Meeting capture to follow-up action workspace

For

Sales teams and account managers who run client meetings and owe written follow-up

Solves

What was said in meetings is scattered across recordings, notes and inboxes, so summaries, action items and follow-up emails are late or incomplete.

Delivers

Reviewer-approved summaries, action items and follow-up drafts linked to source moments

Built in

about 5 weeks of creation time, MVP in 6 days

Investment

$14,500 for the MVP, $49,500 for the full product

Run it

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

Reduce the time from meeting end to approved follow-up while keeping every commitment traceable to what was actually said.

1. Record meetings from conferencing platforms or in-person sessions.
2. Transcribe spoken content with speaker identification.
3. Search and navigate transcripts by speaker, topic or timestamp.
4. Highlight and annotate key moments and action items.
5. Generate concise summaries of points and decisions.
6. Extract tasks, insights and follow-ups.
7. Draft follow-up emails from the discussion.
8. Sync with calendars for scheduling and follow-ups.
9. Suggest meeting times and coordinate group scheduling.
10. Apply customizable availability settings and real-time schedule notifications.
11. Answer questions over meeting notes in an interactive chat.
12. Push summaries and action items to Notion, Google Docs and Trello.
13. Support multilingual meetings, translation and clip dubbing.
14. Offer a browser extension, mobile access and watch notifications.
15. Store meeting data locally where privacy requires it.
16. Run customizable post-meeting workflows.
17. Provide an interactive whiteboard with real-time collaboration.
18. Create CRM contacts, leads and opportunities from conversation content.
19. Generate appointments, tasks and reminders.
20. Create video clips of key moments, including voice-command clipping.
21. Show interactive timestamps that reopen the exact moment.
22. Require human review and approval before any action is executed.

Everything these tools do, in one app

• Meeting recording Automatically records meetings from video conferencing platforms or in-person discussions.Found in Amie, timeOS, Shadow and 1 more
• Automatic transcription Converts spoken meeting content into text transcripts.Found in Wudpecker, Amie, timeOS and 4 more
• Speaker identification Distinguishes between different participants in a conversation.Found in Wudpecker
• Searchable transcripts Allows users to search and navigate through recorded meeting content.Found in Wudpecker, Shadow
• Highlighting and annotation Lets users highlight and annotate important moments or action items in transcripts.Found in Wudpecker
• AI meeting summaries Generates concise summaries of key points and decisions from meetings.Found in Amie, timeOS, Magic Notepad by timeOS and 3 more
• Action item extraction Identifies and organizes tasks, insights, and follow-ups from meeting content.Found in Shadow, BrieflyAI, Eyre: Whiteboard Your Meetings and 1 more
• Follow-up email drafting Automatically drafts follow-up emails based on meeting discussions.Found in Amie, Shadow, BrieflyAI and 1 more
• Calendar integration Connects with calendar applications to manage scheduling and follow-ups.Found in AiGenda, Eyre: Whiteboard Your Meetings
• Automated meeting scheduling Schedules meetings automatically with AI-based time suggestions.Found in AiGenda, Amie
• Customizable availability settings Allows users to set when meetings can be booked.Found in AiGenda
• Real-time updates and notifications Keeps users informed of schedule changes and upcoming meetings.Found in AiGenda
• Group scheduling Coordinates meetings with multiple participants efficiently.Found in AiGenda
• Interactive chat interface Provides a chat interface to review and search meeting notes.Found in Amie, Magic Notepad by timeOS
• Productivity app integration Syncs meeting summaries and action items with apps like Notion, Google Docs, and Trello.Found in timeOS
• Multilingual support Supports meetings in multiple languages for diverse teams.Found in timeOS, BrieflyAI, Magic Notepad by timeOS
• Browser extension and mobile features Offers a browser extension and mobile-friendly solutions including Apple Watch notifications.Found in timeOS
• Local data storage Stores meeting data locally without uploading to the cloud for privacy.Found in Shadow
• Customizable workflows Allows users to define or use pre-built workflows for post-meeting tasks.Found in Shadow
• Interactive whiteboard Provides a whiteboard interface for drawing, text, and image inputs during meetings.Found in Eyre: Whiteboard Your Meetings
• Real-time collaboration Enables multiple participants to contribute simultaneously on a shared canvas.Found in Eyre: Whiteboard Your Meetings
• CRM integration Creates CRM contacts, leads, and opportunities from conversation content.Found in Tovel AI
• Task and reminder generation Generates appointments, tasks, and reminders from meeting discussions.Found in Tovel AI
• Human approval step Requires human review and approval before any action is executed.Found in Tovel AI
• Video clip creation Automatically generates video clips of key moments from meetings.Found in AI Clips by timeOS
• Voice command clipping Allows users to clip meeting moments using voice commands.Found in AI Clips by timeOS
• Clip dubbing Dubs video clips into multiple languages for accessibility.Found in AI Clips by timeOS
• Interactive timestamps Lets users hover over timestamps to revisit specific parts of the meeting.Found in Magic Notepad by timeOS
• Real-time translation Provides real-time translation during multilingual meetings.Found in BrieflyAI

