Detect undisclosed vendor compensation including rebate retention, spread pricing, data monetization, and affiliate kickbacks that violate ERISA §408(b)(2) fee disclosure requirements
Your broker disclosed a $240K annual commission. Transparent, right? Then a forensic audit discovered: $1.8M in undisclosed PBM override commissions, $2.1M in captive TPA affiliate revenue, $1.2M in data monetization fees, and $1.3M in consulting kickbacks from preferred vendors. Total undisclosed compensation: $6.4M. Your disclosed $240K was 3.6% of actual revenue extracted from your plan.
Our Hidden Revenue Detection Engine traces compensation flows across 12 revenue categories (rebate retention, spread pricing, data monetization, affiliate kickbacks, override commissions, administrative fees, proprietary product placement, consulting referral fees, captive reinsurance profits, performance bonuses, termination penalties, and soft-dollar arrangements), quantifies undisclosed amounts, and generates ERISA §408(b)(2) compliance reports.
Hidden Revenue Detection Algorithm// Trace all compensation flows REVENUE_CATEGORIES = [ rebate_retention, spread_pricing, data_monetization, affiliate_kickbacks, override_commissions, admin_fee_markups, proprietary_placement, referral_fees, captive_reinsurance, performance_bonuses, termination_penalties, soft_dollar_arrangements ] FOR each vendor IN [broker, PBM, TPA, stop_loss, consultant]: // Layer 1: Rebate Retention IF vendor == PBM: ANALYZE rebate_flow: disclosed_rebates = CONTRACT.rebate_pass_through actual_rebates = GET_manufacturer_confirmation() retention = actual_rebates - disclosed_rebates IF retention > 0: FLAG "Undisclosed rebate retention: $" + retention // Layer 2: Spread Pricing IF vendor IN [PBM, specialty_pharmacy]: ANALYZE drug_pricing: FOR each claim: carrier_paid = claim.allowed_amount ingredient_cost = GET_invoice_or_nadac() spread = carrier_paid - ingredient_cost - dispensing_fee IF spread > $2.00: FLAG "Spread pricing detected: $" + spread total_spread = SUM(all spreads) // Layer 3: Data Monetization FOR each vendor WITH data_access: INVESTIGATE: - Data sharing agreements with pharma? - De-identification and resale terms? - Compensation for claims data access? - Member consent obtained? IF undisclosed_data_revenue EXISTS: FLAG "Data monetization: $" + estimated_value // Layer 4: Affiliate Kickbacks IF vendor HAS affiliate_network: TRACE referrals TO: - Captive TPA - Preferred stop-loss carrier - Rebate aggregator - Consulting firm - Wellness vendor FOR each referral: IF compensation_received AND NOT disclosed: FLAG "Affiliate kickback: $" + referral_fee // ... 8 more revenue layers ... // Quantify total undisclosed compensation total_hidden_revenue = SUM(all flagged amounts) disclosed_compensation = CONTRACT.stated_fees disclosure_ratio = disclosed / (disclosed + total_hidden_revenue) GENERATE: - Undisclosed revenue summary by category - Vendor compensation breakdown - ERISA §408(b)(2) compliance assessment - DOL audit defense package
Trace all vendor compensation flows across 12 revenue categories. Detect undisclosed payments. Quantify shadow revenue. Demand full ERISA §408(b)(2) compliance—no more hidden kickbacks.
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