/answers/how-to-run-project-retrospectives-with-ai/index.md · 42 lines
---
title: "How to run project retrospectives with AI"
description: "Start from the project timeline, change log, issue list, meeting notes and short anonymous input from the team. AI can draft a neutral summary of what went well, what was hard and where time was lost, group similar points, and link them to lessons from past projects. The team discusses the summary together, keeps it blameless, chooses a few changes with owners, and the lead checks next time whether they happened."
url: https://lidvizion.ai/answers/how-to-run-project-retrospectives-with-ai/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
[Direct answers](https://lidvizion.ai/answers/)
# How can a team use AI to run better project retrospectives, so lessons learned turn into changes instead of being forgotten?
Start from the project timeline, change log, issue list, meeting notes and short anonymous input from the team. AI can draft a neutral summary of what went well, what was hard and where time was lost, group similar points, and link them to lessons from past projects. The team discusses the summary together, keeps it blameless, chooses a few changes with owners, and the lead checks next time whether they happened.
## What this means in practice
- Use the timeline, change log, issues, meeting notes and anonymous team input as the source
- Draft a neutral summary of what went well, what was hard and where time was lost
- Group similar points and link them to lessons from past projects
- Keep the discussion blameless and focused on process, not people
- The team picks a few changes with owners and checks them next time
## How Lid Vizion approaches it
We start with the business decision and operating context, define ownership and measurable milestones, then use configuration, integrations, automation, or custom software only where each earns its place.
## More on Automation & custom AI
- [How can a services or project team use AI to see who is available for upcoming work, so new projects are not promised before there are people to deliver them?](https://lidvizion.ai/answers/how-to-plan-team-capacity-with-ai/)
- [How can a company use AI to organize documents for an investor or buyer data room, so diligence questions are answered faster and nothing important is missing?](https://lidvizion.ai/answers/how-to-prepare-a-due-diligence-data-room-with-ai/)
- [How can a project team use AI to pull together closeout and handover documents, so the client or operations team has everything they need when the project ends?](https://lidvizion.ai/answers/how-to-write-project-closeout-documents-with-ai/)
[Compare services](https://lidvizion.ai/services/) · [Use a planning tool](https://lidvizion.ai/tools/) · [Explore workflow use cases](https://lidvizion.ai/use-cases/) · [More direct answers](https://lidvizion.ai/answers/)
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