
Transparent partner matching and referral workbench
Reduce manual partner research while keeping every match explainable and human-approved.
- For
- Business development teams and founders managing partner and referral relationships
- Solves
- Partner discovery, vetting, outreach and referral tracking sit in separate tools, so promising matches stall and revenue attribution stays unclear.
- Delivers
- Reviewed shortlist of complementary partners with activation plans and attributed revenue
- Built in
- about 5 weeks of creation time, MVP in 6 days
- Investment
- $13,500 for the MVP, $46,000 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
Reduce manual partner research while keeping every match explainable and human-approved.
- Build a company and offer profile.
- Discover candidate partners from permitted sources.
- Match partners on complementary criteria.
- Score and rank partners for prioritization.
- Show the reasoning behind each recommendation.
- Draft and queue outreach for human approval.
- Run a company agent that monitors for new matches.
- Perform real-time supply-demand matching.
- Let agents exchange structured messages under limits.
- Qualify responses and surface promising ones.
- Share deal flow with verified partners.
- Vet partners through profiles and checks.
- Generate a 30-day activation plan.
- Attribute partner touchpoints to revenue.
- Track commissions and payouts.
- Monitor partner health and recommend actions.
- Configure an agent in minutes.
- Offer a free entry tier for basic matching.
Everything these tools do, in one app
- AI partner discovery Uses AI to find and suggest potential partners that fit your business.Found in Collective OS, Arzule, FlowMarket
- Partner matching Matches you with complementary partners based on various criteria.Found in Collective OS, FlowMarket
- Partner scoring Scores partners to help prioritize which ones to engage with.Found in Arzule
- Automated outreach Automatically reaches out to potential partners to initiate contact.Found in Arzule
- Agent-based representation Creates AI agents that represent your company and operate continuously to discover opportunities.Found in FlowMarket
- Real-time matching Performs supply-demand matching and generates deal flow in real time.Found in FlowMarket
- Agent-to-agent interactions Allows AI agents to interact and negotiate with each other on your behalf.Found in FlowMarket
- Automated qualification Automatically qualifies leads and surfaces promising ones to humans.Found in FlowMarket
- Referral network Provides a network for sharing deal flow and coordinating co-pitches with verified partners.Found in Collective OS
- Partner profiles and vetting Offers profiles and vetting tools to evaluate partner fit before engaging.Found in Collective OS
- Activation plans Creates structured plans to convert partnership strategy into a 30-day execution roadmap.Found in Arzule
- Revenue attribution Links partner touchpoints to revenue outcomes for measurable attribution.Found in Arzule
- Commission tracking Tracks commissions related to partner activities.Found in Arzule
- Partner health analytics Provides analytics on partner health to monitor performance.Found in Arzule
- Continuous monitoring Continuously monitors partner ecosystem and provides proactive recommendations.Found in Arzule
- Transparent reasoning Shows the reasoning behind AI recommendations so teams understand the factors.Found in Arzule
- Fast agent setup Allows creating and configuring an agent in minutes to begin matching immediately.Found in FlowMarket
- Free entry option Offers a free sign-up or free tier to try basic features without cost.Found in Collective OS, Arzule, FlowMarket
What goes in, what comes out
- Company profile
- Target criteria
- Past partner outcomes
- Referral history
AI drafts, people review. Transparent opportunity matching and shortlist platform.
- Reviewed shortlist of complementary partners with activation plans
- Attributed revenue
How it works
The workflow
- InStart with
Company profile, target criteria, past partner outcomes and referral history
- 1
Confirm the buyer's problem and scope
- 2
Collect company profile
- 3
Target criteria
- 4
Past partner outcomes and referral history
- 5
Then follow this sequence: 1
- OutFinish with
Reviewed shortlist of complementary partners with activation plans and attributed revenue
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 data source set and outreach limits; final partner commitments and commercial terms remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
What your team sees
Primary screens: Company and offer profile, Partner shortlist and reasoning, Referral and deal pipeline. Use a card list for candidate partners, a detail panel showing match factors and score breakdown, and a pipeline view for outreach, qualification and referral states. Let users compare partners side by side. Display suggested, contacted, qualified, active and declined states. Provide a shared referral link with comments anchored to the relevant partner record. Make the task-specific outcome reviewed shortlist of complementary partners with activation plans and attributed revenue visible beside its evidence, review state and value baseline.
