AI-assisted analysis and refactoring. Move to cloud without the risk. Shorter timelines. Lower cost. We keep your systems running while modernizing underneath, your business keeps going, your architecture improves.
Monolith. No separation of concerns. Dependencies everywhere. Nobody wants to touch it because touching it breaks something. But your new AI features can't run on legacy architecture, and every quarter you wait, the gap to your AI-native competitors widens. You're stuck. Migrating is risky. One mistake and you're down. Doing nothing is riskier.
We don't ask you to bet the company on a switchover weekend. We migrate one service at a time, run old and new in parallel, and shift traffic gradually. AI accelerates the analysis and refactoring. Humans make the decisions. You see results in months, not years, without an outage to explain to the board.
Each step has its own deliverable. Each step is reversible. You stay in control of pace, and you can pause between any two phases if priorities shift.
AI code-analysis tools map your system's true structure, every dependency, every dead path, every implicit contract that nobody documented. We discover what your codebase actually does, not what the wiki says it does.
We sequence the migration around business risk, the boring services move first, the load-bearing ones move with the most preparation. One service at a time, in the order that compounds.
AI suggests refactorings at scale, extract this module, split this class, replace this dependency. Humans verify every meaningful change. The AI is a draft, the engineer is the editor, the reviewer owns the merge.
Old and new systems run side by side. Traffic shifts gradually, 1%, 10%, 50%, 100%, with shadow comparisons at each step. If anything diverges, we roll back instantly. Users notice nothing.
Once every consumer is on the new system and the metrics are clean, the legacy stack is retired. The savings, infrastructure, license, maintenance hours, flow back to the AI program that started this in the first place.
Most engagements are a blend, a monolith moving to microservices on its way to the cloud, or an on-prem ERP getting wrapped in event-driven APIs. We start with whichever transition unblocks your AI roadmap fastest.
Strangle the monolith one bounded context at a time. Each new service ships with its own data, its own deploy pipeline, and its own SLO.
Lift, reshape, and land, not a naive lift-and-shift. We re-platform what benefits from cloud primitives and leave the rest where it belongs.
Escape vendor lock-in on databases, queues, and middleware. Our AI tooling rewrites the integration layer; humans validate behaviour against the legacy contract.
Replace brittle request/response chains with events and queues. Your systems decouple, your AI agents finally have a substrate they can subscribe to.
We draw the line on day one. AI is leverage on the routine work, humans own every decision that touches risk, data, or downtime.
We thought it would take two years and a feature freeze. EIS shipped the first new service in eight weeks, parallel-ran the whole way, and we never had a customer-visible outage. The AI roadmap unblocked itself.
CTO · ASEAN financial services · 12-month modernization
What IT leaders ask before they commit, and what we answer.
Schedule a 30-minute modernization assessment. We'll map your highest-risk dependencies, the fastest path to cloud, and where AI fits in the refactor, for your stack.