# AI chats as part of the project record: what to keep when work changes hands

The reasoning behind a project now lives in personal AI chats. Three ways to keep it when work changes hands, with the trade-offs, privacy included.

## The short answer

Treat an AI chat like a meeting: keep the conclusions in the project record, not the whole conversation. When work changes hands, the decisions, facts and final files from the chat should move to where the project lives. Share the full chat only when someone needs the reasoning, and check what personal or client data it contains first.

Not long ago the reasoning behind a project lived in emails, documents and meeting notes. Now a good part of it lives in chats with Claude or ChatGPT, and those chats belong to one person. This article looks at what that means when a project changes owner, and at three ways to deal with it.

## Where the reasoning went

Think about how a decision gets made today. Tom uploads the client’s requirements to his assistant, asks it to compare two approaches, pushes back on its first answer, adds a constraint from a call and lands on option B. The decision is sound. The trail that explains it is in Tom’s chat history.

That is fine while Tom runs the project. It becomes a problem in three situations:

- **Tom hands the project over.** The new owner sees option B in the plan but not why option A was dropped.
- **Tom leaves the company.** His chats go with his account. We cover that case in [knowledge transfer when an employee leaves](/blog/knowledge-transfer-when-an-employee-leaves/).
- **Someone questions the decision later.** Six months on, nobody can show what was considered.

The answer is not to save every chat. Most of a chat is drafting: wrong turns, rephrasing, a question about something unrelated. What the project needs is the part that changed something.

## What belongs in the record

A useful rule: if it would have gone into the minutes of a meeting, it belongs in the record. That means:

- [ ] Decisions, with a line on why and what was rejected.
- [ ] Facts that others will rely on: amounts, dates, scope, names.
- [ ] Final files, not the drafts that led to them.
- [ ] Open questions the chat raised but did not answer.
- [ ] Assumptions the assistant was given, such as “budget is fixed at €20,000”.

What does not belong: drafts, the assistant’s first attempts, personal asides and anything pasted in only to get a summary, such as a whole email thread with people’s contact details.

## Three ways to bring chats into a handover

### 1. Paste a summary into the ticket or project doc

Ask the assistant to summarise the decisions and facts, check it, and paste it into the task, ticket or project document. Works with any assistant and any tool.

The weak spots: files have to be attached by hand, the summary is only as good as your check, and the new owner still has to load it into their own assistant to continue. Nothing tells you whether they read it.

### 2. Share the chat link

How much a link carries depends on the assistant. Claude’s Share creates a snapshot of the chat up to the moment you share it. Later messages stay private, attached files are not included, and on Team and Enterprise plans only people in your organisation can open the link.

Source: [Claude Help Center: sharing chats](https://support.claude.com/en/articles/10593882), last verified 2026-10-15.

In ChatGPT, a chat inside a shared project is visible to the project’s members: anyone with chat access can see and use the project’s chats, files and instructions.

Source: [OpenAI Help Center: what is a project in ChatGPT](https://help.openai.com/en/articles/10169521-what-is-a-project-in-chatgpt), last verified 2026-10-15.

A link is the most faithful record of the reasoning. It is also the least edited. The reader gets everything, including what you would not have written down, and has to work out which of the decisions still stand. Our guide on [how to share a Claude chat with a colleague](/blog/how-to-share-a-claude-chat-with-a-colleague/) walks through what the snapshot leaves out.

### 3. A structured handoff

The third way is to pass the conclusion as a handoff: a summary, the facts on their own lines, the final files, a deadline and an owner who confirms. It takes the discipline of option 1 and adds a signal that the work was picked up. The [handover note template](/blog/how-to-write-a-handover-note/) gives you the structure if you write it by hand.

## The trade-offs side by side

| | Summary in the ticket | Shared chat link | Structured handoff |
| --- | --- | --- | --- |
| Keeps the reasoning | Only what you summarise | All of it, as it was | The conclusions and key facts |
| Files travel | By hand | Depends on the tool; Claude’s snapshot leaves attachments out | Yes, attached to the handoff |
| New owner can continue in their assistant | After pasting it in | Can read; continuing depends on the tool | Yes, if the tool passes it to their assistant |
| You know it was picked up | No | No | Yes, if it has a status |
| Privacy risk | Low: you choose what goes in | Higher: everything in the chat goes | Low to medium: you choose, the tool controls who sees it |

## The privacy part

A chat is often more candid than any document. People paste in client emails, a colleague’s CV or a draft they would never send. When a chat becomes part of a project record, all of that can travel with it.

Three habits keep this under control:

- **Read before you share.** If a chat holds personal data that the next owner does not need, summarise instead of sharing the link.
- **Share with a person, not a room.** A link sent to one colleague is different from a chat in a shared project everyone can open.
- **Know who processes what.** Your company’s agreement with Anthropic or OpenAI covers the chat. Any tool you use to pass work on has its own role. Our article on [GDPR when passing client data between AI assistants](/blog/gdpr-passing-client-data-between-ai-assistants/) covers controllers, processors and what to ask. It is general information, not legal advice.

## How Colle handles it

Colle is the third option done inside the assistant. Tom says to Claude or ChatGPT:

> Give Rachel the client requirements and our decision on option B. She runs the project from Monday.

His assistant writes the summary, records the facts (the decision, the budget, the dates) and attaches the files. Rachel is notified at once, accepts, and her own assistant has the context to continue. The summary, facts and files stay together in a case. If a fact changes later, the change is recorded with its history, so the record answers “why” six months on.

Work sent to a person is visible only to the sender and the recipients. Work sent to a space notifies its members, and in a closed space only members see the case. Colle stores this in the EU (Frankfurt); see [security](/security/) for the details. For the wider question of what has to move with work, read [AI to human handoff: what has to travel](/blog/ai-to-human-handoff/).

[Join the Colle pilot](https://www.trycolle.com/#pilot)

## When you do not need Colle

If your projects already keep decisions in a ticket or a doc, and the people taking over do not work in an assistant, option 1 is enough. If a small team works in one shared ChatGPT project and is comfortable with everyone reading everything, the project itself is the record. Colle helps when work moves between named people, across assistants, and you need to know it was taken. See how it works for [project teams](/use-cases/projects/).

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Canonical page: https://www.trycolle.com/blog/ai-chats-in-project-handovers/ · Last updated: 2026-10-18