Chapter 11 Corporate Restructuring Solution

The Client

Stretto offers US Chapter-11 Corporate Restructuring case support. Whether your needs involve claims and noticing, liquidating Chapter 11, debtor-in-possession, assignments for the benefit of creditors, or deposit management, Stretto’s unique combination of people, processes, and technology provide the right solution. The Stretto platform offers maximum efficiency in deposit management and case administration while providing a convenient, single interface for integrated banking, claims management, and workflow tracking.

Key Outcomes

Developed Stretto's U.S. Chapter-11 corporate bankruptcy management system from scratch as AWS cloud-native platform and launched it in twelve months.
Scaled Stretto's AWS-native platform with performance engineering and optimization.

Business Challenges

Stretto entered the US Chapter-11 bankruptcy management business with an urgency to develop a cloud-native solution to manage complex workflows and regulatory regimes for end-to-end case management.

Business Impacts / Key Results Achieved

Zymr was recruited based on its track record to help develop an AWS-native bankruptcy management solution that incorporated complex workflows between clients entering Chapter-11 bankruptcy, professionals, debtors, creditors, notifying parties, and the case management team. The solution consisted of five independent systems tethered together using AWS messaging queues and deployed to tackle the most tangled corporate restructuring projects. This was indeed a concept-to-cloud initiative that took intense collaboration between our mammoth development team of 100+ engineers working with our client over 16+ months to launch the 1.0 release on AWS. The system is now handling multiple bankruptcy case management projects.

Strategy and Solutions

After significant due diligence, Zymr won the competitive RFP for building a massive Enterprise Financial Services solution for our client. We designed and delivered this bespoke solution over 16+ months with a team of 100+ engineers. This was architected as cloud-native platform comprising 5 independent FinTech applications and leveraging 40+ AWS cloud-native services.&nbsp; We introduced Agile-at-Scale - Scrum-of-Scrum processes with a Zymr team of 100+ full-stack engineers, 10+ product owners, 12+ UX designers, 6+ solution architects, and 4+ scrum masters.&nbsp; We automated the full CI/CD pipeline and test automation. We are proud of our team for engineering a high quality cloud-native platform to production on time and budget.</p><p>‍</p><p id="">Our Agile teams used Full-Stack Product Engineering, AWS Cloud-Native, Workflow Engine with Reporting, Legal Document Management, RBAC - Web and Mobile Apps, Quality Automation, and CI/CD Automation. We worked on the UX design and responsive Web Consoles for various stakeholders - from case managers, clients, legal professionals, debtors, and creditors. We built a set of five microservices-based applications involving Case Management, eClaims, eBallot, Public Web Site, and Client Portal. Powering the case-management, Zymr built a highly sophisticated workflow engine. We developed responsive mobile apps for clients, creditors, and debtors. The apps were tested on varied screen sizes on phone and tablets - iOS and Android devices.</p><p>‍</p><p id="">Zymr designed and developed a complex bankruptcy engine that managed complex legal and financial workflows in a multi-tenancy environment. The Case Management app included a dozen Dokerized microservices. The most demanding aspect of bankruptcy proceedings is processing millions of documents and associated workflows. Zymr developed an AWS-centric document management microservice. The goal for a fully automated DevSecOps and CI/CD pipeline was realized by Zymr from its inception. Using AWS native tools, Kubernetes, Docker, Puppet, Python, Cloud Formation, Bamboo, Artifactory, and ECR, the goal for 'infrastructure as code' was realized. We developed a comprehensive robot-based test automation framework. We automated thousands of test cases. We performed rigorous load testing to simulate thousands of concurrent users.

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