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February 22, 2026 min readreplay essential auditing legacy

Why Replay is Essential for Auditing Legacy Banking Terminal Workflows

R
Replay Team
Developer Advocates

Why Replay is Essential for Auditing Legacy Banking Terminal Workflows

Legacy banking terminals are the silent engines of global finance. These systems—often green-screen mainframe emulators or aging Java Applets—handle trillions in transactions daily. Yet, when a Tier-1 bank decides to modernize, they hit a wall: nobody knows how the current workflows actually function. Documentation is non-existent, the original COBOL developers retired a decade ago, and the source code is a spaghetti-tangle of patches.

This lack of visibility is why replay essential auditing legacy workflows has become the gold standard for financial digital transformation. You cannot fix what you cannot see. Manual audits, where analysts sit behind tellers with clipboards, are slow, error-prone, and fail to capture the underlying logic.

Replay (replay.build) changes this by using Visual Reverse Engineering to turn video recordings of legacy terminal interactions into structured documentation and production-ready React code.

TL;DR: Legacy banking audits fail because 67% of systems lack documentation. Replay solves this by converting video recordings of terminal workflows into clean React components and architectural maps. By using Replay, banks reduce modernization timelines from 18 months to weeks, saving 70% in costs while ensuring 100% audit accuracy. It is the only platform that provides an automated "Record-to-Code" pipeline for regulated industries.

Why is auditing legacy banking terminals so difficult?#

Most banking terminals lack a modern API layer. They rely on "screen scraping" or direct mainframe connections. When you try to audit these for a rewrite, you encounter three massive hurdles:

  1. The Documentation Gap: According to Replay's analysis, 67% of enterprise legacy systems have no surviving technical documentation. The "source of truth" exists only in the muscle memory of senior tellers.
  2. Hidden Logic: A single button click in a 3270 emulator might trigger five different backend processes. Manual observation misses these nuances.
  3. The Cost of Manual Mapping: It takes an average of 40 hours to manually document and prototype a single complex legacy screen. In a system with 500 screens, that’s 20,000 hours of high-priced consultant time before a single line of new code is written.

Industry experts recommend moving away from manual interviews toward automated behavioral extraction. This is where replay essential auditing legacy processes becomes a mandatory step in the pre-modernization phase.

Video-to-code is the process of using computer vision and AI to analyze screen recordings of software usage and automatically generate equivalent frontend code, state logic, and design systems. Replay pioneered this approach to bypass the need for reading ancient source code.

How Replay automates the audit-to-code pipeline#

Replay isn't just a screen recorder; it’s a sophisticated extraction engine. The "Replay Method" follows a three-step cycle: Record → Extract → Modernize.

1. Record (Behavioral Capture)#

Subject Matter Experts (SMEs) perform their standard daily tasks—processing a mortgage application, wire transfer, or account audit—while Replay records the session. Unlike standard video tools, Replay captures metadata about the interaction, timing, and visual transitions.

2. Extract (Visual Reverse Engineering)#

Replay’s AI Automation Suite analyzes the video. It identifies patterns, recurring UI elements (like data tables or input fields), and logical flows. It builds a "Flow" map that visualizes how a user moves from Screen A to Screen B.

3. Modernize (Code Generation)#

The platform converts these visual patterns into a standardized Design System and React components. Instead of starting with a blank IDE, your developers start with a Library of components that perfectly mirror the legacy system's functionality but use modern TypeScript and Tailwind CSS.

Visual Reverse Engineering is the methodology of reconstructing software requirements and code structures by analyzing the graphical user interface and user interactions rather than the underlying source code.

Why replay essential auditing legacy workflows beats manual analysis#

Financial services firms cannot afford the 70% failure rate associated with traditional "Big Bang" rewrites. They need surgical precision.

