Capabilities / Technology / Application Engineering & Modernization
Application Engineering & Modernization
Modern applications and the legacy modernization that AI programs quietly depend on.
01 — The problem
Legacy modernization is the AI strategy nobody budgets for. Modernizing the right three integrations often matters more than choosing the right model.
Closed systemsCore applications have no clean interfaces for anything new to connect to.
Risky changeThin test coverage makes every release slow and every refactor a gamble.
Lost knowledgeThe people who understood the system have moved on; the documentation never existed.
02 — What we deliver
What we deliver.
01Modernization assessmentA portfolio view of what to retire, rehost, refactor, or rebuild.
02API & integration layerStable interfaces over systems of record that agents and apps can rely on.
03Application re-engineeringIncremental rebuilds that keep the business running throughout.
04Product engineeringCross-functional teams delivering new web, mobile, and internal applications.
05AI-assisted deliveryEngineering practices that use AI for code comprehension, tests, and migration.
06Quality engineeringAutomated testing and release pipelines that make change routine.
03 — Engagement model
01AssessAI readiness assessment and a prioritized value case
02ArchitectReference architecture, data plan, and governance design
03BuildProduction-grade agents, applications, and platforms
04StaffVetted AI and engineering talent or managed delivery pods
05ScaleOperating model, AI Center of Excellence, and run support
05 — Related insights
Agentic AI · 14 Sep 2026Why AI agents stall after the pilot — and what production actually requiresData & Platforms · 18 Jun 2026Data readiness for agentic AI: six questions to answer firstGovernance · 21 Aug 2026Designing an AI governance operating model that does not slow delivery06 — FAQ
We are model- and cloud-agnostic. Most programs run on Azure, AWS, or Google Cloud with OpenAI, Anthropic Claude, or Microsoft Copilot models, selected per use case on cost, latency, and risk.
Application Engineering & Modernization
Modernize what your AI depends on.
Tell us which system everything else is waiting for.