Product
Software modernization

ExMigratorAI

Turn your GeneXus application into a product that is easier to evolve.

In 2 to 4 weeks, we identify what is slowing the evolution of your GeneXus application down, which technical dependencies are still shaping it, and what the safest first modernization move would be without a risky rewrite.

The challenge

The problem is not that GeneXus stops working. The problem is that evolving the application can keep costing more.

Problem

Migrating without evidence

Over time, many GeneXus applications accumulate objects, configuration, and operating know-how that still support the business, but make every important change slower. The system holds. The cost of moving it does not stay flat.

  • xMeaningful changes keep depending on the same small group of people who know the KB
  • xGenerating, building, validating, and deploying can take longer than the business can tolerate
  • xHiring GeneXus talent is often harder than adding Java, .NET, web, or DevOps profiles
  • xLicenses, the IDE, GXServer, and GeneXus execution components still shape how the product can evolve
  • xLeadership wants to modernize, but still lacks enough evidence to decide where to start

Solution

ExMigratorAI turns that uncertainty into a clearer, more defensible decision.

We deliver an executive and technical readout that shows where the real cost of staying the same sits, how viable it is to compile outside the GeneXus IDE, and which modules should move first to recover speed without putting operations at risk.

Outcome

  • +See which parts make sense to modernize first
  • +Locate the modules, integrations, and artifacts slowing change down the most
  • +Measure whether the application can start building without opening GeneXus
  • +Find real opportunities to lower licensing pressure and reliance on scarce profiles
  • +Build a phased plan that moves forward without breaking operations

Context and decision

Before talking about migration, frame the cost of staying the same

Your GeneXus application may still be working. What may be getting outdated is the way you evolve it.

What the business gains

More speed to change, less pressure on scarce talent, and a stronger base for AI.

The conversation does not start with a rewrite. It starts with recovering the ability to change: lowering licensing friction, opening room for broader engineering teams, and moving the application closer to real code where Git, automated tests, and AI assistants can actually help.
Relevant proof

Eximus has already supported real GeneXus modernization efforts.

ITSARC helps ground what a staged modernization effort can look like when scope is clear and technical priorities are explicit.
The case shows how to reduce risk, prioritize fronts, and move step by step without forcing a full transformation on day one.
Licensing

Fewer product decisions shaped by proprietary tooling.

The diagnostic helps show which part of operating cost really comes from licenses, runtime, and the current delivery flow.

Talent

More room to add profiles that are easier to find today.

Opening a route toward native code reduces the pressure of always depending on the same few people or on a narrower hiring market.

Speed + AI

More changes possible on code that modern tools can actually understand.

AI helps more when it can read, compare, test, and propose on clear repositories, not on a closed flow that is hard to automate.

Before / After

It is not only the technology that changes. It is the business’s ability to move.

Before

Changes still dependent on specific experts and long validation loops.

Deployments and builds with more manual steps than the business wants.

Licensing and the current ecosystem weighing on each technical decision.

AI useful around the edges, but far from the real code carrying the product.

After

A prioritized route to move the areas that hurt most and free the most capacity first.

More room to compile outside the GeneXus IDE, version cleanly, and automate more.

A stronger basis to reduce licensing pressure and widen the available talent pool.

A better starting point for AI on real code, tests, and useful documentation.

Full route

From assessment to evolutionary maintenance

ExMigratorAI does not stop at a report. It is the entry point to assess, modernize in stages, and support product evolution with Eximus.

01Entry point

Independence assessment

We measure GeneXus dependency, risks, and critical modules.

02Validation

Compilation outside the IDE

We validate what is missing to prepare the application outside the traditional flow.

03Modernization

Progressive migration

We prioritize modules and dependencies to move forward in stages.

04Continuity

Evolutionary maintenance with Eximus

We support evolution with Git, testing, automation, documentation, and AI assistants.

When to evaluate this

Signals that GeneXus is already slowing business evolution down.

This is not about abandoning a technology because it is fashionable. It is about recognizing when the current model starts affecting time, cost, talent, and the ability to change.

01

Every change depends on the same few people

When only a handful of experts understand the KB, the organization becomes exposed to bottlenecks, turnover risk, incidents, and dependence on specific vendors.

