ServicesAI on legacy systems

AI on the systems you already run.

AI integration with legacy systems: production AI on the on-prem ERP, mainframe, and twenty-year-old homegrown apps your business depends on. In your cloud, on your existing stack. Start with Verdo Sequence, a map developed in about four weeks, not a multiyear modernization commitment.

The barrier

Legacy integration doesn't always mean modernization first.

Integration is a real constraint, but it doesn't automatically require replacing the core. Verdo assesses specific use cases to identify useful AI work that can begin on your existing systems and the preparation it needs.

THE ALTERNATIVE

Keep the core, build around it

Keep useful systems of record running and build the intelligence around them, where the data, access, and controls support it.

  1. 01 · About four weeks

    Sequence the stack

    Verdo Sequence maps how work actually flows through your systems. For each legacy use case, we assess four constraints that determine what can be built now:

    1. 01Data quality
    2. 02Real-time access
    3. 03Security and compliance
    4. 04Undocumented logic

    In about four weeks, you get a roadmap ranked by impact, effort and risk through the Sequence platform. It shows what each build needs, the order of potential system retirements and work to defer.

  2. 02 · Starting the build

    Wrap the core

    Builds can start in week five when the roadmap's requirements are met. We add API layers around the ERP and answers from existing data within current workflows. Systems of record keep running, with the six-week Adoption Program alongside the build.

  3. 03

    Retire on evidence

    The map shows which systems the business depends on and which could be retired. Retire a system only with supporting evidence and a planned transition that keeps the business running.

    And sometimes the honest answer is that AI isn't the right tool for a problem yet. When that's true, the roadmap says so.

Book Your Verdo Sequence

FAQ

Legacy systems questions.

We run SAP ECC / Oracle EBS / a mainframe. Can we realistically do AI?

Yes, useful AI work can be built around existing systems of record, including ERP and mainframe AI integration. Verdo assesses each use case before building API layers around the ERP or drawing answers from existing data, with AI working inside current workflows in your cloud.

Don't we need to clean up all our data before AI?

No. Start with the data needed for the use cases you pursue first, including any shared dependencies. The roadmap identifies the preparation each use case needs before build.

Will Verdo make us migrate to a specific cloud or AI model?

No. Verdo is vendor-independent and model-agnostic. We build in your cloud and design the model layer to be replaceable, choosing technology for its fit with your systems and requirements.

How does AI work with regulated or compliance-sensitive legacy data?

Verdo builds inside your security perimeter with scoped permissions, audit trails, and human review of consequential decisions. Security and compliance requirements are assessed for each use case and shape what can be deployed.

What if AI genuinely isn't viable for part of our operation?

Then the roadmap says so, with the reason. Being told "not this, not yet" is part of what you pay for.