Tweezr Joins the European Digital Finance Conference as a Silver Partner

Connecting AI with Legacy Banking Systems

For many banks, decades of business logic remain locked inside legacy platforms. Replacing these systems is costly, risky, and often unnecessary. The real challenge is understanding them well enough to change them safely – and to let AI and new digital services build on them with confidence.

This is where most AI approaches fall short: point a general-purpose model at millions of lines of legacy code and you get answers that look convincing but can’t be trusted, with no way to tell which part is wrong. Tweezr takes a different path. It first analyses the source code deterministically – mapping applications, data flows, dependencies, and business processes into a comprehensive architecture model – and only then applies AI, grounded in those verified facts. Every insight traces back to the original source code, so engineering teams can trust what they see and act on it.

Because security and data residency are non-negotiable in banking, Tweezr can run entirely on-premise, behind the institution’s firewall – analysing code inside the bank’s own environment rather than sending it outside.

Modernising On the Mainframe, Without Replacing Everything

The platform is designed for organisations running large legacy estates, including IBM Z (z/OS), IBM i, and other heritage, mission-critical banking environments.

Tweezr enables banks to:

• Prepare legacy applications for AI agents and modern digital channels.
• Understand complete application architecture and business processes.
• Analyse the full blast radius of a change before it is made.
• Modernise in place through refactoring, encapsulation, and evolution – turning to migration only where it genuinely makes sense.
• Accelerate feature development and incident resolution.

Instead of replacing decades of business logic, banks can preserve valuable knowledge while modernising step by step – keeping their core where it runs best and evolving it safely.

From Legacy to Agentic Banking

Tweezr describes the transformation journey in three practical steps:

1. Map existing programs, business processes, data flows, and dependencies.
2. Adapt applications in place – encapsulating, evolving, and refactoring existing logic – and migrate selectively only where it makes sense.
3. Connect modern APIs, AI agents, and digital channels to existing business logic.

This approach enables banks to move towards an “agentic core banking” environment without discarding decades of proven business functionality.

Delivering Practical Results

Tweezr is already in production inside major banks, where hundreds of engineers rely on it daily across an estate of tens of millions of lines of code spanning multiple languages. According to Tweezr, organisations using the platform have achieved:

• Up to 75% time savings in feature design, reverse engineering, and incident resolution.
• Initial business value within approximately two weeks.
• Continuous analysis of millions of lines of code every day, supporting large-scale banking environments.

Meet Tweezr at the European Digital Finance Conference

Core modernisation, AI readiness, and legacy transformation are among the central themes of the European Digital Finance Conference 2026. Tweezr’s expertise aligns directly with the conference’s Core Modernisation & Architecture agenda, where banks and technology companies will discuss practical approaches to cloud transformation, AI adoption, and the future of banking technology.

Visit the Tweezr stand, attend their presentation, and discover how deterministic system intelligence can help banks modernise legacy platforms while preparing for the next generation of AI-powered banking.

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Learn more about Tweezr at www.tweezr.io