02

Deployments take too long

If generating, building, validating, and deploying still requires long or overly manual cycles, the business loses speed against teams using stronger automation.

03

Hiring talent has become harder

An application with too much GeneXus dependency limits the number of people who can maintain it. Opening the route toward native code broadens access to Java, .NET, web, DevOps, and QA talent.

04

Licensing and proprietary components weigh more on the roadmap

When the cost of tools, runtime, servers, or specialists shapes more decisions every year, it makes sense to measure how viable it is to reduce that burden progressively.

05

AI cannot help as much as it should

AI assistants work best when a product lives in clear, versioned, tested, and documented source code. ExMigratorAI helps prepare that path.

How it works

In 2 to 4 weeks, we turn your GeneXus application into a clear decision.

We do not start by rewriting code. We first understand what you have, what is slowing evolution down, and how viable a safe modernization route really is.

01Included in this step

We review your GeneXus application

We take the KB, generated sources, libraries, configuration, and operating context to understand how the system is actually built.

GeneXus KB and objectsGenerated Java or C# sourcesLibraries, configuration, and critical modules
02Included in this step

We measure how much the current ecosystem is slowing it down

We identify dependency on the IDE, GXServer, runtime, user controls, patterns, libraries, and specialized know-how.

Dependency by moduleCritical areas in the applicationModernization risks
03Included in this step

We test whether it can be compiled outside the GeneXus IDE

We evaluate whether the application can begin compiling outside the GeneXus IDE and what technical blockers appear.

Technical build proofErrors and missing dependenciesPrioritized blockers
04Included in this step

We deliver a phased route

We close with a clear recommendation: what should happen first, what should wait, and what impact it could have on cost, time, and maintainability.

Clear traffic lightPhased planInitial business case

What you get

A clear basis to decide whether to stay put, modernize in phases, or prepare an exit path.

We do not deliver only a technical report. We deliver an executive and actionable view of the cost of staying the same and the realistic path to modernize with less friction.

01

GeneXus dependency traffic light

A simple leadership view of the application's remaining dependency on the IDE, GXServer, GeneXus execution components, libraries, and specialized knowledge.

02

Critical module map

Shows which parts concentrate the most risk, operating friction, or modernization effort.

03

Compile-outside-the-GeneXus-IDE proof

We evaluate how close the application is to compiling outside the GeneXus IDE and what technical blockers are still in the way.

04

Blocker replacement list

We identify libraries, custom controls, patterns, or components that could be kept, isolated, replaced, or rewritten.

05

Phased plan

We prioritize first modules, risks, and opportunities so progress does not require a big-bang migration.

06

Initial business case

We show where impact may appear in development speed, licensing, available talent, deployments, and AI on real code.

What we review

We do not only review code. We review how feasible modernization is without affecting operations.

The recommendation does not come from looking at the KB in isolation. It combines technical evidence, operating model, licensing, deployments, and the real conditions required to move the application responsibly.

Assessment base

01Knowledge Base, generated sources, libraries, configuration, and related artifacts
02Context on critical modules, integrations, and operating dependencies
03Work in an isolated environment without modifying the client’s original sources

What gets evaluated

Dependency on the IDEDependency on GXServerDependency on the runtimeWhat is still missing to compile outside the GeneXus IDEDependencies replaceable with open librariesComplexity by module

Initial offer

Start with a GeneXus Independence Assessment.

It fits organizations that need to know whether this conversation should move now and what the safest first move could be.

01

2 to 4 week diagnostic

Delivers an initial read of dependency, viability, risk, and sequence before committing to a larger transformation.

02

Executive + technical framing

The output gives leadership useful evidence while still giving architecture and delivery teams enough depth to debate the next step seriously.

03

Phased route

It does not force a big-bang migration. It organizes first moves, priority modules, and a more defensible progressive sequence.

FAQ

Common product questions

No. GeneXus still works for many organizations. The diagnostic exists precisely to measure whether, in your case, the current model still makes sense or is already slowing speed, governance, and evolution down.

Next step

Find out what it costs to keep developing the old way

In 2 to 4 weeks, we show what is slowing your application’s evolution down, where there is room to reduce licensing pressure, and what safe first move you can make without a risky rewrite.

Lower licensingMore speedMore talentAI on code