Accounts and administration
Organization ownership, partner records, outreach limits, approval states, referral permissions, commission rules, export history and a rights record for supplied contact data. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.
Integrations and data access
CRM, email and calendar, partner directories and permitted contact data sources. Cloud storage, deal pipeline export and referral link destinations. Start with file exchange and validate destination specifications before promising direct CRM sync. 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: build a company and offer profile; discover candidate partners from permitted sources. 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 business development teams and founders managing partner and referral relationships use it to solve "partner discovery, vetting, outreach and referral tracking sit in separate tools, so promising matches stall and revenue attribution stays unclear"?
- 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 partner conversations per week and attributed partner-sourced revenue.
- Measure, then decide. Track qualified partner conversations per week and attributed partner-sourced revenue; 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 data source set and outreach limits; final partner commitments and commercial terms remain human. Implement one approved input format, a bounded representative case set and the first two task modules: build a company and offer profile; discover candidate partners from permitted sources. Support the third module with operator review: match partners on complementary criteria. 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 shortlist of complementary partners with activation plans and attributed revenue. Retain the explicit scope boundary: One approved data source set and outreach limits; final partner commitments and commercial terms remain human.
What the build depends on. Contact data upload and preview, asynchronous matching jobs, editable partner history, reviewer access and tested export formats. High-fidelity matching requires specialist sales QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved data source set and outreach limits; final partner commitments and commercial terms 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: build a company and offer profile; discover candidate partners from permitted sources. 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$46,000about 5 weeks of creation time · start with the MVP from $13,500
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
Business development teams and founders managing partner and referral relationships run it inside the business: company profile, target criteria, past partner outcomes and referral history in, reviewed shortlist of complementary partners with activation plans and attributed revenue 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
#912756 - accent
#54c972 - surface
#f1e4ea - 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 partner program. Offer a monthly matching allowance after repeat demand. Quote complex multi-region or regulated partner programs separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed shortlist of complementary partners with activation plans and attributed revenue. 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 partner research while keeping every match explainable and human-approved. Demonstrate a concrete reviewed shortlist of complementary partners with activation plans and attributed revenue using the buyer's approved example and show the baseline, corrections and actual delivery effort.
Where to find buyers
Business development teams and founders managing partner and referral relationships professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.
Lead magnet
A reviewed sample reviewed shortlist of complementary partners with activation plans and attributed revenue from a small authorized input set, with a transparent calculation of qualified partner conversations per week and attributed partner-sourced revenue and no promised savings.
The first 30 days
- Week 1: interview five business development teams and founders managing partner and referral relationships and inspect a recent example of partner discovery, vetting, outreach and referral tracking sit in separate tools, so promising matches stall and revenue attribution stays unclear.
- 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 partner conversations per week and attributed partner-sourced revenue, 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 partner conversations per week and attributed partner-sourced revenue. 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 partner conversations per week and attributed partner-sourced revenue; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.
Retention and expansion
Repeat the workflow when the buyer again needs reviewed shortlist of complementary partners with activation plans and attributed revenue. 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 partner criteria, referral outcomes and review examples, together with reliable delivery for a narrow sales niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for business development teams and founders managing partner and referral relationships. Repeatable delivery and useful integrations matter more than access to a base model.
Alternatives and positioning
Collective OS, Arzule and FlowMarket, plus spreadsheets and manual outreach. Compare this product with the buyer's present method on qualified partner conversations per week and attributed partner-sourced revenue. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.
Main delivery costs
Data source access, agent runtime, storage, reviewer hours, outreach review rounds and permitted contact data. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed shortlist of complementary partners with activation plans and attributed revenue. Track cost per accepted output, including correction work, unsuccessful cases and support.
Safeguards
Preserve partner consent, source attribution, contact accuracy and outreach permissions. Humans approve substantive outreach and commercial terms. One approved data source set and outreach limits; final partner commitments and commercial terms remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.