Email-to-task coordination portal

For

Support and operations teams handling shared inboxes and turning messages into tracked work

Solves

Messages, tasks and follow-ups live in separate tools, so requests are missed, replies are slow and nobody can see what is still open.

Delivers

Reviewed tasks and approved automated actions linked to each source message

Built in

about 4 weeks of creation time, MVP in 5 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

Turn incoming email into reviewed tasks and automated actions in one owned portal.

1. Summarize email threads into short briefs.
2. Extract actionable tasks with due dates and priorities.
3. Suggest draft replies for review.
4. Categorize and prioritize incoming messages.
5. Apply smart filters, labels, mutes and pins.
6. Run bulk archive, delete and label actions.
7. Sync extracted tasks and schedules to calendars.
8. Connect Gmail, Outlook and other mail providers.
9. Report email patterns and response times.
10. Build custom AI workflows for recurring handling.
11. Connect third-party apps by API or file commands.
12. Push tasks to Notion, Obsidian, Tana and similar tools.
13. Sync tasks with Apple Reminders.
14. Run AI processing on-device where required.
15. Trigger commands from tools like Raycast.
16. Execute approved multi-step actions without repeated prompting.
17. Generate documents and run end-to-end workflows.
18. Keep long-running background agents moving open processes.
19. Extend an approved skill and integration library.
20. Translate and reply inside the thread.
21. Search full conversation history and jump to context.
22. Keep message bodies encrypted and unretained where required.

Everything these tools do, in one app

• Email summaries Generates short summaries of email threads so you can grasp the gist quickly.Found in Filo Mail for macOS, Filo Mail for iOS
• Task extraction Automatically pulls actionable to-dos from emails, often with due dates and priorities.Found in Filo Mail for macOS, Filo Mail for iOS
• Smart reply suggestions Suggests draft responses to save time composing replies.Found in Filo Mail for macOS, ZeroInbox.ai, Filo Mail for iOS
• Email categorization and prioritization Sorts and ranks incoming messages based on content and sender importance.Found in ZeroInbox.ai
• Smart filters and labels Automatically routes, mutes, pins, or labels emails using rules or natural language.Found in Filo Mail for macOS
• Bulk email actions Lets you archive, delete, or label many messages at once.Found in ZeroInbox.ai
• Calendar sync Keeps extracted tasks and schedules aligned with your calendar.Found in Filo Mail for macOS
• Email provider integration Connects to major email services like Gmail and Outlook.Found in ZeroInbox.ai
• Analytics dashboard Provides insights into email patterns and response times.Found in ZeroInbox.ai
• Custom AI workflows Automates email handling and everyday tasks through user-defined AI-powered workflows.Found in Inbox AI
• Third-party app connections Links with other apps via API or file-based commands to extend automation.Found in Inbox AI
• Task manager compatibility Works with popular task managers like Notion, Obsidian, and Tana.Found in Inbox AI
• Apple Reminders integration Natively connects with Apple Reminders for task management.Found in Inbox AI
• On-device AI processing Runs AI tasks locally for privacy, without sending data to the cloud.Found in Inbox AI
• Command execution from other platforms Allows running advanced commands from tools like Raycast.Found in Inbox AI
• Autonomous task execution Turns simple instructions into multi-step actions and runs them without repeated prompting.Found in PenguinBot AI
• Document and workflow automation Creates documents and runs end-to-end workflows across connected services.Found in PenguinBot AI
• Long-running background agents Operates continuously in the background to keep processes moving.Found in PenguinBot AI
• Extensible skill library Offers a large set of skills and integrations that can be expanded over time.Found in PenguinBot AI
• In-mail translation Reads and replies in multiple languages without leaving the email thread.Found in Filo Mail for iOS
• Global search and context jump Provides quick access to entire conversation threads, even across weeks.Found in Filo Mail for iOS
• Privacy-first design Uses end-to-end encryption and processes AI tasks in RAM only, without storing message bodies.Found in Filo Mail for iOS

