For everyday work.

Pharen Chat

Chat answers with your documents, projects, lists and decisions in view. The answer is grounded in your team's work and leads directly to the next step.

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Workspace contextoperating foundation

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From a question to the next step.

Chat uses the approved workspace context. Sources and results remain traceable before anything moves into tasks, Lists or Workflows.

Ask the question

Ask about a project, draft a document or review a decision without explaining the full background again.

Work from real sources

Chat brings in the right documents, data and decisions and makes the basis of the result visible.

Move the result forward

Send the result straight to Projects, Lists or Workflows instead of copying it out of a chat window.

Approved workspace sources

A traceable basis for each result · Review before the work moves on

See what Chat worked from.

Chat uses the approved workspace context. Sources and results remain traceable before anything moves into tasks, Lists or Workflows.

A prompt is quick to write. The context lives in your work.

Separate AI chats do not know the project state, earlier decisions or internal sources. Your team keeps explaining the same background or reviewing answers that miss the work itself.

What Chat can handle.

Chat answers with your documents, projects, lists and decisions in view. The answer is grounded in your team's work and leads directly to the next step.

Workspace-wide questions

Summarising and explaining

Writing and editing

Comparing and reviewing

Planning and structuring

Handoffs to other modules

Questions and answers

Chat

What a concrete workflow looks like

Researching a quote request, with sources instead of gut feeling.

A machine builder with around 60 employees receives a request for a custom part. The sales representative needs a reliable assessment by the next day: can the team deliver, and on what terms?

She asks in Chat: Which comparable orders have we completed in the past two years, and what were the critical points?
Chat searches the shared projects, quotes and decision logs in the workspace and names three comparable cases, each with a link to its source.
From those sources she has an overview compiled: lead time, extra costs, open risks and who was responsible internally at the time.
For technical feasibility she asks specifically for the engineering notes from the last project. Chat shows the paragraph the answer comes from.
The answer becomes a draft reply to the customer, written in the tone of your previous quotes.
She hands the draft to engineering as a task in Projects, with the three reference cases as context. The chat thread stays linked to the case.

What used to take two follow-up questions and an hour of searching folders is now a traceable draft with sources. A person still makes the decision, but on a basis everyone in the team can check.

Chat is the entry point, not the end. These modules pick up the result directly, and these systems supply the context.

Modules in Pharen Hub

Agents When the same question returns every week, the chat assignment becomes an agent with a fixed goal and approval point.
Lists Answers that concern data end up as a record or status change in the right list.
Projects Drafts and decisions from Chat are recorded on the project instead of disappearing in the thread.

External systems

Microsoft 365 and Google Workspace Documents from SharePoint, OneDrive or Google Workspace can, depending on the setup, be shared sources in the workspace.
Outlook and Gmail Connected mailboxes provide requests and commitments as context for the next question.
MCP server Your own data sources can be connected through MCP so Chat also takes existing systems into account.

Frequently asked questions

How does Chat know which sources it may use?

Chat works exclusively with the workspace context that is shared with the person asking. Roles and permissions from Projects, Lists and documents apply in Chat as well. What someone is not allowed to see does not appear in the answer.

Does Chat show what an answer is based on?

Yes. Every answer references the documents, records or decisions it used. You can open the source, check the passage and have the answer corrected before it becomes a task or a list entry.

Does Chat replace our knowledge base?

No, Chat builds on it. It reads the documents, lists and projects you maintain anyway and makes them queryable. The better the workspace is maintained, the more reliable the answers. An empty workspace produces only generic statements, in Chat as well.

To be honest

When Chat is not enough

Chat answers questions and produces drafts that you then carry forward yourselves. If the same task returns every week, involves several steps and needs an approval at the end, an agent is the better tool. It receives goal, sources and stop point once and then works without a new prompt.

View Agents