Get AI-powered recommendations from Slack based on your documents

Reads a Slack message, pulls relevant details from your documents, and replies with a specific next-step recommendation.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"someone messages the bot"]:::trig s0["identify topic and document"]:::task s1["extract document content"]:::svc s2[("retrieve knowledge base context")]:::store s3["generate recommendation"]:::svc s4["post reply in slack"]:::svc trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 s3 --> s4 out[/"document backed recommendation posted"/]:::out pay{{"faster informed decisions"}}:::pay s4 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceA record or sheetResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsKnowledge Base & RAGMessaging & NotificationsDocument Processing & OCRSpreadsheet & Database OpsFile & Cloud Storage
Connects
SlackGoogle DriveGoogle SheetsPineconeOpenAI

The problem it solves

When someone asks a question in Slack that requires digging through documents or past context, you either have to search manually or wait for someone who remembers the details. That slows down decisions that should take minutes, not hours.

Who it fits

Executives and knowledge teams who want quick, document-backed answers inside Slack.

How it works

  1. Someone mentions the bot or sends a message in a Slack channel
  2. AI reads the message to identify the topic and any linked document
  3. The referenced document is pulled in and its content extracted
  4. Relevant context is retrieved from your knowledge base
  5. AI writes a recommended next step and posts it back to Slack
What you get

Next steps pulled straight from your own files

You get a document-backed recommendation posted right back into your Slack conversation.

What you get

A specific, document-backed recommendation posted as a reply in Slack.

What you need

A Slack workspace, Google Drive, a Pinecone account, and an OpenAI or Azure OpenAI account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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