What goes in, what comes out

The workflow

1. In
   Start with

   Connected mailboxes, message threads, team rules and calendar data

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect connected mailboxes

4. 3

   Message threads

5. 4

   Team rules and calendar data

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewed tasks and approved automated actions linked to each source message

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for routing rules, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One connected mailbox set and one approved workflow library; final replies, task assignments and external actions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Inbox triage and rules, Task and workflow board, Team performance and delivery. Use a shared inbox list with summaries and priority, a central task board with owners and due dates, and a right-hand panel for thread context, suggested replies and approvals. Let users compare suggested and edited replies side by side. Display new, in review, assigned and done states. Provide a client or requester view with status and comments anchored to the relevant message. Make the task-specific outcome reviewed tasks and approved automated actions linked to each source message visible beside its evidence, review state and value baseline.

Accounts and administration

Mailbox ownership, rule versions, team comments, approval states, usage allowances, action limits, export history and a rights record for connected accounts. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Customer-owned mailboxes, authorized calendars and permitted task tools. Cloud storage, task-manager import/export and messaging destinations. 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

   5 days

   One buyer segment, one recurring use case; first modules: summarize email threads into short briefs; extract actionable tasks with due dates and priorities. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   6 days

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

4. 4

   Full product

   2 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 support and operations teams handling shared inboxes and turning messages into tracked work use it to solve "messages, tasks and follow-ups live in separate tools, so requests are missed, replies are slow and nobody can see what is still open"?
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: Tasks completed per support hour and requests missed after handoff.
4. Measure, then decide. Track tasks completed per support hour and requests missed after handoff; 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 connected mailbox set and one approved workflow library; final replies, task assignments and external actions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: summarize email threads into short briefs; extract actionable tasks with due dates and priorities. Support the third module with operator review: suggest draft replies for 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 tasks and approved automated actions linked to each source message. Retain the explicit scope boundary: One connected mailbox set and one approved workflow library; final replies, task assignments and external actions remain human.

What the build depends on. Mailbox connection and preview, asynchronous processing jobs, editable task history, reviewer access and tested export formats. High-fidelity automation requires specialist support QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One connected mailbox set and one approved workflow library; final replies, task assignments and external actions 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 mailbox package. Offer a monthly production allowance after repeat demand. Quote complex multi-team or specialist integrations separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed tasks and approved automated actions linked to each source message. 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

Turn incoming email into reviewed tasks and automated actions in one owned portal. Demonstrate a concrete reviewed tasks and approved automated actions linked to each source message using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Support and operations teams handling shared inboxes professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed tasks and approved automated actions linked to each source message from a small authorized input set, with a transparent calculation of tasks completed per support hour and requests missed after handoff and no promised savings.

The first 30 days

1. Week 1: interview five support and operations teams handling shared inboxes and inspect a recent example of messages, tasks and follow-ups live in separate tools, so requests are missed, replies are slow and nobody can see what is still open.
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 tasks completed per support hour and requests missed after handoff, 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: Tasks completed per support hour and requests missed after handoff. 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

Tasks completed per support hour and requests missed after handoff; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed tasks and approved automated actions linked to each source message. 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 rules, routing examples and review corrections, together with reliable delivery for a narrow support niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for support and operations teams handling shared inboxes. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Inbox AI, Filo Mail for macOS, ZeroInbox.ai, PenguinBot AI and Filo Mail for iOS. Compare this product with the buyer's present method on tasks completed per support hour and requests missed after handoff. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Model calls, mailbox and storage processing, reviewer hours, client revision rounds and licensed source connectors. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed tasks and approved automated actions linked to each source message. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve message confidentiality, source attribution, reply accuracy and usage permissions. Team leads approve substantive replies and external actions. One connected mailbox set and one approved workflow library; final replies, task assignments and external actions remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.