How do brokers use AI for introducing brokers and affiliates?
Brokers use AI across the IB and affiliate stack for four functions: commission audit (catching miscalculations and rebate errors at scale), sub-IB scoring (per-IB EV modelling on trader quality, tenure and deposit behaviour), fraud-ring detection (device, IP, timing and trading-pattern graphs) and master-IB analytics (leaderboards with per-IB reasoning). Together these usually recover 3–8% of gross commission that leaks through manual review.
Brokers use AI across the IB and affiliate stack for four functions: commission audit (catching miscalculations and rebate errors at scale), sub-IB scoring (per-IB EV modelling on trader quality, tenure and deposit behaviour), fraud-ring detection (device, IP, timing and trading-pattern graphs) and master-IB analytics (leaderboards with per-IB reasoning). Together these usually recover 3–8% of gross commission that leaks through manual review.
The IB channel is under-instrumented
IB and affiliate networks are often the least-instrumented part of a retail broker's business. Commission errors, sub-IB fraud, coordinated-account rings and low-quality traffic all get missed until they are large enough to hurt. AI closes the visibility gap without adding headcount.
Related questions
Does this replace human IB managers?
No. It gives them a dashboard and a leaderboard with reasoning per IB.
How much commission leakage does audit typically catch?
3–8% of gross commission in the first quarter.
Fraud-ring detection accuracy?
Precision depends on the network. In production we see 70–90% catch rate on coordinated rings before payout.
Price?
The IB & Affiliate Intelligence productised build is £95k / 6 weeks.
Does this work with our existing IB portal?
Yes — reads from and writes to the portal via APIs.
The IB channel is where a lot of retail-broker money is quietly leaving the building. AI is the fastest way to close the visibility gap.
The £15k AI Diagnostic sizes the IB-channel opportunity specific to your network.