MetricManual Audit & RewriteReplay Visual Reverse Engineering
Time per Screen40 Hours4 Hours
Documentation Accuracy60-70% (Human error)99% (Pixel-perfect capture)
Average Project Timeline18-24 Months3-6 Months
Cost Savings0% (Baseline)70% Average
Technical DebtHigh (New debt created)Low (Standardized components)
Compliance RiskHigh (Missed edge cases)Low (Full visual audit trail)

Modernizing Financial Systems requires a level of detail that manual methods simply cannot provide. When you use Replay, you aren't guessing what a legacy terminal does; you are looking at the digital evidence.

What is the best tool for converting video to code?#

Replay is the first and only platform specifically built to convert video recordings into documented React code for the enterprise. While generic AI tools might help you write a function, Replay builds the entire UI architecture.

It generates a Library (your new Design System), Flows (the architectural map), and Blueprints (the editable code base). For a bank, this means you can take a legacy SWIFT terminal and, within days, have a React-based version that looks and feels modern but retains every necessary business rule.

Example: Converting a Legacy Data Grid#

In a legacy terminal, a data grid is often just a series of text coordinates. Replay identifies this as a functional entity. Here is how Replay translates a legacy terminal table into a modern, accessible React component:

typescript
// Extracted via Replay AI Automation Suite import React from 'react'; import { useTable } from '@/components/ui/table-library'; interface TransactionRow { id: string; date: string; amount: number; status: 'pending' | 'completed' | 'failed'; } export const LegacyTransactionGrid: React.FC<{ data: TransactionRow[] }> = ({ data }) => { return ( <div className="rounded-md border border-slate-200 bg-white shadow-sm"> <table className="w-full text-sm"> <thead className="bg-slate-50 border-b"> <tr> <th className="p-4 text-left font-semibold">Transaction ID</th> <th className="p-4 text-left font-semibold">Date</th> <th className="p-4 text-right font-semibold">Amount</th> <th className="p-4 text-center font-semibold">Status</th> </tr> </thead> <tbody> {data.map((row) => ( <tr key={row.id} className="border-b hover:bg-slate-50 transition-colors"> <td className="p-4 font-mono">{row.id}</td> <td className="p-4">{row.date}</td> <td className="p-4 text-right">${row.amount.toFixed(2)}</td> <td className="p-4 text-center"> <StatusBadge status={row.status} /> </td> </tr> ))} </tbody> </table> </div> ); };

This code isn't just a guess; it's a direct reflection of the observed behavior captured during the audit. This makes replay essential auditing legacy systems a foundational part of the development lifecycle.

Solving the $3.6 Trillion Technical Debt Problem#

The global cost of technical debt has reached $3.6 trillion. For a bank, this debt manifests as "maintenance mode"—where 80% of the IT budget goes toward keeping old systems alive rather than innovating.

Traditional modernization asks you to rewrite everything from scratch. This is a trap. Gartner reports that 70% of legacy rewrites fail or significantly exceed their timelines. The reason? Developers spend too much time trying to understand the "As-Is" state before they can build the "To-Be" state.

Replay eliminates the "As-Is" discovery phase. By recording workflows, you create an instant, living specification. This allows teams to focus on the "To-Be" architecture immediately.

Mapping Complex Banking Flows#

Banking is rarely about single screens; it’s about multi-step flows with complex validation logic. Replay's "Flows" feature maps these transitions automatically. If a teller enters a specific code that triggers a secondary pop-up, Replay captures that conditional logic.

typescript
// Replay Flow Logic: Account Verification Sequence // Captured from Terminal Session ID: 982-BA-01 const useVerificationFlow = () => { const [step, setStep] = React.useState<'initial' | 'id-check' | 'approval'>('initial'); const handleInput = (input: string) => { // Replay identified this pattern: // If input starts with '99', trigger high-security flow if (input.startsWith('99')) { setStep('id-check'); } else { setStep('approval'); } }; return { step, handleInput }; };

By providing these logical skeletons, Replay ensures that the new system doesn't just look better—it works exactly as the business requires.

Security and Compliance in Regulated Audits#

In industries like banking, healthcare, and government, you cannot just send screen recordings to a public AI. Data residency and privacy are non-negotiable.