What goes in, what comes out

The workflow

1. In
   Start with

   Consented meeting recordings, transcripts, calendar data and CRM context

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect consented recordings

4. 3

   Transcripts

5. 4

   Calendar data and CRM context

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewer-approved summaries, action items and follow-up drafts linked to source moments

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 commitments, CRM writes and outbound messages remain human-approved. 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 meeting workspace, Review and send. Use a meeting list with status, a central transcript and summary canvas, and a right-hand panel for action items, CRM fields, clips and comments. Let users compare draft and approved versions side by side. Display recorded, transcribed, drafted, changes requested and approved states. Provide a shareable client recap link with comments anchored to the relevant moment. Make the task-specific outcome reviewer-approved summaries, action items and follow-up drafts linked to source moments visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, recording consent records, participant lists, transcript versions, approval states, CRM write permissions, retention limits, download 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

Calendar applications, video conferencing platforms, CRM systems, Notion, Google Docs and Trello. Start with file exchange and validate destination specifications before promising direct publishing. 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

   6 days

   One buyer segment, one recurring use case; first modules: record meetings; transcribe with speaker identification; generate summaries; extract action items; draft follow-up emails. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   7 days

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

4. 4

   Full product

   3 weeks

   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 sales teams and account managers who run client meetings and owe written follow-up use it to solve "what was said in meetings is scattered across recordings, notes and inboxes, so summaries, action items and follow-up emails are late or incomplete"?
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: Approved follow-ups per meeting hour and corrections after sending.
4. Measure, then decide. Track approved follow-ups per meeting hour and corrections after sending; 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 conferencing platform and one language; final commitments, CRM writes and outbound messages remain human-approved. Implement one approved input format, a bounded representative case set and the first modules: record meetings; transcribe with speaker identification; generate summaries; extract action items; draft follow-up emails. Support CRM sync, scheduling and clip creation 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 languages, meeting platforms and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewer-approved summaries, action items and follow-up drafts linked to source moments. Retain the explicit scope boundary: One conferencing platform and one language; final commitments, CRM writes and outbound messages remain human-approved.

What the build depends on. Recording consent capture, transcript storage, asynchronous processing jobs, editable version history, reviewer access and tested export formats. High-fidelity CRM writes require specialist review. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One conferencing platform and one language; final commitments, CRM writes and outbound messages remain human-approved.

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 meeting workflow. Offer a monthly production allowance after repeat demand. Quote complex CRM, whiteboard or clip work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewer-approved summaries, action items and follow-up drafts linked to source moments. 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 the time from meeting end to approved follow-up while keeping every commitment traceable to what was actually said. Demonstrate a concrete reviewer-approved summaries, action items and follow-up drafts linked to source moments using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Sales teams and account managers professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewer-approved summaries, action items and follow-up drafts linked to source moments from a small authorized input set, with a transparent calculation of approved follow-ups per meeting hour and corrections after sending and no promised savings.

The first 30 days

1. Week 1: interview five sales teams and account managers who run client meetings and owe written follow-up and inspect a recent example of what was said in meetings is scattered across recordings, notes and inboxes, so summaries, action items and follow-up emails are late or incomplete.
2. Week 2: prepare a consented or synthetic demonstration of the stated task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure approved follow-ups per meeting hour and corrections after sending, 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: Approved follow-ups per meeting hour and corrections after sending. 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

Approved follow-ups per meeting hour and corrections after sending; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewer-approved summaries, action items and follow-up drafts linked to source moments. 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 recap styles, CRM field mappings and review examples, together with reliable delivery for a narrow sales niche. Build a permissioned library of representative meeting cases, reviewer corrections and verified operating constraints for sales teams and account managers who run client meetings and owe written follow-up. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Wudpecker, AiGenda, Amie, timeOS, Shadow, Magic Notepad by timeOS, AI Clips by timeOS, BrieflyAI, Eyre: Whiteboard Your Meetings and Tovel AI. Buyers today rent several of these tools and still copy results between them. Compare this product with the buyer's present method on approved follow-ups per meeting hour and corrections after sending. Offer one owned workspace with the buyer's own workflow, brand and data boundaries instead of several rented subscriptions. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Recording and transcription processing, storage, reviewer hours, client revision rounds and licensed integration access. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewer-approved summaries, action items and follow-up drafts linked to source moments. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve participant consent, source attribution, quotation accuracy and usage permissions. Named reviewers approve substantive changes, CRM writes and outbound messages. One conferencing platform and one language; final commitments, CRM writes and outbound messages remain human-approved. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.