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Connect Slack to recover the decision that happened in a thread months ago

Bring Slack into askFinz Knowledge so decisions buried in threads are searchable and citable in Research and Chat. Coming to askFinz soon.

Most decisions a team makes are never written down anywhere except a Slack thread — a question, four replies, a "yes let's do that", and it is gone. Slack search finds messages by the words they contain, which is exactly the wrong tool when you remember the decision but not the phrasing, and not the channel. The Slack connector is part of askFinz Knowledge, which is still rolling out; here is what it will do, and what it will not.

Recover a decision from the thread it happened in

Ask what the team agreed about a topic and get the thread, with the channel and date, so you can read the rest of the conversation around it.

Stop re-asking a question that was answered in March

The same operational question gets asked every few months because nobody can find the answer. Matched by meaning, the old thread comes back even when it used different words.

Keep new joiners out of your DMs

ONE QUESTION“What did we decide about pay bands?”asked by two colleaguesIn the finance groupcould already open all threeQ3 planning notesPricing review deckComp bands (finance only)Not in the finance groupcould never open the thirdQ3 planning notesPricing review deck— not in these results —the same file they cannot open in the tool it came from
Same question, two colleagues, two different answers — a private channel you are not in stays invisible to you here, exactly as it is in Slack.

Someone new can ask why a process works the way it does and get the history from the channels they already have access to.

YOUR TOOLSWHAT CROSSESASKFINZDocuments you chooseonly the folders you pickTheir permissionswho could already see itEverything elsenever requested, never readread, on a schedule you setcarried across unchangedstays where it isIndexed for searchfindable in every workspaceSame permissionsno one gains accessAnswers that cite itback to the original file
Only the channels you add askFinz to are read. Direct messages and private channels you did not add are never requested.

What is overheard, and what is not

What crosses, and what stays in Slack

Comes in

Read

messages and thread replies in the channels you add the connection to.

Goes back

Written back

none

nothing. No messages, replies, reactions or channel changes.

Kept

Stored

a searchable copy of that text, plus a link back to the message.

Out of scope

Never read

direct messages, and every channel you did not add.

What you will be granting

Read access to the specific channels someone invites askFinz into — the same model as any other Slack app, and it can be removed from a channel in one command.

Setting it up

Planned — not available yet

What connecting it will look like once the connector arrives.

  1. 01

    Install the askFinz app in your Slack workspace.

  2. 02

    Invite it to the channels you want searchable. Uninvited channels are never read.

  3. 03

    Choose how far back to read history.

  4. 04

    Set the refresh interval.

Limits, honestly

  • One-way and read-only. Nothing is ever posted on your behalf.
  • Direct messages and group DMs are out of scope entirely.
  • Answers reflect the last refresh, not the message sent a minute ago.
  • Files shared in a channel are not read; the messages around them are.
  • Huddles and voice clips are not transcribed.
A glimpse of the workspace

The decision that happened in a thread, findable months later.

chat.askfinz.ai · liveDemo
Summarise the three most cited fairness frameworks for LLMs and tell me which is most actionable.
Frontier · fast
Three commonly-cited frameworks: NIST AI RMF (process, governance), the EU AI Act (risk-tiered, regulatory) and the FAIR data principles (technical, data-side). Most actionable for an applied team is NIST RMF — concrete controls map cleanly to existing release processes.
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