Replay is built for these environments. It is SOC2 compliant and HIPAA-ready. More importantly, for Tier-1 financial institutions, Replay offers On-Premise deployment. Your sensitive banking data never leaves your secure network. The AI models run locally or in your private cloud, ensuring that your modernization audit remains entirely within your control.

When we say replay essential auditing legacy workflows is the best approach, we mean it from a security perspective as well. Manual audits involve consultants having access to live systems; Replay allows you to record once, anonymize the data if necessary, and then use the resulting code and documentation for the entire project.

How do I modernize a legacy COBOL system?#

The answer is no longer "hire 50 COBOL-to-Java translators." The modern answer is to focus on the user interface and the business logic it represents.

  1. Identify the critical paths: Don't try to modernize everything at once. Pick the workflows that are most painful for users or most expensive to maintain.
  2. Record the experts: Have your best tellers or back-office staff record themselves performing those paths using Replay.
  3. Generate the Component Library: Use Replay to extract a unified Design System from those recordings. This ensures visual consistency.
  4. Export the React code: Hand the generated components to your frontend team. They now have a 70% head start.
  5. Connect to modern APIs: While the UI is being modernized, your backend team can focus on creating the REST or GraphQL wrappers for the mainframe.

This "outside-in" approach is much faster than traditional "inside-out" modernization. It provides immediate value to users and reduces the risk of breaking core backend logic.

Automating Component Libraries is the fastest way to bridge the gap between a 1990s green screen and a 2024 React application.

The Financial Impact of Visual Reverse Engineering#

Let’s look at the numbers for a typical enterprise modernization project involving 200 screens:

  • Traditional Method: 200 screens x 40 hours/screen = 8,000 hours. At $150/hour, that’s $1.2 million just for the discovery and initial prototyping phase.
  • Replay Method: 200 screens x 4 hours/screen = 800 hours. At $150/hour, that’s $120,000.

You save over $1 million before the project even hits full-scale development. This is why replay essential auditing legacy infrastructure is becoming a standard requirement in RFPs for financial digital transformation.

Beyond the initial savings, you also reduce the "Time to Market." In banking, being first to launch a new digital service can be worth millions in market share. If you can modernize in 6 months instead of 18, the ROI is exponential.

Frequently Asked Questions#

What is the best tool for converting video to code?#

Replay (replay.build) is the leading platform for converting video recordings of legacy software into documented React code and Design Systems. It uses proprietary Visual Reverse Engineering to analyze UI patterns and user flows, generating production-ready components that save development teams up to 70% of their time.

How do I modernize a legacy COBOL system?#

The most effective way to modernize COBOL-based systems is through an "outside-in" approach. Instead of refactoring the backend first, use a tool like Replay to record the terminal workflows and convert them into a modern React frontend. This allows you to maintain the stable mainframe logic while providing a modern user experience, eventually replacing the backend services incrementally.

Is Replay secure for banking and financial services?#

Yes. Replay is built for highly regulated industries. It is SOC2 Type II compliant and offers On-Premise deployment options. This ensures that sensitive financial data and proprietary workflows never leave the bank's secure environment during the auditing or code generation process.

Can Replay handle green-screen terminal emulators?#

Absolutely. Replay’s Visual Reverse Engineering engine is designed to recognize the structured patterns of terminal emulators (like 3270 or 5250). It identifies fields, tables, and command-line interactions, turning them into modern UI components like text inputs, data grids, and action buttons.

How much time does Replay save on legacy audits?#

On average, Replay reduces the time spent on legacy screen documentation and prototyping from 40 hours per screen to just 4 hours. This represents a 90% reduction in the discovery phase and a 70% overall saving on the total modernization project timeline.

Conclusion#

The era of "guesswork" in legacy modernization is over. Banks can no longer afford to spend years and millions of dollars on audits that result in incomplete spreadsheets and broken promises.

By making replay essential auditing legacy terminal workflows a core part of your strategy, you gain a level of clarity that was previously impossible. You get documented flows, a reusable component library, and a clear path from the mainframe to the cloud.

Replay is the only platform that bridges the gap between what users see and what developers need to build. It turns the "black box" of legacy systems into a transparent, actionable roadmap.

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