Your Legacy Systems Aren't Dead.
They Just Need AI.
That COBOL core banking system? The AS/400 running your settlements? They still work — they just can't learn, predict, or adapt. We add an AI layer on top of your legacy stack so you get modern intelligence without the risk and cost of a full rewrite.
Data Extraction Layer
API Wrapper Coverage
AI Model Integration
User Interface Overlay
Where Legacy Meets AI
Real modernization scenarios — not PowerPoint fantasies.
Core Banking Intelligence
Add fraud detection, customer segmentation, and product recommendation on top of your existing core banking system.
BankingMainframe Data Unlocking
Extract and structure data trapped in mainframe screens and flat files so AI models can actually use it.
Financial ServicesAPI Wrapping for Legacy
Create modern REST APIs around legacy systems so new applications and AI services can communicate with them.
InsuranceScreen Scraping Intelligence
When there's no API and no database access — AI reads screens, inputs data, and extracts results just like a human would.
Government BankingLegacy Report Modernization
Transform static green-screen reports into interactive dashboards with predictive analytics overlays.
Credit UnionsHow We Bridge Old and New
Technical capabilities for making legacy systems AI-ready without touching their code.
API Abstraction Layer
Expose legacy functionality through modern APIs — REST, GraphQL, or event-driven — without modifying source code.
Change Data Capture
Stream real-time data from legacy databases into modern data lakes for AI model training and inference.
AI Sidecar Architecture
Deploy AI models alongside legacy systems — they consume legacy data and inject intelligence without coupling.
Intelligent RPA Bridge
For systems with no API: robotic process automation handles the UI interaction while AI handles the decision-making.
Non-Invasive Monitoring
Track legacy system health, performance, and data quality without installing agents on production servers.
Incremental Migration Path
Every AI enablement we build creates a pathway to eventual modernization — but on your timeline, not ours.
Modernize Without the Meltdown
Legacy System Assessment
We inventory your systems — technology, data formats, integration points, and business criticality.
Architecture the AI Layer
Design the abstraction layer that will sit between your legacy systems and new AI capabilities.
Build Data Bridges
Create connectors that extract, transform, and stream legacy data without impacting system performance.
Deploy AI Models
Train and deploy models that consume legacy data — fraud detection, predictions, recommendations.
Overlay Modern UX
Optional: build modern web interfaces that sit on top of the AI layer, replacing green-screen interactions.
A full rewrite would take 3 years and $5M.
AI enablement takes 12 weeks and costs a fraction. Same intelligence, zero migration risk.
Book Free ConsultationThe Pragmatic Path to Intelligence
You don't need to replace your legacy systems to compete with digital-native challengers.
Why Enablement Beats Replacement
Full rewrites fail 70% of the time. Legacy AI enablement delivers value incrementally with near-zero risk.
Why OpenMalo for Legacy
We respect legacy systems because we understand why they still run the world.
Get a Legacy AI Assessment
Tell us about your legacy landscape and we'll map out your fastest path to AI capability.
Case Study
Regional Bank Adds AI Fraud Detection to 25-Year-Old Core
A community bank running a COBOL-based core system needed real-time fraud detection but couldn't justify a $4M core replacement. We brought AI to their existing stack.
The Problem
The bank's existing rule-based fraud system caught only 31% of fraudulent transactions and generated 400+ false positives daily.
Our Approach: We built a change data capture layer that streamed transaction data from VSAM files to a modern event bus without touching the COBOL code. An AI fraud model consumed the stream, scored transactions in under 340ms, and pushed alerts to a new web dashboard. False positives dropped 78% while detection accuracy jumped to 87%. The bank went live in 14 weeks with zero core system downtime.
Frequently Asked Questions
No. We never modify legacy source code. Our integration layer connects via database-level connectors, file watchers, screen automation, or message queues — whatever your system supports.
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