Modernize critical legacy applications incrementally, keeping the business running while the new system takes over.
The problem
A critical system runs on an ageing stack. Changes are risky, knowledge is concentrated in a few people, and the system blocks every new initiative.
How it works
Replace ageing systems step by step while the business keeps running.
- AssessWe map what the system does, who relies on it and where the risk is.
- PlanWe define an incremental path, module by module.
- RebuildWe build the new modules alongside the old system.
- MigrateTraffic and data move over gradually, with rollback at each step.
Where people stay in control
- No big-bang cutover
- Rollback is planned for each step
- Data migration is verified
What it connects to
How we deliver legacy software modernization
The same method as every Software Engineering engagement: each stage ends with a decision you sign off. We work with teams in Bengaluru, across India and abroad.
We study the problem with the people who live it: workflow, customers, constraints.
Problem brief agreedWe agree what success means, what is in scope and the hypothesis we are testing.
Scope signed offFlows, interfaces and architecture, tested as a prototype before engineering starts.
Prototype approvedWorking software and artefacts, demonstrated every week.
Features acceptedRelease to real users with documentation, monitoring and a runbook.
Release acceptedWe measure what happened and turn it into the next roadmap.
Roadmap reviewedRelated insights
- Forward deployed engineering, explainedWhat a forward deployed engineer does, why the role matters for AI implementation, and how it differs from consulting, outsourced development and on-site support.
- Build or buy? Deciding on a custom AI agentWhen an off-the-shelf AI tool is enough, when a custom AI agent is worth building, the questions that decide it, and the middle path most good systems end up taking.
Can we modernize without stopping the business?+
Yes. Incremental replacement, where new modules take over one function at a time, avoids a risky single cutover.
Related use cases
CRM and ERP integration
Systems kept in sync automatically, with retries and an audit trail.