Multi-format processing
First Data, WorldPay, TSYS, Heartland, Square, Stripe, hundreds more. FRS canonicalization maps fee labels to canonical categories. New format? Configuration, not code.
Use Cases
Merchant Statement Analysis
MightyBot automates merchant statement analysis -- every fee, every rate, every processor format. Analysis that took hours now takes minutes. Deals close faster.
Why MightyBot
MightyBot executes merchant statement analysis end-to-end. Every processor format parsed. Every fee extracted. Rates benchmarked. Savings quantified. Evidence pointers link every number to the source. 30-60 minute analyses done in minutes. Proven in production with RocketFee.
Automate Merchant Statement Analysis
Processor consolidation, new fee categories, regulatory scrutiny of interchange: the landscape shifts constantly. A single statement contains hundreds of line items across interchange fees, assessments, markups, PCI fees, batch fees, charges varying by card type and volume tier. MightyBot adapts without manual reconfiguration. Parses every format, extracts every fee, benchmarks rates, quantifies savings in minutes.
The Problem
Statement analysis is the critical first step in every ISO sales engagement. A rep must identify effective rates, isolate markups from pass-through costs, find hidden fees, and calculate savings. This takes 30-60 minutes per statement. The bottleneck kills sales velocity — every queued statement is a merchant waiting. Rush it and miss fees. Take your time and lose the deal. Hiring alone cannot break the ceiling.
Format chaos
First Data, WorldPay, TSYS, Heartland, Stripe: all different, and they change without warning.
Industry consolidation
Acquirer mergers and platform changes mean statement formats evolve constantly. What worked last quarter may not parse today.
Fee complexity
Hundreds of line items across interchange, assessments, markups, and ancillary charges.
Context dependence
A "processing fee" means something different in every format.
Accuracy stakes
Over-promised savings erode trust and kill deals.
Volume ceiling
Reps limited to 5-10 manual analyses per day.
How MightyBot Executes
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Comprehensive fee extraction
Every category, rate, and transaction count. Interchange by card type. Assessments. Markups. Monthly, PCI, batch, chargeback fees.
Benchmark reconciliation
Markups isolated from pass-through costs. Hidden fees identified. Regulatory compliance verification: disclosed rates matched against actual charges per Durbin and card network rules. Evidence-backed savings that hold up when merchants ask "show me."
Sales-ready output
Effective rate, markup percentage, savings under proposed structures. Evidence pointers to the source statement.
Before vs After
Production Metrics
Proven in production with RocketFee -- payments technology company embedding MightyBot's Data Engine for automated statement analysis.
70% Faster analysis cycle time
4-5x More statements processed per rep per day
99%+ Accuracy on fee extraction across major formats
Same-day Proposals with backlog eliminated
Higher Conversion from evidence-backed savings projections
Analysis that took hours. Now takes minutes. Proven with RocketFee.
Request a demoFAQ
Frequently Asked Questions
How many processor formats does MightyBot support?
All major processors — First Data, WorldPay, TSYS, Heartland, Global Payments, Square, Stripe, and hundreds more. The pipeline adapts to new formats through classification and canonicalization. No rigid templates.
Can MightyBot calculate savings under a proposed rate structure?
Fees extracted and categorized. Savings modeled under interchange-plus, tiered, or flat-rate structures. Pass-through costs isolated from markups. Projections reflect actual margin reduction.
How accurate is the fee extraction?
95%+ in production. Every value includes an evidence pointer to the source location. In practice, more accurate than manual analysis by experienced analysts.
Does MightyBot integrate with our CRM or proposal tools?
Connects to your CRM, proposal generation, and sales tools via APIs. Data flows into your existing workflow. The integration is the product.
Can MightyBot handle poor quality scans or photos?
The pipeline processes PDFs, scans, and photos — handling quality variations common in statements that are photographed, faxed, or scanned from paper.
How does MightyBot handle different pricing models?
Interchange-plus, tiered, flat-rate, hybrid — all recognized and correctly parsed. Interchange isolated from markup. The canonical schema normalizes all structures for consistent comparison.