PUBLISHED DATE: 2026-08-06 05:49:20

Enterprise Modernization Challenges and Solutions | Publicis Sapient


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Modernize the Systems Your Business Runs On

Legacy systems raise costs, slow delivery and block AI. Publicis Sapient combines enterprise experts with AI platforms to modernize them without putting live operations at risk.
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The challenge


What makes modernization hard

We've spent decades inside these systems. These are the problems that come up in nearly every enterprise.

Legacy tech can’t keep up with change

Core systems are costly, tightly linked and hard to update. Embedded business logic and technical debt slow every change and raise operational risk.

Operations don’t work as one system

Supply chains, fulfillment, field operations and partner networks still run across disconnected platforms and manual workflows.

Digital can’t move at customer speed

Aging platforms and fragmented delivery models make it harder to improve products, launch services and respond to changing customer needs.

Transformation can’t disrupt the business

Critical systems must keep running while they change. Every modernization plan must protect customers, employees and day-to-day operations.

Every industry requires a different approach to modernization

Industry context isn't a layer we add later. It's what our platforms are built on from day one.


Our legacy modernization solution

Modernization without the risk

Our teams decide what to modernize first and what can't break. Sapient Slingshot reads your legacy code and rebuilds it, so critical logic survives.
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Results from real modernizations


Financial Services

Global Bank Turns Three Million Lines of COBOL Into Specs
Nissan Cuts IT Costs 40% With AI Monitoring
The Problem A large global bank needed to modernize legacy mainframe systems supporting core banking services, spanning 300+ critical batch feeds.
Our Solution Slingshot analyzed nearly three million lines of COBOL to extract hidden business rules and turn them into structured specifications.
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Retail

Major Retailer Cuts Mainframe Modernization Time by 70%
Beauty Brand Cuts Costs, Improves Customer Experience
The Problem The retailer’s mainframe environment had become complex. Critical business logic lived across COBOL, Java, Python and Shell scripts.
Our Solution In a six-week proof of concept, we turned legacy systems into cloud-ready services without losing intent or functionality.
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Latest insights

Explore practical guidance on modernizing legacy systems, reducing risk and building a stronger foundation for AI.

Enterprise modernization FAQS

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What is enterprise modernization?

Enterprise modernization is the work of updating legacy applications, data, infrastructure and delivery practices so the business can change faster, carry less risk and support AI. It covers the systems themselves and the way teams build and run them.

How is modernization different from a system migration?

A migration moves a system to a new environment. Modernization changes the system itself—its architecture, code, data and workflows—while preserving the business logic it still depends on. A migration can leave you with the same constraints in a newer place.

How do you modernize without disrupting operations?

The work starts by mapping dependencies, business rules and live workflows. Teams then modernize in controlled stages, validating each change against how the original system behaves before anything switches over, so critical systems keep running throughout.

Can AI help modernize legacy systems?

Yes. AI can read old code, recover hidden logic, create specifications, generate new code and run tests. Human experts still make the decisions that matter most—what to modernize first, how much risk to accept, and whether the result fits the business.

How do you keep business logic intact?

Slingshot reads legacy code to recover the rules, dependencies and specifications that define how a system behaves, then carries that context through build and test. That reduces reliance on the few experts who remember the original logic and produces traceable documentation that regulators and auditors can review.

How does industry context affect modernization?

Every industry has different rules, systems and failure risks. Industry context determines which logic must be preserved, which regulatory requirements apply and which changes could disrupt critical operations. It is the difference between a technically correct modernization and one the business can actually run on.