Slack message → ChatGPT summary → Asana task (project, assignee, due date).
Auto‑add a comment with the Slack permalink.
Metric: minutes saved per incident × frequency.
Playbook 2: Weekly portfolio roll‑up in 5 minutes
Ask ChatGPT: “Summarise portfolio {Name} highlights/blockers this week from Asana.”
Paste draft to Asana Portfolio Update; link top five tasks.
Stakeholders reply in Asana; ChatGPT refines next week’s update using comments.
Playbook 3: Intake → scoped task list
Ask: “Convert this intake text into tasks with effort t‑shirt sizes (S/M/L) and suggested owners.”
Create tasks and subtasks in the ‘Intake’ project.
Add an automation: new ‘Intake’ task moves to ‘Planned’ when effort + owner are set.
Playbook 4: Sprint review companion
“Create a sprint review outline for {Team}, pulling completed tasks and any tasks with ‘needs‑demo’ tag.”
Generate talking points; link tasks.
Create a ‘Retrospective’ task with AI‑extracted themes and owners.
Part 4 — Governance, security & data handling
Least privilege: connect ChatGPT with the narrowest workspace scopes. Use a service account for automations.
Auditability: require human confirmation before destructive actions (delete/move). Keep AI outputs as comments first; convert to tasks after review.
Provenance: label AI‑generated content (e.g., [AI‑Draft]) and keep citations/links to source tasks.
Rate limits: stagger bulk actions; prefer batches (e.g., 25 tasks at a time).
PII/confidential: keep sensitive details in Asana custom fields or secure docs; reference rather than paste raw data into prompts.
Part 5 — Measuring impact
Track a simple formula: minutes saved per run × runs/week × team size × 52.
Add quality metrics: status freshness (% updated this week), backlog size, time‑to‑assign, PRD/RFP approval cycles. Surface KPIs in an Asana dashboard and review monthly.
Troubleshooting & FAQs
I can’t see my projects in ChatGPT.
Reconnect the Asana app, confirm workspace selection, and check permissions. If using a service account, add it to the projects.
The model hallucinates tasks.
Turn on app sync and ask for answers “from Asana data only.” Include task IDs/links in outputs for verification.
Task creation is noisy.
Route AI outputs to a staging project for review; publish only after approval. Use rules to auto‑archive rejected items.
We want fully autonomous agents.
Start with assisted mode. Add guardrails (allow‑listed projects/endpoints). Move to autonomy only for low‑risk workflows.
Next Steps
Want these playbooks live in your workspace?
Book a 60‑minute working session. We’ll connect Asana ↔ ChatGPT, set up one no‑code automation, and deliver a dashboard to track time saved.
Connect the Asana app for ChatGPT to plan, create, and update work straight from chat. Then layer automations (Zapier/Make/Pipedream) or Asana’s AI features and AI Teammates to summarise status, draft updates, and turn conversations into coordinated tasks. This guide covers setup, best‑practice prompts, governance, and real‑world playbooks.
Who this guide is for
Operations, PMO, Marketing, IT, and RevOps leaders who want a practical, compliant way to pair conversational AI with Asana—without creating “workslop.” We’ll show how to keep humans in the loop, preserve audit trails, and measure ROI.
TL;DR checklist
Enable Asana for ChatGPT with sync (OAuth).
Pilot three use cases: status summaries, meeting‑to‑task capture, backlog grooming.
Add buttons/automations for repeat steps (create tasks, assign, due dates, webhooks).
Standardise prompt templates and approval rules (who can publish to Asana).
Track minutes saved and quality scores on a simple dashboard.
Part 1 — Setup & connection
1) Turn on the Asana app in ChatGPT
In ChatGPT, go to Settings → Apps → Asana.
Click Connect, choose your Asana workspace, approve scopes (read/write).
Toggle Sync so ChatGPT can reference projects, tasks, and comments in answers.
Test with: “Show my tasks due this week in the Marketing Roadmap project and draft a status update.”
Tip: Create a dedicated Service Account or restricted App Profile in Asana for integrations, with least‑privilege permissions.
2) Optional: no‑code automations
Zapier / Make: Common flows include “summarise thread with ChatGPT → create Asana task,” “new Asana project → generate assistant/instructions,” and “new task → AI draft subtasks.”
Pipedream: Event‑driven scripts combining Asana webhooks and OpenAI for bespoke logic.
Email/Slack: Use ChatGPT to refine text, then ship to Asana through native Slack/Email‑to‑Asana routes.
3) (Advanced) Custom GPT with Asana API
Build a private GPT with Actions pointing at Asana’s API (tasks, projects, comments).
Enforce guardrails (allowed endpoints, rate limits, project allow‑list).
Log all actions to a governance project in Asana.
Part 2 — Core use cases & prompt recipes
Each recipe pairs a chat goal, a safe‑by‑default prompt, and a publish step that preserves auditability.
A) Project status in one prompt
Goal: replace manual weekly reports.
