Why prop firms look at ai reporting.
Prop firm data sits in several places: the trading platform's back office, the payment processor, the affiliate tracker and the support desk. Management wants one view of sales, payout exposure and which affiliates actually bring traders who buy again.
Building that view by hand every week is slow, and it is usually the founder doing it.
What the agent does, step by step.
Runs after the week closes; alerts in between.
Sales, account phases, payouts, affiliate attribution, support topics.
Sales against payments; payouts against approvals.
Changes in sales mix, payout ratio and affiliate quality.
A short written view for management, with links to the numbers.
Systems it works with.
Back-office access varies by platform; we work from API access or scheduled exports.
Where a human decides.
Financial reporting must be reproducible.
How you know it works.
Measure: hours spent building the weekly report, and how early payout or affiliate anomalies are spotted.
Example with assumed numbers: if a founder or analyst spends 6 hours a week pulling and reconciling data, that is about 26 hours a month. Most of it goes away; the review takes minutes.
The example uses assumed numbers to show the method. It is not a client result or a promise.
What it costs.
All prices excl. VAT. The fixed quote comes from the AI Blueprint.
When this is not the right build.
If your platform's own dashboard already gives management everything in one place, add alerts only.
Common questions.
Can it show affiliate quality, not just volume?
Yes, for example repeat purchases and refund rates per affiliate, if your data links traders to affiliates.
Is trader data exposed?
Management reports use aggregates; drill-downs follow your access rules.
Want this in your business?
Tell us how you work today. We'll tell you honestly what AI can take off your team's plate, what it costs, and whether we are the right fit.