Multi-channel outreach coordination portal

For

Sales teams and agencies running cold outreach to prospects on social and email platforms

Solves

Outreach is spread across several rented tools, so prospect data, message history and reply handling sit in different places and nothing is owned end to end.

Delivers

Reviewed outreach messages and tracked replies

Built in

about 4 weeks of creation time, MVP in 5 days

Investment

$13,000 for the MVP, $44,000 for the full product

Run it

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

Run personalized cold outreach across email and social channels from one owned portal.

1. Collect permitted prospect profiles, posts and websites.
2. Generate tailored outreach messages from prospect data.
3. Prepare messages for email, LinkedIn, Twitter and other social channels.
4. Send approved messages automatically on a schedule.
5. Discover leads from social platforms by target criteria.
6. Monitor keywords to surface new prospects.
7. Apply pre-built and custom message templates.
8. Track reply rates and engagement per campaign.
9. Organize replies with filters, sorting and auto-replies.
10. Keep a simple CRM for leads, follow-ups and priority contacts.
11. Create and schedule posts from AI prompts.
12. Detect buying intent in conversations.
13. Aggregate public data from LinkedIn and company sites.
14. Let users edit AI-suggested replies before sending.
15. Support white-label branding for agencies.
16. Run entirely in a cloud interface.

Everything these tools do, in one app

• AI message personalization Generates tailored outreach messages based on prospect data such as profiles, posts, and websites.Found in Outboundly, Devi, ColdHunt and 3 more
• Multi-platform outreach Sends or prepares messages across several channels like email, LinkedIn, Twitter, and other social platforms.Found in Outboundly, Devi, ColdHunt and 3 more
• Automated message sending Automatically sends personalized cold messages to selected prospects without manual effort.Found in ColdHunt, Drippi.ai, Agent Maya (by Flow AI)
• Lead discovery and scraping Finds and collects potential leads from social platforms based on target criteria.Found in ColdHunt, Drippi.ai
• Keyword monitoring Scans social platforms for specific keywords to identify potential leads in real time.Found in Devi
• Message templates Provides pre-built or customizable templates to quickly create outreach messages.Found in Outboundly, EverMail AI
• Message analytics Tracks performance metrics like reply rates and engagement to optimize outreach campaigns.Found in Outboundly, Drippi.ai
• Inbox management Organizes and manages incoming replies with filters, auto-replies, and sorting.Found in Drippi.ai
• CRM integration Includes a simple CRM to organize leads, manage follow-ups, and highlight priority contacts.Found in Agent Maya (by Flow AI)
• Content creation and scheduling Creates engaging posts using AI prompts and schedules them with one click.Found in Devi
• Intent detection Identifies high-intent leads by analyzing buying signals in conversations.Found in Devi
• Information gathering Aggregates publicly available data from sources like LinkedIn and company websites to reduce manual research.Found in EverMail AI
• Message editing before sending Allows users to review and edit AI-suggested replies before sending to maintain control.Found in Agent Maya (by Flow AI)
• Community and AI training Provides access to a B2B community and continuous AI training for better personalization.Found in Outboundly
• White-label option Offers a white-label version for agencies to rebrand the tool.Found in Devi
• Cloud-based interface Operates entirely online for seamless access from any device.Found in EverMail AI

What goes in, what comes out

The workflow

1. In
   Start with

   Permitted prospect profiles, posts, websites and conversation signals

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect permitted prospect profiles

4. 3

   Posts

5. 4

   Websites and conversation signals

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewed outreach messages and tracked replies

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 scheduling, schema validation, send limits and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved sending domain and one connected social account per pilot; final send decisions and reply handling remain with the sales owner. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Prospect and criteria setup, Message review queue, Reply and follow-up board. Use a list view for prospects with filters, a central review pane for drafted messages, and a right-hand panel for prospect evidence, channel and send state. Let users compare message variants side by side. Display drafted, edited, approved and sent states. Provide a reply inbox with priority and follow-up flags. Make the task-specific outcome reviewed outreach messages and tracked replies visible beside its evidence, review state and value baseline.

Accounts and administration

Workspace ownership, prospect list versions, channel connections, approval states, send limits, reply assignments, export history and a rights record for supplied prospect data. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external sends.

Integrations and data access

Buyer-owned prospect lists, authorized social accounts and permitted public sources. Email sending domains, social platform APIs, calendar and CRM destinations. Start with file exchange and validate destination specifications before promising direct sending. 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: collect permitted prospect profiles, posts and websites; generate tailored outreach messages from prospect data. 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 sales teams and agencies running cold outreach to prospects on social and email platforms use it to solve "outreach is spread across several rented tools, so prospect data, message history and reply handling sit in different places and nothing is owned end to end"?
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: Qualified replies per outreach hour and accepted messages per reviewed batch.
4. Measure, then decide. Track qualified replies per outreach hour and accepted messages per reviewed batch; 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 approved sending domain and one connected social account per pilot; final send decisions and reply handling remain with the sales owner. Implement one approved input format, a bounded representative prospect set and the first two task modules: collect permitted prospect profiles, posts and websites; generate tailored outreach messages from prospect data. Support the third module with operator review: prepare messages for email, LinkedIn, Twitter and other social channels. 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 channels and prospect volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewed outreach messages and tracked replies. Retain the explicit scope boundary: One approved sending domain and one connected social account per pilot; final send decisions and reply handling remain with the sales owner.

What the build depends on. Prospect upload and preview, asynchronous generation jobs, editable message history, reviewer access and tested export formats. High-fidelity sending requires platform-compliant accounts and rate limits. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved sending domain and one connected social account per pilot; final send decisions and reply handling remain with the sales owner.

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 outreach package. Offer a monthly sending allowance after repeat demand. Quote complex multi-brand or agency white-label setups separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed outreach messages and tracked replies. 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

Run personalized cold outreach across email and social channels from one owned portal. Demonstrate a concrete reviewed outreach messages and tracked replies using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Sales teams and agencies running cold outreach to prospects on social and email platforms professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed outreach messages and tracked replies from a small authorized prospect set, with a transparent calculation of qualified replies per outreach hour and accepted messages per reviewed batch and no promised savings.

The first 30 days

1. Week 1: interview five sales teams and agencies running cold outreach to prospects on social and email platforms and inspect a recent example of outreach spread across several rented tools, so prospect data, message history and reply handling sit in different places and nothing is owned end to end.
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 qualified replies per outreach hour and accepted messages per reviewed batch, 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: Qualified replies per outreach hour and accepted messages per reviewed batch. 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

Qualified replies per outreach hour and accepted messages per reviewed batch; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed outreach messages and tracked replies. 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 message styles, channel rules and review examples, together with reliable delivery for a narrow sales niche. Build a permissioned library of representative prospect cases, reviewer corrections and verified sending constraints for sales teams and agencies running cold outreach to prospects on social and email platforms. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Outboundly, Devi, ColdHunt, Drippi.ai, EverMail AI and Agent Maya (by Flow AI), plus manual prospecting and generic email tools. Compare this product with the buyer's present method on qualified replies per outreach hour and accepted messages per reviewed batch. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Model calls, social and email sending limits, storage, reviewer hours, client revision rounds and licensed prospect data sources. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed outreach messages and tracked replies. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve prospect consent, source attribution, platform terms and sending permissions. Sales owners approve substantive message changes and send scope. One approved sending domain and one connected social account per pilot; final send decisions and reply handling remain with the sales owner. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.