Prompt:
“You are a project analyst. Summarise the status of {Project} for {Timeframe} using Asana data only. List accomplishments, blockers, risks, and next steps. Include task links. Keep to 150 words.”
Publish: paste to a Status Update task or Portfolio Update; capture reviewer sign‑off.
B) Meetings → decisions → actions
Goal: capture outcomes, not just notes.
Prompt:
“From the following notes, extract decisions, owners, due dates, and risks. Create tasks in {Project} with the ‘Meeting’ tag and link back to this page.”
Publish: ChatGPT creates tasks via the Asana app; meeting host reviews and assigns.
C) Backlog triage & grooming
Goal: reduce backlog bloat.
Prompt:
“Cluster these 50 backlog tasks by theme, flag duplicates, and suggest the top 10 for sprint {n} with rationale. Output as a table with task IDs.”
Publish: move/close tasks with bulk edits; comment with AI rationale for traceability.
D) Risk/issue scans
Goal: spot hidden blockers.
Prompt:
“Scan {Project/Portfolio} for tasks with overdue dates, unassigned owners, or blocked dependencies. Propose fixes.”
Publish: create a ‘Blockers’ section and assign follow‑ups.
E) RFP / Campaign asset drafting
Goal: draft faster from Asana context.
Prompt:
“Using the {Project} briefs and approved messaging tasks, draft a {deliverable} in 200 words with citations back to task URLs. Mark anything uncertain with ‘[VERIFY]’.”
Publish: attach draft to task; route for approval.
Part 3 — Playbooks (step‑by‑step)
Playbook 1: Turn a Slack thread into a tracked task
In Slack, summarise the thread with ChatGPT.
Trigger a zap/make scenario: Slack message → ChatGPT summary → Asana task (project, assignee, due date).
Auto‑add a comment with the Slack permalink.
Metric: minutes saved per incident × frequency.
Playbook 2: Weekly portfolio roll‑up in 5 minutes
Ask ChatGPT: “Summarise portfolio {Name} highlights/blockers this week from Asana.”
Paste draft to Asana Portfolio Update; link top five tasks.
Stakeholders reply in Asana; ChatGPT refines next week’s update using comments.
Playbook 3: Intake → scoped task list
Ask: “Convert this intake text into tasks with effort t‑shirt sizes (S/M/L) and suggested owners.”
Create tasks and subtasks in the ‘Intake’ project.
Add an automation: new ‘Intake’ task moves to ‘Planned’ when effort + owner are set.
Playbook 4: Sprint review companion
“Create a sprint review outline for {Team}, pulling completed tasks and any tasks with ‘needs‑demo’ tag.”
Generate talking points; link tasks.
Create a ‘Retrospective’ task with AI‑extracted themes and owners.
Part 4 — Governance, security & data handling
Least privilege: connect ChatGPT with the narrowest workspace scopes. Use a service account for automations.
Auditability: require human confirmation before destructive actions (delete/move). Keep AI outputs as comments first; convert to tasks after review.
Provenance: label AI‑generated content (e.g., [AI‑Draft]) and keep citations/links to source tasks.
Rate limits: stagger bulk actions; prefer batches (e.g., 25 tasks at a time).
PII/confidential: keep sensitive details in Asana custom fields or secure docs; reference rather than paste raw data into prompts.
Part 5 — Measuring impact
Track a simple formula: minutes saved per run × runs/week × team size × 52.
Add quality metrics: status freshness (% updated this week), backlog size, time‑to‑assign, PRD/RFP approval cycles. Surface KPIs in an Asana dashboard and review monthly.
Troubleshooting & FAQs
I can’t see my projects in ChatGPT.
Reconnect the Asana app, confirm workspace selection, and check permissions. If using a service account, add it to the projects.
The model hallucinates tasks.
Turn on app sync and ask for answers “from Asana data only.” Include task IDs/links in outputs for verification.
Task creation is noisy.
Route AI outputs to a staging project for review; publish only after approval. Use rules to auto‑archive rejected items.
We want fully autonomous agents.
Start with assisted mode. Add guardrails (allow‑listed projects/endpoints). Move to autonomy only for low‑risk workflows.
Next Steps
Want these playbooks live in your workspace?
Book a 60‑minute working session. We’ll connect Asana ↔ ChatGPT, set up one no‑code automation, and deliver a dashboard to track time saved.
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Génération
Numérique

Bureau au Royaume-Uni
33 rue Queen,
Londres
EC4R 1AP
Royaume-Uni
Bureau au Canada
1 University Ave,
Toronto,
ON M5J 1T1,
Canada
Bureau NAMER
77 Sands St,
Brooklyn,
NY 11201,
États-Unis
Bureau EMEA
Rue Charlemont, Saint Kevin's, Dublin,
D02 VN88,
Irlande
Bureau du Moyen-Orient
6994 Alsharq 3890,
An Narjis,
Riyad 13343,
Arabie Saoudite
Numéro d'entreprise : 256 9431 77
Conditions générales
Politique de confidentialité
Droit d'auteur 2026










