Revolutionizing Technology Transformation with AI

Revolutionize software delivery with AI. Accelerate development, optimize operations, and reduce timelines through AI-powered technology transformation.

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Technology Transformation

Harness the power of AI to transform the Software Development Lifecycle (SDLC). Automate coding, testing, and deployment for faster delivery. Leverage AI-driven insights for smarter decision-making and optimized performance. Enable seamless modernization and re-platforming, ensuring agility and innovation. Empower teams to focus on creativity while AI handles repetitive tasks efficiently.

Software Engineering Acceleration

Requirements elucidation for Banking enablement

Leverage the speed and breadth of AI to define granular requirements for Product Owners and their Teams, providing comprehensive coverage across the Domain in context. Refinement of existing requirements to remain aligned with changing Banking landscapes.

Coding/development acceleration

Powered by AI, reduce time and effort in performing “from-scratch” Development of stated requirements. Boiler-plate frameworks and initial code base provided by AI models, thus allowing Developers to rapidly build applications and features at scale.

AI in Quality Engineering

AI led generation of test cases traced back to Business requirements, Automated updates to scripts for application changes, bulk test data conditioning, all of these leading to reduced and more impactful test cycles

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Application Management Services

AI led Observability and predictability

Well structured insights into the overall health and scalability of Banking apps. Anomaly detection for abnormal patterns in the End-to-End IT stack, pre-emptive prevention of Incidents/outages thus ensuring systems remain operational and stable for the Bank’s clientele.

AI powered Incident Management

Intelligent analysis of logs and incident tickets, with swift root cause identification and potential resolution mechanisms. Prioritization of incidents basis Bank’s Business impact and needs. Self-healing capabilities in routine maintenance operations, resulting in robust IT application stack for Banks.

Tech Modernization

AI based identification of modernization needs

AI used to perform legacy stack evaluation and tech debt curation, especially on monolithic applications, running on older tech stack. Further provides recommended modernization approaches to enhance and fortify the Bank’s Business processes, potentially making them Cloud ready.

AI powered tech upgrades

Upgrading underlying technology to latest versions, in a seamless manner thus reducing significant effort and time overruns. Dependency resolution and contextual refactoring of needed components, resulting in Upgrades with minimal downtimes and remaining technically aligned to Industry leading release stacks.