
Prospect research and outreach coordination portal
Reduce manual prospecting effort while keeping outreach accurate and coordinated.
- For
- Sales teams and founders running outbound prospecting
- Solves
- Prospect research, personalized messaging and follow-up sit in separate tools, so outreach is inconsistent and duplicate contacts happen.
- Delivers
- A reviewed outreach queue with approved messages and tracked follow-ups
- Built in
- about 5 weeks of creation time, MVP in 6 days
- Investment
- $12,500 for the MVP, $42,500 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
Reduce manual prospecting effort while keeping outreach accurate and coordinated.
- Compile prospect lists from permitted sources.
- Score and enrich leads by industry alignment and contact completeness.
- Generate personalized outreach messages per prospect.
- Run multi-step campaigns with automatic follow-ups.
- Track outreach progress, follow-ups and deal stages.
- Share contacts and knowledge in a team workspace.
- Flag and prevent duplicate prospect contact.
- Engage with prospect social posts before direct outreach.
- Store writing style and context for personalization.
- Connect with Gmail, Zapier and similar tools.
- Generate content from customizable templates.
- Analyze campaign data and present it visually.
- Suggest improvements to message quality and accuracy.
- Support real-time team collaboration on campaigns.
- Compare the reviewed result with the recorded baseline and value assumptions.
- Capture corrections and named-owner approval before consequential use.
Everything these tools do, in one app
- Prospect research and list building Finds and compiles potential leads from various sources for outreach.Found in Fuzzy AI, SignalLEMO - Ai Outreach Made Simple
- Lead scoring and enrichment Scores and enriches leads based on factors like industry alignment and contact completeness.Found in SignalLEMO - Ai Outreach Made Simple
- AI-generated outreach messages Creates personalized emails or messages for each prospect.Found in Fuzzy AI, SignalLEMO - Ai Outreach Made Simple
- Automated multi-step campaigns Runs sequences of outreach across channels with automatic follow-ups.Found in Fuzzy AI, SignalLEMO - Ai Outreach Made Simple
- Campaign management and tracking Tracks outreach progress, follow-ups, and deal stages in one place.Found in Fuzzy AI, SignalLEMO - Ai Outreach Made Simple
- Team collaboration workspace Allows teams to share knowledge, contacts, and coordinate outreach efforts.Found in Fuzzy AI, Selix AI
- Duplicate prevention Flags and prevents multiple team members from contacting the same prospect.Found in Fuzzy AI
- Social engagement warming Engages with prospects' social media posts to build familiarity before direct outreach.Found in Fuzzy AI
- Personalization memory Stores user context and writing style to generate messages that sound individual.Found in Fuzzy AI
- Third-party integrations Connects with popular apps like Gmail and Zapier to fit into existing workflows.Found in Selix AI, SignalLEMO - Ai Outreach Made Simple
- Automated content generation Creates content using customizable templates for various purposes.Found in Selix AI
- Data analysis and visualization Interprets complex datasets and presents them visually.Found in Selix AI
- AI-powered suggestions Provides recommendations to improve content quality and accuracy.Found in Selix AI
- Real-time collaboration Enables team members to work together on projects simultaneously.Found in Selix AI
What goes in, what comes out
- Permitted prospect sources
- Team knowledge
- Writing style
- Campaign rules
AI drafts, people review. Operational coordination portal.
- A reviewed outreach queue with approved messages
- Tracked follow-ups
How it works
The workflow
- InStart with
Permitted prospect sources, team knowledge, writing style and campaign rules
- 1
Confirm the buyer's problem and scope
- 2
Collect permitted prospect sources
- 3
Team knowledge
- 4
Writing style and campaign rules
- 5
Then follow this sequence: 1
- OutFinish with
A reviewed outreach queue with approved messages and tracked follow-ups
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 arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved sending domain and one connected mailbox; final message approval and send authorization remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
What your team sees
Primary screens: Prospect research and list building, Campaign and message review, Team workspace and tracking. Use a table view for prospect lists, a central campaign canvas, and a right-hand panel for scoring, enrichment and comments. Let users compare message variants side by side. Display draft, changes requested and approved states. Provide a shared team view with duplicate flags anchored to the relevant prospect. Make the task-specific outcome a reviewed outreach queue with approved messages and tracked follow-ups visible beside its evidence, review state and value baseline.
