Complete AI Training

AI app for sales · no coding needed

Transparent partner matching and referral workbench

Reduce manual partner research while keeping every match explainable and human-approved.

Made for: Business development teams and founders managing partner and referral relationships

What Transparent partner matching and referral workbench looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Partner discovery, vetting, outreach and referral tracking sit in separate tools, so promising matches stall and revenue attribution stays unclear.

What it gives you

Reviewed shortlist of complementary partners with activation plans and attributed revenue

What you give it

Company profiletarget criteriapast partner outcomesreferral history

Build your own version of Collective OS, Arzule and more

One app with what these 3 AI tools do, yours to keep and change: Collective OS, Arzule, FlowMarket.

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

How it works, step by step

  1. Build a company and offer profile
  2. Discover candidate partners from permitted sources
  3. Match partners on complementary criteria
  4. Score and rank partners for prioritization
  5. Show the reasoning behind each recommendation
  6. Draft and queue outreach for human approval
  7. Run a company agent that monitors for new matches
  8. Perform real-time supply-demand matching
  9. Let agents exchange structured messages under limits
  10. Qualify responses and surface promising ones
  11. Share deal flow with verified partners
  12. Vet partners through profiles and checks
  13. Generate a 30-day activation plan
  14. Attribute partner touchpoints to revenue
  15. Track commissions and payouts
  16. Monitor partner health and recommend actions
  17. Configure an agent in minutes
  18. Offer a free entry tier for basic matching

Build it yourself with your AI system

Build this app yourself, no coding needed

Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.

Sign in to see how to build it yourself

Build a quick version to try, or get the full app pack for Transparent partner matching and referral workbench with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.

Sign in Become a member

4 Have it built for you days to a few weeks

Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Transparent partner matching and referral workbench with you.

Have Nexibeo build it

What's in the app pack

Included in the Complete AI Training membership.

  • The building instructions your AI follows, step by step
  • The questions your AI will ask you about your business before it starts
  • A clickable demo you can open in your browser, to see how it should work
  • A detailed blueprint of the screens, the information it keeps and the checks it runs

Become a member to get the app packAlready a member? Sign in

The files, for the technically curious
  • START-HERE.mdHow to build it with your own AI (read first)3 KB
  • README.mdOverview and links4 KB
  • questions.mdQuestions to answer before you build2 KB
  • prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
  • prompt-vps.mdThe same build on your own server (Docker)25 KB
  • spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
  • demo/index.htmlThe working demo on sample data194 KB

Questions

Do I need to know how to code?

No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.

What does it cost?

The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.

How long does it take?

The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.

Can I change it to fit my business?

Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.

More detailsHow the AI works, safeguards and what to build first

Reduce manual partner research while keeping every match explainable and human-approved. For business development teams and founders managing partner and referral relationships, convert company profile, target criteria, past partner outcomes and referral history into a reviewed shortlist of complementary partners with activation plans and attributed revenue. The benefit is a testable hypothesis, measured through qualified partner conversations per week and attributed partner-sourced revenue; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect company profile, target criteria, past partner outcomes and referral history, then follow this sequence: 1. Build a company and offer profile. 2. Discover candidate partners from permitted sources. 3. Match partners on complementary criteria. 4. Score and rank partners for prioritization. 5. Show the reasoning behind each recommendation. 6. Draft and queue outreach for human approval. Resolve uncertain cases with qualified reviewers, approve reviewed shortlist of complementary partners with activation plans and attributed revenue, and measure qualified partner conversations per week and attributed partner-sourced revenue against a documented baseline.

How the AI works

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.

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.

What to build first

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.

What it can connect to

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.

The screens in detail

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.