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AI-operated partner & affiliate programme operations
Collabur handles the recruitment, tracking, fraud screening and payout preparation for your partner and affiliate programme, while your team approves the terms and releases every payout.
Market
What Collabur operates
AI colleagues perform the recurring work; humans hold approval authority at defined control points.
AI colleagues identify and qualify prospective partners and run onboarding outreach, with same-day applicant handling to avoid losing partners. Partner terms and acceptance thresholds are set and approved by a human; borderline applicants are routed for review.
Referred activity is tracked against your agreed attribution rules, designed to remain workable as cookie-based methods weaken. This produces the activity record that underpins each payout.
Referral patterns are screened for suspicious behaviour — cookie-stuffing, attribution theft and invalid traffic — beyond static rules. Flagged patterns escalate to a human reviewer.
Payout amounts are computed, conversions validated and figures reconciled against the activity record, addressing manual validation, duplicate payments and missed commissions. No payout executes without explicit human sign-off.
Partner content is monitored for advertising-disclosure requirements to support your standing obligation under the FTC's 2023 Endorsement Guides. Accountability remains with your team; remediation actions are surfaced for approval.
Each referral and payout carries a record of the underlying activity and the approval step, supporting audit trails and dispute resolution. This is where human control points are configured and enforced.
How it works
AI colleagues source and qualify candidates and run onboarding. Applicants within approved thresholds are accepted; others are routed to a human, preserving the same-day cadence practitioners say is needed to avoid losing partners.
Referred activity is tracked against agreed attribution rules and written to the activity record. Anomalies feed screening.
Referral patterns are screened for fraud signals. Anything exceeding configured thresholds or triggering a fraud signal is escalated to a human reviewer before it can affect a payout.
Payout amounts are computed and reconciled against validated conversions, then presented for explicit human sign-off. Funds move only after approval.
Partner disclosures are monitored against configured requirements. Suspected gaps are surfaced with recommended remediation for human approval, supporting the FTC oversight duty.
What is different
Self-serve trackers supply software but not labour; enterprise platforms assume you employ a partnerships team. Collabur operates the programme for brands between the two.
AI colleagues carry out recruitment, tracking, screening and payout preparation. Accountable humans decide who is approved as a partner, on what terms, under what disclosure obligations, and whether each payout is released.
Revenue is a subscription plus a fee scaled to programme volume, deliberately independent of your partner payouts. Collabur is paid for running a sound programme, not for larger payouts.
Every referral and payout is written to an approval-and-audit ledger recording the underlying activity and the approval step, supporting audit trails and dispute resolution.
The service reduces the operational burden of running a programme, not your accountability for it. Commercial terms and disclosure compliance remain under your control.
Questions
Your accountable humans do. Approval authority sits at four defined control points: partner terms, commission structures, advertising-disclosure requirements, and payout release. AI colleagues cannot alter commercial terms and cannot release payouts, and no payout executes without explicit human sign-off.
Revenue is a subscription plus a fee scaled to programme volume. It is deliberately independent of your partner payouts, so our incentives sit with programme integrity rather than payout size.
AI colleagues perform the recurring operating work: sourcing and qualifying partners, onboarding outreach, tracking referred activity, screening referral patterns for fraud, and computing payout amounts. Your team sets strategy and holds approval at the defined control points. Decisions that exceed configured thresholds or trigger a fraud signal are routed to a human reviewer.
Referral patterns are screened for suspicious behaviour — cookie-stuffing, attribution theft and invalid traffic — beyond static rules, in a channel where ad fraud was reported at around 17% of affiliate traffic in 2022. Flagged patterns escalate to a human reviewer before they can affect a payout.
Disclosure monitoring supports, but does not assume, your standing obligation under the FTC's 2023 Endorsement Guides. Partner content is monitored against configured requirements and suspected gaps are surfaced with recommended remediation for your approval. Accountability remains with your team.
Activity is tracked against your agreed attribution rules, designed to remain workable as cookie-based methods weaken, and written to the activity record that underpins each payout.
We are open about this: the compliance evidence gathered to date is US-only. UK, EU and GCC regimes require dedicated research before we operate against them. Payout handling is regulated and trust-sensitive, so procurement includes trust and compliance diligence under human fiduciary approval.