Accounts and administration
Project ownership, prospect list versions, team comments, approval states, sending allowances, follow-up limits, send 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 actions.
Integrations and data access
Buyer-owned prospect lists, authorized CRM exports and permitted research sources. Gmail, Zapier, 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.
How we build it
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
Scoping call
Day 1Thirty 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
MVP
6 daysOne buyer segment, one recurring use case; first modules: compile prospect lists from permitted sources; score and enrich leads by industry alignment and contact completeness. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
7 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
3 weeksSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe 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.
- Pick the riskiest assumption. Here: will sales teams and founders running outbound prospecting use it to solve "prospect research, personalized messaging and follow-up sit in separate tools, so outreach is inconsistent and duplicate contacts happen"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Qualified replies per outreach hour and duplicate contacts per campaign.
- Measure, then decide. Track qualified replies per outreach hour and duplicate contacts per campaign; 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 mailbox; final message approval and send authorization remain human. Implement one approved input format, a bounded representative prospect set and the first two task modules: compile prospect lists from permitted sources; score and enrich leads by industry alignment and contact completeness. Support the third module with operator review: generate personalized outreach messages per prospect. 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 prospect volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around a reviewed outreach queue with approved messages and tracked follow-ups. Retain the explicit scope boundary: One approved sending domain and one connected mailbox; final message approval and send authorization remain human.
What the build depends on. Prospect upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity outreach requires specialist sales QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved sending domain and one connected mailbox; final message approval and send authorization remain human.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: compile prospect lists from permitted sources; score and enrich leads by industry alignment and contact completeness. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$42,500about 5 weeks of creation time · start with the MVP from $12,500
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.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $30–$60 | $40–$90 | $70–$150 |
| Full productabout 50 customers | $110–$210 | $280–$560 | $390–$770 |
Run it or resell it
For your own team
Sales teams and founders running outbound prospecting run it inside the business: permitted prospect sources, team knowledge, writing style and campaign rules in, a reviewed outreach queue with approved messages and tracked follow-ups out, reviewed by your people.
As part of your offer
Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.
Your brand, or this one
Run it under your own brand, or start from this concept style.
- primary
#912776 - accent
#54c981 - surface
#f1e4ee - ink
#22201e
- Headings
- Sora
- Text
- Work Sans
- Voice
- Direct, upbeat, outcome-focused
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 prospect package. Offer a monthly outreach allowance after repeat demand. Quote complex multi-channel or enterprise integrations separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed outreach queue with approved messages and tracked follow-ups. 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 prospecting effort while keeping outreach accurate and coordinated. Demonstrate a concrete reviewed outreach queue with approved messages and tracked follow-ups using the buyer's approved example and show the baseline, corrections and actual delivery effort.
Where to find buyers
Sales teams and founders running outbound prospecting 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 queue with approved messages and tracked follow-ups from a small authorized input set, with a transparent calculation of qualified replies per outreach hour and duplicate contacts per campaign and no promised savings.
The first 30 days
- Week 1: interview five sales teams and founders running outbound prospecting and inspect a recent example of prospect research, personalized messaging and follow-up sitting in separate tools, so outreach is inconsistent and duplicate contacts happen.
- Week 2: prepare a consented or synthetic demonstration of the three task modules.
- Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
- Week 4: measure qualified replies per outreach hour and duplicate contacts per campaign, 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 duplicate contacts per campaign. 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 duplicate contacts per campaign; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.
Retention and expansion
Repeat the workflow when the buyer again needs a reviewed outreach queue with approved messages and tracked follow-ups. 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, campaign 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 operating constraints for sales teams and founders running outbound prospecting. Repeatable delivery and useful integrations matter more than access to a base model.
Alternatives and positioning
Selix AI, Fuzzy AI, SignalLEMO - Ai Outreach Made Simple, freelancers, sales agencies and manual spreadsheet outreach. Compare this product with the buyer's present method on qualified replies per outreach hour and duplicate contacts per campaign. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.
Main delivery costs
Generation attempts, enrichment lookups, storage, reviewer hours, client revision rounds and licensed prospect data. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of a reviewed outreach queue with approved messages and tracked follow-ups. Track cost per accepted output, including correction work, unsuccessful cases and support.
Safeguards
Preserve prospect consent, source attribution, message accuracy and sending permissions. Buyers approve substantive message changes and send scope. One approved sending domain and one connected mailbox; final message approval and send authorization remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.