Modernize + AI

Rebuild critical systems faster, with AI built into what comes next.

VBT modernizes the platforms, data, integrations, and experiences your business depends on, using AI-accelerated engineering to move faster while creating a foundation for AI-enabled work and customer experiences.

Modernize what matters first. Deliver value in phases. Keep the business running throughout the change.

The problem

Legacy systems do more than slow down technology. They slow down the business.

Critical platforms often accumulate years of custom logic, fragmented data, brittle integrations, manual workarounds, and user experiences that no longer match how the business operates.

The result is not only technical debt. Product improvements take longer, employees spend more time connecting systems manually, customers receive weaker experiences, and new AI capabilities become difficult or risky to introduce.

VBT modernizes the parts of the system creating the greatest business constraint, while protecting the operations, data, and institutional knowledge the company cannot afford to lose.

Current state

  • Slow and risky releases
  • Fragmented data
  • Brittle integrations
  • Manual workarounds
  • Outdated experiences
  • Limited path to AI
Modernize with purpose

Future state

  • Faster delivery
  • Accessible, usable data
  • Connected systems
  • Streamlined operations
  • Modern experiences
  • AI-ready architecture

Why Modernize + AI

Use AI to rebuild faster. Rebuild so AI can create value afterward.

Traditional modernization focuses on replacing aging technology. Modernize + AI improves both how the new platform is built and what the resulting platform can enable.

AI-accelerated modernization

Build the new system faster and more efficiently.

VBT uses modern AI engineering tools and practices to accelerate discovery, code analysis, documentation, development, testing, migration, and quality assurance.

This allows teams to understand legacy systems more quickly, reduce repetitive engineering effort, and deliver working capabilities in smaller, safer phases.

AI-ready by design

Create a platform ready for intelligent capabilities.

The modernized system is designed around accessible data, clear interfaces, reusable services, secure integrations, and workflows that can support AI-enabled operations and customer experiences.

AI is not added as a disconnected feature at the end. The platform is rebuilt so new capabilities can be introduced responsibly over time.

The goal is not simply to come out current. It is to come out ahead.

Where we help

Modernize the systems standing between the business and what comes next.

Modernization can begin with a complete platform, but it often starts with one critical capability, workflow, experience, or layer of the architecture.

Core business platforms

Rebuild the systems that run essential operations, transactions, services, and industry-specific processes.

Customer and partner portals

Replace outdated digital experiences with faster, clearer, self-service tools connected to real operational data.

Internal applications

Modernize the tools employees use to manage work, make decisions, serve customers, and coordinate across teams.

Data and reporting

Improve how data is structured, accessed, governed, analyzed, and presented to the people and systems that need it.

Integrations and APIs

Replace brittle point-to-point connections with reliable interfaces that support current operations and future capabilities.

Operational workflows

Reduce manual workarounds and redesign how people, systems, information, and approvals move through the business.

Architecture and infrastructure

Create a secure, scalable technical foundation that is easier to release, maintain, monitor, and evolve.

AI-enabled capabilities

Add intelligent search, summarization, recommendations, automation, assistance, or analysis where it creates real value.

A practical path forward

Do not wait years to see whether the modernization worked.

Large replacement programs often create years of cost and risk before the business receives meaningful value.

VBT breaks modernization into focused phases that can launch independently, reduce risk, and prove the case for continued investment.

Start with the constraint

Identify the part of the platform creating the greatest business, customer, or technical limitation.

Deliver value in phases

Launch useful capabilities throughout the modernization rather than waiting for the entire system to be replaced.

Protect business continuity

Use parallel runs, staged migration, testing, and careful cutovers to keep critical operations working throughout the transition.

Retire risk deliberately

Move data, users, workflows, and functionality in a controlled sequence instead of creating one high-risk launch event.

How we work

From legacy constraint to continuously evolving platform.

  1. Understand

    Examine the business processes, users, architecture, data, integrations, risks, and institutional knowledge embedded in the current system.

  2. Define the destination

    Establish the future operating experience, technical architecture, AI opportunities, and measurable business outcomes.

  3. Prioritize

    Choose the first modernization slice based on business value, technical dependency, risk reduction, and the ability to launch independently.

  4. Build and migrate

    Develop the modern platform in phases, connect the necessary systems, migrate data carefully, and validate each release against real operations.

