Start a project
AI Meeting Notes

Transcribe, summarize, and ship action items

AI Meeting Notes

An experimental workflow that turns meetings into structured recaps, tasks, and searchable memory.

Timeline

3-5 days

Category

Workflow prototype

Stack

Next.js, diarization-ready speech-to-text, LLM APIs, vector search, task/CRM integrations

Delivered by

Lowkey Tech

Type

Experimental build

Overview

A lightweight system that captures decisions, risks, and next steps the moment a meeting ends.

Findings

  • Recaps break down decisions, risks, and next steps with ownership.

  • Action items sync to task tools while keeping a single source of truth.

  • Search spans people, topics, and clients across all meetings.

Notes

  • Designed for explicit consent and opt-in recording policies.

  • Templates adjust summaries by meeting type and team.

  • Redaction options support sensitive or regulated conversations.

What it does

Turns raw recordings into clear, shareable recaps with owners, due dates, and source-linked context.

Screenshots

Meeting recap with decisions, risks, and action items
Transcript view with speakers and timestamps
Task routing panel with destination integrations

Workflow

From call recording to action items in minutes.

Step 01

Ingest

Capture + ingest

Upload recordings or pull from Zoom/Meet with meeting metadata.

Inputs

Audio, meeting title, attendee list

Source

Upload or calendar-connected recording

Output

Audio package + metadata

Step 02

Processing

Transcribe + diarize

Speech-to-text with speaker labels and timestamps for every segment.

Model

Diarization-ready STT pipeline

Output

Timestamped, speaker-labeled transcript

Accuracy

Review-ready text with confidence flags

Step 03

Processing

Summarize + structure

Generate decisions, risks, and action items with owners and due dates.

Sections

Decisions, action items, risks, notes

Owners

Auto-suggested from speaker context

Output

Structured recap

Step 04

Ops

Route + notify

Push tasks to Linear/Jira/Notion and send recaps via Slack or email.

Destinations

Linear, Jira, Notion, CRM

Notifications

Slack + email summaries

Sync

Status updates back to the recap

Step 05

Search

Index + search

Store transcripts and recaps in a searchable knowledge base.

Search

Semantic + keyword filters

Filters

Person, topic, date, client

Output

Instant recall across meetings

Step 06

Quality

Review + publish

Human-in-the-loop edits with exportable client-ready formats.

Review

Edit, approve, and lock

Exports

PDF, HTML, or CRM note

Retention

Policy-based storage rules

What we built

Audio ingestion from uploads or connected meeting platforms

Speaker-labeled transcription with timestamps and confidence flags

Structured summaries: decisions, risks, action items, and highlights

Task + CRM routing with bi-directional status updates

Privacy controls: redaction, access rules, and retention policies

Value delivered

Send clean, consistent recaps within minutes of the call ending

Reduce missed commitments with owners and due dates attached

Build a searchable institutional memory across teams and clients

Keep follow-ups in sync without manual copy/paste

Outcomes

What this delivers in the real world.

Follow-through

Action items assigned with owners and due dates

Time saved

Faster recap delivery and fewer status pings

Quality

Structured notes that stay consistent across meetings

Compliance

Retention and redaction controls for sensitive calls

Demo

See AI Meeting Notes in action.

Get a tailored walkthrough for your team.

Request a walkthrough
AI Meeting Notes | Lowkey Tech