AI-Accelerated Application Transformation

"Our solution combines proven cloud-native engineering practices with GenAI tooling (e.g., AWS Transform, Bedrock, Slalom AI tooling) to rapidly modernise legacy .NET and SQL workloads into a secure, resilient, and cost-efficient platform running on AWS. By letting AI handle code analysis, refactoring, and test generation, teams can focus on high-value design decisions, slash time-to-value, and de-risk the transition to a future-proof architecture.

Key Deliverables

1. Discover

We align vision, constraints, and success metrics—then let AI surface modernisation opportunities before any code is touched. • Target-state architecture validated and benchmarked against AWS Well-Architected best practice. • Legacy code-base automatically analysed to map dependencies, technical debt, and modernisation effort. • AI-generated backlog that prioritises quick-win refactors, security hardening, and cloud optimisation. • ROI model and delivery roadmap providing cost, timeline, and resource clarity.

2. Build

We iteratively uplift, refactor, and extend the application while AI accelerates coding, testing, and documentation. • APIs, front end, and database modernisation delivered in production-ready quality. • Up to 40 % faster sprint velocity through AI-assisted code generation, automated unit tests, and smart code reviews. • Infrastructure-as-Code (IaC), CI/CD pipelines, and automated quality gates baked in for repeatable, secure releases. • Observability, security, and compliance controls integrated from the ground up.

3. Transition We ensure your teams own and evolve the new platform with confidence and minimal disruption. • Knowledge transfer, playbooks, and pair-programming sessions upskill internal engineers on AI-powered workflows. • Handover of code, IaC, test suites, and architectural decision records fully documented and searchable. • Support model and continuous-improvement backlog established to keep the platform evergreen."