How Internode works with phone calls and meeting recordings

Internode turns conversations and notes into knowledge your team can find later. This page describes what you can send in, what happens to it, and what comes out the other side.

What you can feed in

Phone call transcripts. Record on your phone using a built-in tool or any transcription app that gives you text from audio. iPhone Voice Memos with transcription, Google Recorder, Otter, or any other app that produces a text file all work. Upload the transcript directly.

Zoom and Google Meet. Connect your account so recordings or transcripts flow in automatically after each call. You can also upload a transcript file if you already have one.

Slack. Connect your workspace so Internode reads the conversations and threads you choose to include. Slack threads often carry scope changes and clarifications that never appear in a formal meeting.

Email. Paste a thread or upload it as a document. This works well for supplier negotiations, customer threads, and internal discussions where the back-and-forth matters.

Typed notes. Paste meeting notes, discussion summaries, or any plain text directly. Use this when a transcript does not exist or when you want to add manual context alongside other sources.

You are not limited to one format. Mixed sources go through the same pipeline. For details on each integration, see Internode integrations with Zoom, Google Meet, Slack, and email.

What happens during processing

When text lands in Internode, a language model reads the conversation and extracts structured information:

• Decisions with rationale, who made them, and what they affect
• Topics categorized by type: problems, solutions, opportunities, ideas, constraints, or general information
• Tasks and action items with owners, deadlines, and subtasks when they appear
• Intents that capture what the team plans to do and why
• Perspectives showing what different participants contributed to the discussion
• People and companies recognized and linked across conversations

The goal is to separate signal from conversation so the important parts are reusable, not buried in paragraphs of back-and-forth.

How extracted items enter the knowledge base

Extracted items do not write themselves into the knowledge base silently. Internode uses a proposal-based flow. The system suggests what it found, and a human reviews and approves before items become part of the record. You can edit, reject, or accept each proposal.

Approved items join a knowledge graph where decisions link to projects, tasks link to owners, and topics connect across meetings and channels. Over time, repeated themes, people, and initiatives connect across conversations. Your team does not retype anything; Internode lifts items out of the text and maintains the links.

How search and the AI chat agent work

Once items are in the graph, they are indexed for search. You can ask a concrete question, like what you decided about a customer order or a launch date, and get an answer that points to the source lines. The AI chat agent answers grounded in your team’s data, not from general training data.

You control what goes in. Conversations you do not upload or connect stay outside the knowledge base. What you include shapes what the agent can see and cite.

For a practical guide on phone calls specifically, see how to turn phone calls into searchable business knowledge. For the broader picture, see turning calls and meetings into structured knowledge.