Meeting conversation capture and follow-up console

For

Product and delivery teams that run recurring meetings and need decisions and follow-ups to reach their existing tools

Solves

Meeting decisions and action items are captured inconsistently and then re-typed into ticketing, CRM and chat tools.

Delivers

Reviewed meeting notes, decisions and follow-up tasks linked to source lines

Built in

about 4 weeks of creation time, MVP in 4 days

Investment

$13,500 for the MVP, $46,000 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce manual note-taking and re-entry while keeping decisions traceable to the transcript.

1. Transcribe authorized virtual meetings automatically.
2. Generate concise summaries of key points and decisions.
3. Capture decisions and action items with owners and due dates.
4. Convert meeting or chat content into structured tickets and documents.
5. Search past conversations for decisions and discussions.
6. Organize notes into shared team folders.
7. Answer questions about notes with links to transcript lines.
8. Provide real-time definitions and context during conversations.
9. Join calls as a participant that can post updates.
10. Build reusable no-code workflows for meeting tasks.
11. Write outcomes back to CRMs, ticketing and chat tools.
12. Connect to existing team tools to read and update data.
13. Retain context from prior conversations across sessions.
14. Post summaries and action items to Slack channels.
15. Keep assets, conversations and decisions in persistent project rooms.
16. Play video in sync across participants for collaborative review.
17. Apply SSO, retention and data-handling controls.
18. Surface prioritized to-dos and updates proactively.
19. Compare the reviewed result with the recorded baseline and value assumptions.
20. Capture corrections and named-owner approval before consequential use.
21. Export a versioned reviewed meeting notes, decisions and follow-up tasks linked to source lines with source references and unresolved questions.

Everything these tools do, in one app

• Automatic meeting transcription Transcribes virtual meetings automatically so users don't have to take notes manually.Found in Memolect, AI-Powered Meeting Notes, Simplora
• AI meeting summaries Generates concise summaries that highlight key points and decisions from conversations.Found in Memolect, Granola 2.0, Simplora and 2 more
• Action item capture Captures decisions and action items from meetings and assigns or lists them for follow-up.Found in Mina Meeting Assistant, AI-Powered Meeting Notes, Simplora and 1 more
• Conversation-to-ticket conversion Turns meeting or chat content into structured tickets or documents like Jira issues with minimal manual entry.Found in Collabute, Memolect, AI-Powered Meeting Notes
• Search past conversations Lets users search previous meeting content to quickly recall decisions and discussions.Found in Memolect, Granola 2.0
• Shared team folders Organizes meeting notes and related documents into shared folders accessible to team members.Found in Granola 2.0
• Chat with meeting notes Allows users to ask questions of meeting notes and get answers linked to transcript lines.Found in Granola 2.0
• Real-time meeting explanations Provides on-the-spot definitions and context during conversations to reduce confusion.Found in Simplora
• Live meeting participation Joins calls as a participant and can speak or post updates during the meeting.Found in Mina Meeting Assistant
• No-code workflow builder Lets teams create reusable automated workflows for meeting tasks without coding.Found in Mina Meeting Assistant, Nerve
• Write-back to external tools Updates CRMs, ticketing systems, and other tools directly from meeting outcomes.Found in Mina Meeting Assistant, Nerve, Memolect
• Broad app integrations Connects with many existing team tools to read and update data where work already happens.Found in Mina Meeting Assistant, Nerve, Collabute
• Meeting memory across sessions Retains context from prior conversations so the assistant can reference past discussions.Found in Mina Meeting Assistant, Pactto, Memolect
• Slack summary posting Automatically posts meeting summaries and action items to Slack channels.Found in Granola 2.0
• Persistent project rooms Keeps assets, conversations, and decisions in a shared room that retains context between sessions.Found in Pactto
• Synchronized video review Plays video in sync across participants for frame-by-frame collaborative review.Found in Pactto
• Enterprise security controls Provides compliance certifications, SSO, and data-handling policies for larger organizations.Found in Nerve
• Proactive task surfacing Automatically highlights prioritized to-dos and updates so users don't have to chase them.Found in Nerve

What goes in, what comes out

The workflow

1. In
   Start with

   Authorized meeting audio, transcripts, chat threads and connected tool records

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect authorized meeting audio

