Explore our work and reflections by capability and industry: the questions we ask, the approaches we use, and the lessons worth sharing.
Four reflections from our banking modernization work. They describe a delivery approach; measured project results are not reported.
Large modernization programs need to make progress before the entire system is ready to move, while giving business stakeholders enough evidence to decide what to pursue next.
Cloud, AI and Data
Read the reflectionCode can translate successfully while its assumptions do not. Configuration loading, concurrency and dependencies may behave differently in the target runtime, changing how a banking service handles real requests.
Digital Engineering
Read the reflectionLegacy knowledge is scattered across documents, tickets, configuration and people. An AI assistant can produce a convincing answer while missing the business rule that makes it wrong.
Cloud, AI and Data
Read the reflectionA transfer can depend on rules held outside the application. Reading the code alone can miss product eligibility, configuration changes and exceptions known only to experienced colleagues.
Technology Transformation
Read the reflectionFaster drafting creates more material to review. If the same experts must inspect everything without clear priorities, AI can move the bottleneck from production to approval.
Strategy
Read the reflectionTell us about your project scope, modernization goals, or delivery team needs.