Legacy Modernization for AI

Don’t let old systems hold your AI back.

We wrap, refactor or rebuild the outdated platforms your business still depends on, so AI can read their data, use their functions and work with the rest of your stack. Without a risky big-bang replacement.

Before and after Illustrative
TODAY
Green-screen ERP
Flat files · nightly batch
Custom code · no docs
Spreadsheet bridges
No API. AI can’t reach it.
AI-READY
AI agents & copilots
Secure API layer
Orders
Inventory
Pricing
Customers
Cloud data platform
The challenge

Your most important data often lives in your oldest systems.

Decades-old ERPs, custom databases and in-house tools still run orders, inventory and production. They have no APIs, little documentation and fewer people who understand them.

Replacing them outright is expensive and risky. Leaving them alone means AI can’t reach the data that matters most.

Three paths, chosen per system

Modernize only as much as you need to.

Wrap Fastest

API enablement

Keep the system as it is and add a secure API layer so AI and other apps can read and write its data.

Refactor Step by step

Incremental replacement

Move one module at a time to modern services, so the business keeps running throughout.

Rebuild Most change

Rebuild with AI built in

Replace the system with a modern, cloud-ready application, or move to a platform like LogiTrac360.

What we do

Everything it takes to make old systems AI-ready.

System assessment

Map what the system does, its data, its risks and what depends on it.

AI-assisted code analysis

Use AI to read and document old code, so nothing important is lost.

Data migration and cleanup

Move data to modern platforms, cleaned and validated along the way.

API and integration layer

Secure APIs that let AI agents and other systems use legacy functions.

Cloud migration

Move workloads to the cloud where it improves cost, security or scale.

Application rebuilds

Modern web and mobile apps that replace outdated screens and tools.

Parallel running and cutover

Old and new run side by side until results match, then a planned switch.

AI enablement

Once modernized, connect agents, forecasts and copilots to the system.

How it works

Low-risk, step by step, with the business running throughout.

01

Assess

Understand the system, its data and its dependencies.

02

Choose the path

Wrap, refactor or rebuild, based on value, risk and cost.

03

Modernize in stages

Deliver in small releases, each one tested and usable.

04

Run in parallel

Compare old and new until results match.

05

Connect AI

Switch over, then bring agents and analytics online.

What you get
Legacy system assessment and modernization plan
Documentation of existing code and business rules
Secure APIs, migrated data or rebuilt applications
Parallel-run results and a cutover plan
A system ready for AI agents and analytics
Source code and handover to your team
Who it’s for

Manufacturers, distributors and logistics firms running on older ERPs, custom databases or in-house tools that are critical to operations but hard to change.

Systems we modernize
Legacy and on-premise ERPs Custom databases Desktop and green-screen apps Spreadsheet-based processes Batch file interfaces In-house line-of-business tools
FAQ

Common questions

Do we have to replace our ERP to use AI?

Usually not. Often an API layer around the existing system is enough to let AI read and act on its data.

Nobody understands our old code. Can you still help?

Yes. We use AI-assisted analysis to read and document legacy code and business rules before changing anything.

Will operations be disrupted?

We modernize in stages and run old and new systems in parallel, so the switch happens only when results match.

How long does it take?

An API layer can be live in weeks. Larger refactors and rebuilds are planned in phases, each delivering usable results.

Have a system everyone’s afraid to touch?

We’ll assess it and show you the lowest-risk way to make it AI-ready.

Assess a legacy system →
LET'S TALK

Start with an AI readiness conversation.

Tell us what you'd like AI to change in your business. We'll come back with an honest view of where to start — and where not to.

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