4. 3

   Transcripts

5. 4

   Chat threads and connected tool records

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewed meeting notes, decisions and follow-up tasks linked to source lines

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Final decision ownership, external write-back and personnel judgments remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Meeting capture and consent, Editable notes and decisions, Follow-up and write-back. Use a meeting list with status, a central transcript-and-notes canvas, and a right-hand panel for decisions, owners, due dates and linked tickets. Let users compare transcript, summary and edited note side by side. Display draft, changes requested and approved states. Provide a shared team folder and project room view with a client or stakeholder preview link where comments anchor to the relevant transcript line. Make the task-specific outcome reviewed meeting notes, decisions and follow-up tasks linked to source lines visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, meeting and asset versions, participant comments, approval states, recording consent records, usage allowances, retention limits, write-back history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Authorized meeting platforms, team chat, ticketing systems, CRMs and document stores. Start with file exchange and validate destination specifications before promising direct write-back. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   4 days

   One buyer segment, one recurring use case; first modules: transcribe authorized virtual meetings automatically; generate concise summaries of key points and decisions; capture decisions and action items with owners and due dates. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   5 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   9 days

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will product and delivery teams that run recurring meetings and need decisions and follow-ups to reach their existing tools use it to solve "meeting decisions and action items are captured inconsistently and then re-typed into ticketing, CRM and chat tools"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Reviewed follow-ups completed per meeting hour and re-entry corrections after write-back.
4. Measure, then decide. Track reviewed follow-ups completed per meeting hour and re-entry corrections after write-back; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One meeting platform, one connected ticketing or chat destination and one team; final decision ownership and external write-back remain human. Implement one approved input format, a bounded representative case set and the first three task modules: transcribe authorized virtual meetings automatically; generate concise summaries of key points and decisions; capture decisions and action items with owners and due dates. Support the remaining modules with operator review. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewed meeting notes, decisions and follow-up tasks linked to source lines. Retain the explicit scope boundary: One meeting platform, one connected ticketing or chat destination and one team; final decision ownership and external write-back remain human.

What the build depends on. Meeting capture and consent, transcript storage, asynchronous processing jobs, editable version history, reviewer access and tested export formats. High-fidelity write-back requires destination-specific mapping QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One meeting platform, one connected ticketing or chat destination and one team; final decision ownership and external write-back remain human.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined team and meeting set. Offer a monthly production allowance after repeat demand. Quote complex integrations or specialist review separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed meeting notes, decisions and follow-up tasks linked to source lines. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce manual note-taking and re-entry while keeping decisions traceable to the transcript. Demonstrate a concrete reviewed meeting notes, decisions and follow-up tasks linked to source lines using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Product and delivery team professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed meeting notes, decisions and follow-up tasks linked to source lines from a small authorized input set, with a transparent calculation of reviewed follow-ups completed per meeting hour and re-entry corrections after write-back and no promised savings.

The first 30 days

1. Week 1: interview five product and delivery teams that run recurring meetings and inspect a recent example of meeting decisions and action items captured inconsistently and then re-typed into ticketing, CRM and chat tools.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure reviewed follow-ups completed per meeting hour and re-entry corrections after write-back, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Reviewed follow-ups completed per meeting hour and re-entry corrections after write-back. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Reviewed follow-ups completed per meeting hour and re-entry corrections after write-back; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed meeting notes, decisions and follow-up tasks linked to source lines. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved meeting workflows, write-back mappings and review examples, together with reliable delivery for a narrow team niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for product and delivery teams that run recurring meetings. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Collabute, Memolect, Granola 2.0, Simplora, Mina Meeting Assistant, Circleback, Broadcast 2.0, AI-Powered Meeting Notes, Nerve and Pactto, plus manual note-taking and generic transcription tools. Compare this product with the buyer's present method on reviewed follow-ups completed per meeting hour and re-entry corrections after write-back. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Transcription and model attempts, storage, reviewer hours, integration maintenance, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed meeting notes, decisions and follow-up tasks linked to source lines. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve participant consent, source attribution, quotation accuracy and usage permissions. Named owners approve substantive changes, external write-back and publication scope. One meeting platform, one connected ticketing or chat destination and one team; final decision ownership and external write-back remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.