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What is legacy modernization?

Turning outdated systems into a governed, AI-ready foundation.

Legacy modernization upgrades old, expensive, hard-to-change systems into a governed, AI-ready foundation — not a lift-and-shift, but the capture of the business logic and architecture trapped in the estate.

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Trusted by enterprise modernization teams

  • Belcorp
  • Senao Wireless
  • Elevance Health
  • Guardant Health
  • LTM
  • Revinci

Lift-and-shift isn't modernization.

Moving workloads to the cloud rarely touches the real problem: business rules and architecture trapped in undocumented code, rediscovered from scratch by every new team. AI coding tools don't fix this either — without context and guardrails, changes drift from the target architecture and burn tokens re-deriving what was already known.

The modernization process, in six steps.

  1. DiscoverUnderstand applications, data, dependencies, and risk.
  2. DecideChoose the right modernization path for each application.
  3. DesignDefine the target architecture and guardrails.
  4. PreserveProtect business logic, data integrity, and user outcomes.
  5. ModernizeApply AI-assisted transformation with human oversight.
  6. ScaleValidate, industrialize proven patterns, and decommission legacy systems.

Four strategies, one platform.

The right choice depends on the system's condition, the budget, and the risk tolerance — Forge supports all four.

  • Rehost

    Lift and shift to new infrastructure, minimal code change.

  • Refactor

    Code modified for performance, scalability, and cloud-native fit.

  • Replatform

    A move to a modern platform with selective architectural updates.

  • Rebuild

    A full rewrite, when the old design can no longer carry the business forward.

Common modernization paths.

Three of the most common routes through the estate. Each has its own scoring, sequencing, and Work Order pattern.

More modernization paths

Mainframe to cloud-native.NET Framework to .NETJava 8 to Java 21WebSphere to Spring BootOracle to PostgresSQL Server to PostgresTeradata to DatabricksOn-prem Hadoop to cloudDB2 to Postgres — and paths not listed here.

How Forge helps

Forge is the software factory built for this.

Legacy logic and architecture, captured as governed Living Specs and turned into execution-ready Work Orders for people and AI agents alike — with guardrails checked before code is generated, not audited after.

See the full Modernization hub

Case studies.

  • Senao Wireless

    Challenge
    Cloud-to-on-prem Kubernetes conversion.
    Solution
    Delivered a working build in one week.

    7 months → 1 week · ~$350K saved

  • Belcorp

    Challenge
    Legacy systems, data pipelines, ML and analytics.
    Solution
    Cleared its Day-0 target.

    2–6 weeks → ~1 hour average

  • Elevance Health

    Challenge
    Enterprise program artifacts.
    Solution
    Produced the full artifact stack in one day.

    3 weeks → 6 hours · 80–85% accuracy

Their Forge copy sheet calls the third account a health payer and names nobody

Frequently asked questions.

  • Is lift-and-shift enough?

    Usually not. Moving workloads to new infrastructure can cut hosting costs, but it leaves the business rules, dependencies, and architecture trapped in the old code untouched.

  • Does Forge replace our engineering team?

    No. Forge works with the tools, platforms, assistants, clouds, and partners you already use — it adds context, specs, and guardrails to what your team and AI agents already do.

  • How is this different from a coding assistant?

    Forge goes beyond generating code. It captures enterprise context as Living Specs, turns that into governed Work Orders, and enforces guardrails before code is generated — not just faster typing.

Two people at work on code, seen from behind their monitors.

See what's hiding in your legacy estate.

We map the dependencies and business rules in one application, scope the modernization roadmap, and hand back the specs.

Book a modernization assessment