STP & Process Defect Analysis

Most payment fintechs don't track straight-through processing (STP) rates - the percentage of transactions completing without manual intervention. Process defects like manual reviews, reconciliation exceptions, routing failures, and retry loops quietly consume operations capacity and prevent scaling. A fintech with 80% STP processing 100K monthly transactions means 20,000 require human touch - creating a scaling wall where 3x volume growth requires 3x headcount growth.

This solution measures STP performance, identifies specific process defects preventing automation, quantifies operational capacity lost to manual work, and provides recommendations to build scalable payment operations.

WHAT DOES IT SOLVE?

STP Rate Measurement & Monitoring

• Answers: What's our current STP rate, and how does it compare by transaction type and payment method?

• What it contains: STP rates by transaction type, payment method, geography, channel, segment; historical trends; benchmark comparisons by category; automated spike detection and alerts; performance variation pattern by transaction characteristics

Manual Intervention Root Cause Analysis

• Answers: What defects, system integration gaps or policies trigger manual intervention and what's the frequency of each?

• What it contains: Categorization of manual interventions (payment holds, manual reviews, reconciliation breaks, failed routing, data quality issues); defect volume by type & root cause; Integration point failure analysis (PSP APIs, banking systems, internal services)

Manual Intervention Impact Analysis

• Answers: How much operational capacity, customer satisfaction and cost are we losing to each intervention type?

• What it contains: operational capacity (FTE) consumed by manual work; staff allocation to exceptions vs value-add activities; customer experience impact (delays, friction); cost per internet & impact on CPT; scaling constraints from current manual work levels

Process Bottlenecks & Defect Pattern Analysis

• Answers: Where in our process flow are transactions getting stuck and what are the defect patterns by transaction features ?

• What it contains: Process flow mapping with failure points; bottleneck identification at each workflow step; defect clustering patterns; handoff points causing delays; systematic vs random failure analysis; workflow steps with highest intervention rates

Reconciliation & Settlement Analysis

• Answers: Where are reconciliation failures occurring, and what's the root cause?

• What it contains: Reconciliation break frequency and patterns; settlement discrepancy analysis; systematic vs one-off reconciliation issues; multi-PSP reconciliation complexity breakdown

CORE MODULES

Descriptive & Diagnostic

STP & Scalability Decision Support

• Answers: What specific activities that automation would make the biggest impact on STP, Scalability, transaction lead time given real-life business constraints?

• What it contains: Prioritized automation opportunities with expected STP improvement; capacity freed and cost savings per opportunity; impact on transaction processing time; implementation complexity vs benefit scoring

Operational Capacity Planning Model

• Answers: How do we forecast headcount needs under different volume and STP scenarios?

• What it contains: Capacity planning model for operations team; headcount forecasts by growth scenario; automation vs hiring trade-off analysis; ROI modeling for process improvement investments

Automation & AI Investment ROI Model

• Answers: Which automation and AI investments deliver the highest return, and are we ready to implement them?

• What it contains: Financial ROI modeling for automation opportunities (cost savings, capacity freed, implementation costs); AI/ML readiness assessment (data volume, quality, infrastructure); build vs buy analysis for automation tools; prioritization framework by ROI and implementation complexity; risk-adjusted return calculations; phased investment roadmap with quick wins vs strategic bets

ADVANCED MODULES

Predictive & Prescriptive

DELIVERABLES

Built in PowerBI, Tableau, or Looker & adhering to client's brand book

Dedicated tab per analysis plus executive summary overview

AI-generated insights and recommended actions per analysis

SQL queries built in client's database system with controlled access

Python scripts for statistical and ML models (if applicable)

Added to client's GitHub repository, or delivered as standalone package

Technical Guide: Data sources, logic, formulas & maintenance procedures

Analysis Handbook: Metric definitions, interpretation, use cases & action framework

Dashboard

Code Base

Documentation

Knowledge Transfer

Live & Recorded walkthrough of dashboard functionality and insights

Q&A session covering methodology, use cases, and recommendations

30-day post-delivery support for questions and adjustments

MAIN REQUIREMENTS

• Transaction and operational data must be accessible in a relational database

• BI Platform Subscription with data base gateway for dashboard automation.

• Relevant APIs & ETL workflows should be functional and consistent.

Data Infrastructure*

• Transaction Processing Data - with completion status, processing steps, manual intervention flags, and timestamps

• Operations Activity Logs - Manual review records, exception handling tickets, reconciliation tasks, and staff time allocation

• System Performance Data - API response times, integration failures, routing logic execution, and error logs

• Payment Method & PSP Data - Payment method types, PSP routing, reconciliation records, and settlement data

Data Sets

*Data infrastructure set up is out of scope. It can be provided as a separate engagement.