Referral Lead Engine

For

Referral partners at boutique B2B service providers

Solves

Domain experts waste hours on content creation and manual lead screening before earning referral commissions.

Delivers

Published authority content and pre-qualified lead summaries with scores and context

Built in

about 3 weeks of creation time, MVP in 3 days

Investment

$6,500 for the MVP, $23,000 for the full product

Run it

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

For referral partners at boutique B2B service providers, turn niche expertise and inbound emails into pre-qualified, referral-ready lead summaries.

1. Define niche and partner referral criteria.
2. Schedule AI-written articles and newsletters.
3. Read incoming emails and attachments.
4. Score leads against partner criteria.
5. Package qualified leads into one-page summaries.
6. Forward summaries to partners with copy to user.

What goes in, what comes out

The workflow

1. In
   Start with

   Niche definition, partner list with referral criteria, inbound emails and attachments

2. 1

   Set niche

3. 2

   Configure partner criteria

4. 3

   Publish content

5. 4

   Monitor inbound emails

6. 5

   Score leads

7. 6

   Review summaries manually

8. 7

   Forward qualified leads to partners

9. Out
   Finish with

   Published authority content and pre-qualified lead summaries with scores and context

AI does the heavy lifting, people stay in charge

Use language models to research trends, write articles and extract needs from emails and attachments. Score leads against structured partner criteria with deterministic checks for budget and timing. A human reviews every lead summary before forwarding to partners.

What your team sees

Key screens: Niche setup, content calendar, lead inbox, qualification queue. Use a dashboard with a content schedule on the left and a lead feed on the right. Let users open each lead to see a scorecard against partner criteria. Display qualification status, budget signals and a one-page summary. Provide a forward action with partner details and audit trail. In this product, the first view is niche setup, followed by content calendar and lead inbox.

Accounts and administration

User accounts for niche owner and partners, content versions, lead statuses, approval states, audit trail for forwarded leads, and permission controls for partner visibility.

Integrations and data access

Email inbox (Gmail or Outlook), website CMS, newsletter tool, and CRM for partner forwarding.

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

   3 days

   One buyer segment, one recurring use case. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   4 days

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

4. 4

   Full product

   7 days

   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 referral partners at boutique B2B service providers use it to solve "domain experts waste hours on content creation and manual lead screening before earning referral commissions"?
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. Run a 30-day pilot with three partners, tracking baseline lead conversion rates before and after.
4. Measure, then decide. Track percentage of qualified leads accepted by partners and time saved per lead compared to manual screening. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. One niche with three referral partners, a simple site with five AI-written articles, and a single inbound qualification workflow that forwards scored leads for manual review before partners see them.

After the MVP. Automate lead scoring with partner feedback loops, add voice call qualification, and expand to multiple niches with shared content and lead routing.

What the build depends on. Reliable email parsing APIs, language model access for content and scoring, and a structured database for lead criteria and audit logs.

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 flat monthly retainer of USD 500 per partner plus USD 50 per qualified lead, with a pilot of three partners.

Message to test

Turn your expertise into a steady stream of pre-qualified referral leads without writing or screening.

Where to find buyers

LinkedIn groups for niche recruiters and M&A advisors, referral network forums, and direct outreach to boutique B2B service providers.

Lead magnet

A free lead quality audit showing how many current inquiries meet partner criteria.

The first 30 days

1. Week 1: Define niche and partner criteria, set up email intake.
2. Week 2: Build content agent and publish five articles.
3. Week 3: Configure lead scoring and manual review workflow.
4. Week 4: Test with ten real leads and refine scoring.

Paid pilot

Run a 30-day pilot with three partners, tracking baseline lead conversion rates before and after. Decision: if at least 20% of AI-qualified leads convert to referrals, expand to more partners.

Success metrics

Percentage of qualified leads accepted by partners and time saved per lead compared to manual screening.

Retention and expansion

Partners stay because the retainer covers a continuous flow of vetted leads; renewals depend on maintaining lead quality and adding new partners to the niche.

Why clients would pick it

The partner-specific scoring criteria and historical lead quality data become proprietary, making it harder for competitors to replicate the exact qualification accuracy.

Alternatives and positioning

Manual content creation with email triage and spreadsheet scoring; this differs by automating both content and qualification in one workflow with transparent scoring.

Main delivery costs

AI inference for content and lead scoring, hosting for site and email processing, and human review time for the first hundred leads.

Limit lead forwarding to approved partners, require human approval before any send, keep audit trail of all scoring decisions, and never auto-send without user review. Must not share raw contact details without consent.