Connected operations task automation portal

For

Operations leads and team managers coordinating routine work across several business apps

Solves

Routine tasks, approvals and updates are spread across disconnected apps, so staff re-enter context and chase status by hand.

Delivers

Reviewed routine task actions and tracked project updates

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 manual app switching and repeated context entry while keeping approvals under named owners.

1. Connect multiple business apps through one interface.
2. Automate routine actions such as summarizing meetings, updating notes and sending emails.
3. Retain prior instructions and context across sessions.
4. Suggest contextual actions such as resolving meeting conflicts or creating invoices.
5. Set up automations in everyday language without flowcharts.
6. Track tasks and projects with boards, timelines and deadlines.
7. Provide chat, video calls and forums inside the workspace.
8. Store and share files with access controls.
9. Send real-time progress notifications.
10. Show a productivity and project status dashboard.
11. Perform proactive actions such as sharing a requested file or surfacing a deployment fix.
12. Index team data such as project history, pull requests and deploy logs.
13. Query tools and trigger workflows from Slack and iMessage.
14. Limit which integrations can act without manual confirmation via approval toggles.
15. Schedule events and manage calendars from user commands.
16. Prioritize tasks and set reminders.
17. Triage incoming email into Signal and Noise categories.
18. Edit documents collaboratively with links to related items.
19. Support code audit and self-hosting.
20. Filter messages by semantic relevance using product information and lead lists.
21. Set alerts for topics, mentions or leads posting content.
22. Generate reply suggestions for prospect communication.
23. Orchestrate multiple specialized agents in parallel.
24. Configure agents for specific needs.
25. Decompose large problems into smaller sub-tasks.
26. Monitor agent activity through a user interface.
27. Generate presentations, documents, spreadsheets and data analyses from your data.
28. Adapt output to individual style and preferences.
29. Compare the reviewed result with the recorded baseline and value assumptions.
30. Capture corrections and named-owner approval before consequential use.
31. Export a versioned reviewed routine task actions and tracked project updates with source references and unresolved questions.

Everything these tools do, in one app

• Unified app interface Access and operate multiple business apps from one interface without switching contexts.Found in Native AI, Boost.space 4.0, Dimension and 6 more
• Routine task automation Automate repetitive actions such as summarizing meetings, updating notes, and sending emails.Found in Native AI, Slashy, Concierge AI and 1 more
• Context retention Remember prior instructions and context so users do not have to repeat themselves.Found in Slashy, Dimension, Macro
• Contextual recommendations Receive AI suggestions tailored to the current task, such as resolving meeting conflicts or creating invoices.Found in Native AI, Dimension
• Natural language automations Set up automations using everyday language without complex rules or flowcharts.Found in Native AI, Concierge AI
• Task and project tracking Track tasks and projects with customizable boards, timelines, and deadlines.Found in Boost.space 4.0, Floutwork
• Built-in communication channels Communicate with team members via chat, video calls, and forums inside the platform.Found in Boost.space 4.0, Floutwork
• File storage and sharing Store and share files with access controls directly in the workspace.Found in Boost.space 4.0, Floutwork
• Real-time notifications Keep team members updated on progress with real-time notifications.Found in Boost.space 4.0, Floutwork
• Productivity analytics dashboard Monitor team productivity and project status through a dashboard with analytics.Found in Boost.space 4.0
• Proactive automation Suggest or perform actions based on context, such as sharing a requested file or surfacing a deployment fix.Found in Dimension
• Team data indexing Index team data like project history, PRs, and deploy logs to improve search and recommendations.Found in Dimension, Macro
• Mobile and messaging access Query tools and trigger workflows on the go via messaging apps like Slack and iMessage.Found in Dimension
• Approval controls Limit which integrations can act without manual confirmation via configurable approval toggles.Found in Dimension
• Automated scheduling Automatically schedule events and manage calendars based on user commands.Found in Concierge AI, Slashy
• Task prioritization and reminders Prioritize tasks and set reminders to help users stay organized.Found in Concierge AI
• Email triaging Automatically sort incoming email into Signal and Noise categories.Found in Macro
• Collaborative document editing Create and edit documents with real-time collaboration and linking to other items.Found in Macro, Context
• Open source and self-hosting Audit the codebase or self-host the platform for security and customization.Found in Macro
• Semantic message filtering Filter messages by semantic relevance using product information and lead lists.Found in LivingInbox
• Customizable alerts Set up alerts based on criteria like mentions of specific topics or leads posting content.Found in LivingInbox
• AI-assisted replies Generate reply suggestions to speed up communication with prospects.Found in LivingInbox
• Multi-agent collaboration Orchestrate multiple specialized agents that work in parallel to complete tasks.Found in Microagents (Beta)
• Modular agent configuration Customize and configure agents based on specific needs.Found in Microagents (Beta)
• Complex workflow decomposition Break down large problems into smaller, manageable sub-tasks for automation.Found in Microagents (Beta)
• Agent activity monitoring Monitor and manage agent activities during processes through a user-friendly interface.Found in Microagents (Beta)
• Content generation Automatically generate presentations, documents, spreadsheets, and data analyses based on your data.Found in Context
• Style adaptation Adapt to your individual style and preferences to produce tailored content.Found in Context

