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In preparation · Seeking early adopters

Your familiar AI.
Your team’s memory.

We are building a way to keep and recall team decisions within the AI conversations you already use.

Illustrative conversation · Planned experience
You

Why did we decide to start with manual input?

Connected AI

To reduce setup effort and evaluate draft quality first. This summary is based on the decision record your team confirmed.

Source

Example: Initial workflow decision note

This is an illustration, not a live connection or search result.

Familiar conversations. Knowledge that lasts.

Keep the context,
even after the conversation ends

A decision buried in one person’s chat is hard for the next person to find. Servan aims to make shared knowledge available to AI when your team needs it.

01

Save in conversation

We are designing a flow to confirm what to keep and who it is for, then record the decision with its reasoning.

02

Recall with context

The intended experience brings relevant team knowledge and its sources into the answer.

03

Update what changed

When a decision changes, the planned flow checks the differences before updating the existing record.

Connected knowledge.
Human judgment.

Servan is being prepared to connect your team’s knowledge to the AI you use, with people retaining responsibility for decisions.

  • We are designing permission boundaries so conversations use only team knowledge the user can access.
  • The intended flow confirms the target and changes in the conversation before saving or updating.
  • Answers should expose their sources and uncertainty, with a person responsible for verifying the facts.
Coming soon · Seeking early adopters

Give your AI
your team’s context

Tell us which AI tools you use and the questions your team keeps asking. We are looking for early adopters to help shape Servan.