Bajaj Allianz Transforms Daily Deployments
The general insurance giant automates daily deployments with TCS MasterCraft™ DevPlus.
The insurance giant wanted to manage their ‘requirements-to-release’ processes, create a continuous delivery pipeline, initiate tasks and deploy changes across its environments. The current business scenario demanded continuous delivery of its customer portal and other applications to the market. After a rigorous evaluation of the available commercial products in the market, BAGIC opted for TCS MasterCraft™ DevPlus, which can manage both agile and traditional lifecycle processes.
TCS MasterCraft™ DevPlus was deployed for automating BAGIC’s Agile Delivery, Test Management, and (CI/CD) processes. DevPlus has enabled BAGIC to streamline the entire set of development and delivery processes and facilitated tighter collaboration among the involved teams, despite the COVID-19 pandemic. DevPlus is extensively carrying out post-deployment CR processes for BAGIC’s travel insurance segment. And for the health insurance segment, DevPlus performs requirements management, test and defect management, and CI/CD in a traditional workspace setup.
“We have completely automated our deployments seamlessly with TCS MasterCraft™ DevPlus. It has helped us deliver more with every release, with high quality and lesser time.” -Avinash Naik, Senior Vice President, BAGIC
The end-to-end release and deployment processes were streamlined through DevPlus. This enabled BAGIC to plan the releases and scale up the number of daily deployments easily, despite having highly distributed development, testing and deployment teams.
What Made it happen
With real-time interaction management, TCS’ solution helps clients improve customer relationship management and offer omnichannel customer experience. Learn more.
TCS’ agent analytics solution enables data-driven decision making for insurers to manage their agents, improve their performance, & drive business growth.
TCS’ Underwriting Transformation Solution addresses three key areas: ML-based information extraction, modelled and non-model losses and analytics to estimate probable financial losses, and supply-side disruptions.