  5. Launch without disruption

    Introduce new capabilities through staged rollouts, parallel operation, training, and controlled transitions.

  6. Evolve

    Continue improving the platform, retiring legacy components, and adding AI-enabled workflows and experiences as new opportunities emerge.

A better way to modernize

AI changes the economics of rebuilding legacy systems.

Modernization has traditionally required large teams to spend significant time understanding old code, recreating documentation, tracing dependencies, writing repetitive components, building tests, and preparing migrations.

VBT uses AI throughout the engineering process to increase speed and coverage while keeping experienced architects and engineers responsible for every important technical decision.

Legacy system analysis

Accelerate the understanding of code, dependencies, business logic, data structures, and undocumented behavior.

Documentation and discovery

Create clearer technical and functional documentation from existing systems, stakeholder knowledge, and observed behavior.

Development acceleration

Reduce repetitive coding effort and help engineering teams move faster across well-defined components and patterns.

Testing and quality

Expand test coverage, identify edge cases, validate expected behavior, and reduce regression risk throughout the rebuild.

Data and migration support

Assist with mapping, validation, transformation, reconciliation, and the controlled movement of historical data.

Continuous modernization

Make the resulting platform easier to understand, maintain, improve, and extend after the initial transformation.

AI accelerates the work. Senior VBT engineers remain accountable for architecture, security, quality, and production readiness.

Ready for what comes next

AI capabilities depend on the foundation beneath them.

A company cannot reliably add intelligent capabilities when important data is inaccessible, system behavior is unclear, integrations are fragile, or business rules exist only in people’s heads.

Modernize + AI creates the technical and operational conditions needed to introduce AI safely and effectively.

Accessible data

Make trusted information available through well-structured systems, services, and permission-aware access.

Clear interfaces

Create APIs and reusable services that allow systems, applications, and AI capabilities to work together reliably.

Visible business logic

Move important rules and decisions out of hidden workarounds and into systems that can be understood, tested, and improved.

Modern user experiences

Design interfaces that can support assistance, recommendations, automation, and human review without forcing AI into the experience.

Secure operating controls

Establish permissions, monitoring, auditability, and governance appropriate for production AI use.

One integrated modernization team

Business understanding, product design, architecture, and engineering together.

Modernization fails when it becomes a technical rewrite disconnected from the people, workflows, customers, and economics the system exists to support.

VBT brings the disciplines required to rebuild the technology while improving the business experience around it.

Business and product strategy

Connect modernization priorities to growth, operational improvement, customer value, and measurable business outcomes.

Experience and workflow design

Redesign the customer and employee experiences supported by the platform rather than reproducing outdated processes in new technology.

Architecture and data

Create scalable system boundaries, integrations, data models, services, and controls that can evolve over time.

AI and software engineering

Use AI-accelerated development and experienced engineering leadership to build secure, reliable production systems.

Migration and adoption

Protect continuity, move users and data carefully, support adoption, and retire legacy components without unnecessary disruption.

Modern systems. Scalable AI-enabled work.

Modernization creates the foundation. TrackFrame helps activate it.

Not every modernization engagement requires TrackFrame. The immediate priority is rebuilding the systems and experiences creating the greatest constraint.

When the modernized platform will support multiple AI-enabled workflows, TrackFrame™ can provide reusable orchestration, business context, permissions, approvals, evaluations, monitoring, and operational visibility across them.

Modernize + AI makes critical systems ready. TrackFrame helps the business build and scale intelligent work on top of that foundation.

Explore TrackFrame™

What changes

Come out faster, more capable, and ready to evolve.

Faster releases

Reduce the time and risk required to improve the platform, introduce features, and respond to business needs.

Better operations

Remove manual workarounds, improve coordination, and give teams more reliable systems for completing critical work.

Stronger customer experiences

Create faster, clearer, more useful digital experiences connected directly to the services and information customers need.

Accessible data

Make trusted operational information easier to use for reporting, decision-making, automation, and AI.

Lower technical drag

Reduce brittle dependencies, recurring maintenance problems, release risk, and the cost of working around outdated architecture.

A practical path to AI

Create the data, services, workflows, experiences, and controls required to add intelligent capabilities over time.

Modernize what matters first

Build the platform your business needs next.

You do not need to replace every legacy system at once.

VBT can help identify the constraint creating the greatest business impact, define a phased modernization path, and determine where AI can accelerate the rebuild or create value in the resulting platform.