Software Modernization

01 · Software modernisation

From outdated systems to modern, secure, and AI-ready platforms.

Most legacy systems do not fail all at once. First they slow development, raise running costs, and build security and NIS2 exposure. A detailed assessment shows where modernisation is worthwhile, what delivers quick business results, and how an AI-ready architecture can be built without interrupting day-to-day operations.

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NIS2-aware modernisation

Vendor lock-in free

Senior architect led

Risks

Roadmap

Dependencies

Findings

4 identified

Unsupported framework

High

Security exposure

Critical

Supplier dependency

medium

Integration bottlenecks

High

A legacy system is not just a technology problem but a serious business risk

Most modernisation projects do not begin with a new system. They begin when current operations have become too slow, too costly and, above all, too risky.

Exposure to security threats

Security updates months behind and unsupported components.

Critical

Supplier dependency

System operation depends on a single external developer or a former team member.

Dependency

Integration bottleneck

Every new integration causes regressions and manual workarounds.

Friction

AI-blocking architecture

The current architecture prevents AI use cases from being integrated securely.

Blocker

A decision-ready roadmap and blueprint

The detailed technical assessment maps the system landscape, the technology and security risks, and the quick wins where modernisation can deliver business results even in the short term.

Architecture map

Mapping the current system landscape

Security exposure

Vulnerabilities and NIS2 exposure

Technical debt

Outdated components and dependencies

Quick wins

Short-term, high-impact steps

AI-ready architecture

Where modernisation opens the way to AI integration

Return model (ROI/TCO)

Estimated return and cost

Architecture map

Own

Microsoft

PowerApps

External

04 · The Process

How the assessment works

Kick-off and scope

NDA, business and technology questionnaire, and scoping of the assessment.

Technical assessment

Layer by layer: infrastructure, database and data model, backend and business logic, frontend, integrations, operations.

Stakeholder interviews

Four to five focused interviews: executive and vision, usage, operations, development, QA.

Risk and quality assessment

Scalability, code quality, technical debt, reliability, security and maintainability, with scoring and risk analysis.

Report and recommendation

A high-level system design, technology and operations recommendations, plus an overall verdict and cost estimate: refurbishment versus rewrite.

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Modernisation Roadmap

From legacy system to AI-ready platform

A phased approach to reduce risk, accelerate delivery and unlock business value.

ASSESSMENT

Foundation

0 to 1 month

Architectural assessment

Dependency mapping

Technical debt analysis

Security and compliance review

Identifying quick wins

High-level roadmap

Outcome

Assessment report and roadmap outline

STABILISATION

Risk reduction

1 to 3 months

Stabilising critical systems

Increasing test coverage

Strengthening security

Reducing operational risk

Addressing high-impact defects

Preparing for migration

Outcome

Stabilisation report and action list

MIGRATION

Core modernisation

3 to 9 months

Transition to the target architecture

Move to the cloud (Azure)

Modernising the data layer

Optimising user workflows

API-first integration

Setting up CI/CD

Outcome

Modernised platform and migration report

AI ADOPTION

Value creation

9 to 12+ months

AI in core processes

Automating manual processes

Introducing advanced analytics

Personalised customer experience

Establishing AI governance

Measuring and optimising value

Outcome

Deployed AI capabilities and a business results report

BUSINESS BENEFITS

Lower risk, better compliance

Faster development cycles

Lower TCO (30–50%)

Less dependency on key people

AI efficiency and innovation

05 · Quick Wins

Let us identify the opportunities that can deliver results in a short time

Authentication modernisation

↓ 42% support tickets

API consolidation

3 legacy systems retired

Reporting automation

8 hours / week saved

AI-assisted documentation

Faster onboarding

Cloud optimisation

Lower overhead

Reducing supplier dependency

Less lock-in

Our senior architects lead the consultation

Architects who work daily on international enterprise modernisation projects, not sales coordinators.

Péter Szilágyi

Senior Enterprise Architect

15+ years of experience

Legacy modernisation

Cloud migration

Security architecture

AI-ready systems

András Leskó

Modernisation Lead

10+ years of experience

System consolidation

Enterprise delivery

Regulated environments

AI-ready systems

Zoltán Rak

Senior Enterprise Architect

Over 20 years of experience

Modernizing Legacy Systems

Cloud-Native Architectures

KI-Supported Development

DevOps and Infrastructure as Code

Attila Tóth

Managing Director, Gloster GmbH

Over 20 years of experience

Software Development

Project Management

Legacy Modernization

Implementation of Enterprise Projects

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For mid-sized and large organisations where IT efficiency already affects competitiveness directly.

Technological risk is slowing growth.

“

Competitiveness and growth

Legacy dependencies are blocking modernisation.

“

Architecture and technical debt

The IT budget is growing faster than the value delivered.

“

Cost efficiency and ROI

Enterprise modernisation without the AI hype.

Gloster was modernising enterprise systems long before the AI wave. Today’s workflow and AI tools accelerate that delivery model, they do not replace it.

Enterprise delivery experience

NIS2-aware modernisation

A vendor lock-in free approach

Senior architect led planning

International delivery

TIER2 supplier qualification

15+

years of enterprise delivery

100+

enterprise systems

NIS2

aware modernisation

The first step is a fit-check. Then a detailed Tech Due Diligence.

First we scope, then we assess, with a decision-ready plan and cost estimate.

Fit-check (free)

Best for: the first step, scoping the assessment

A 1 to 2 hour consultation

A structured questionnaire (business and technology)

Scoping the codebase and the assessment

No commitment

Free · proposal for the assessment within 1 week

Request a fit-check call

Tech Due Diligence

Best for: strategic modernisation planning

A full technical assessment (architecture, data model, backend, frontend, integrations, operations)

Code quality and technical debt analysis

Mapping of core security risks and NIS2 relevance.

Risk and quality assessment with scoring

A high-level system design with technology and operations recommendations

ROI/TCO estimate and an overall verdict: refurbishment versus rewrite

1 to 4 weeks · Bespoke proposal

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Let's modernise the system without interrupting business operations.

The High Level Audit helps identify which systems pose genuine technological and business risks.

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Common questions before modernisation.

Do we need a full rewrite?

Not necessarily. In many cases a gradual modernisation, building on the existing system, achieves significant results.

What happens after the audit?

You receive a prioritised modernisation roadmap and a decision-support document. Delivery can be carried out with us, with an internal team or with another vendor.

Is the roadmap free of vendor lock-in?

Yes. The deliverable is a decision-support roadmap, not a Gloster-specific implementation document.

How much internal resource does it require?

Typically 6 to 10 hours of stakeholder interviews and documentation review from your own team.

Can you work with older technologies?

Yes. Our architects regularly work with legacy stacks, unsupported frameworks and custom integrations.

How secure is the audit?

An NDA is signed up front, and the audit is based on read-only discovery. We do not touch live systems without permission.

Can you work in an on-prem environment?

Yes. We work in on-premise, hybrid and cloud environments alike, adapting to the existing operating model.

How do you prioritise?

By business impact, implementation complexity and risk exposure. The quick wins sit at the intersection of high impact and low risk.

What does AI-ready modernisation mean?

An architecture where AI use cases can be integrated securely and under governance: clean APIs, accessible data, auditable processes.