What goes in, what comes out

The workflow

1. In
   Start with

   Connected app data, team instructions, task history and approval rules

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect connected app data

4. 3

   Team instructions

5. 4

   Task history and approval rules

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewed routine task actions and tracked project updates

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. One connected app set and one approval policy; final task execution and external communication remain under named human review. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Connected apps and permissions, Task and automation board, Review and approval queue. Use a workspace switcher for connected apps, a central board for tasks and automations, and a right-hand panel for context, files and comments. Let users compare automation drafts side by side. Display draft, changes requested and approved states. Provide a mobile and messaging view for queries and approvals. Make the task-specific outcome reviewed routine task actions and tracked project updates visible beside its evidence, review state and value baseline.

Accounts and administration

Workspace ownership, connected app credentials, permission scopes, agent configurations, approval toggles, task templates, retention rules, export logs and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls and explicit approval for external actions.

Integrations and data access

Customer-owned business apps, calendars, email, chat and file storage. Cloud asset storage, design-file import/export and publishing 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

   6 days

   One buyer segment, one recurring use case; first modules: connect multiple business apps through one interface; automate routine actions such as summarizing meetings, updating notes and sending 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 operations leads and team managers coordinating routine work across several business apps use it to solve "routine tasks, approvals and updates are spread across disconnected apps, so staff re-enter context and chase status by hand"?
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: Completed routine tasks per operations hour and manual re-entry corrections.
4. Measure, then decide. Track completed routine tasks per operations hour and manual re-entry corrections; 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 app set and one approval policy; final task execution and external communication remain under named human review. Implement one approved input format, a bounded representative case set and the first two task modules: connect multiple business apps through one interface; automate routine actions such as summarizing meetings, updating notes and sending emails. Support the third module with operator review: retain prior instructions and context across sessions. 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 apps and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewed routine task actions and tracked project updates. Retain the explicit scope boundary: One connected app set and one approval policy; final task execution and external communication remain under named human review.

What the build depends on. Asset upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist operations QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One connected app set and one approval policy; final task execution and external communication remain under named human review.

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 operations workflow. Offer a monthly production allowance after repeat demand. Quote complex multi-app integrations or specialist review separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed routine task actions and tracked project updates. 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 app switching and repeated context entry while keeping approvals under named owners. Demonstrate a concrete reviewed routine task actions and tracked project updates using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Operations leads and team managers coordinating routine work across several business apps professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed routine task actions and tracked project updates from a small authorized input set, with a transparent calculation of completed routine tasks per operations hour and manual re-entry corrections and no promised savings.

The first 30 days

1. Week 1: interview five operations leads and team managers coordinating routine work across several business apps and inspect a recent example of routine tasks, approvals and updates spread across disconnected apps.
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 completed routine tasks per operations hour and manual re-entry corrections, 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: Completed routine tasks per operations hour and manual re-entry corrections. 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

Completed routine tasks per operations hour and manual re-entry corrections; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed routine task actions and tracked project updates. 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 automations, connected app configurations and review examples, together with reliable delivery for a narrow operations niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for operations leads and team managers coordinating routine work across several business apps. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Native AI, Boost.space 4.0, Dimension, Floutwork, Slashy, Concierge AI, Macro, LivingInbox, Microagents (Beta) and Context. Compare this product with the buyer's present method on completed routine tasks per operations hour and manual re-entry corrections. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Connected app API usage, storage, reviewer hours, 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 routine task actions and tracked project updates. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve source attribution, permission scopes and data access boundaries. Named owners approve substantive task actions and external communication. One connected app set and one approval policy; final task execution and external communication remain under named human review. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.