AVC Atlassian Case Study: Modernizing Incident Management with Atlassian Cloud

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Learn how we transformed the support operation of the Aval Group’s Shared Services Center. Through the implementation ofAtlassianand advanced capabilities ofAtlassian Intelligence, we modernizeincident managementto achieve a more agile, traceable, and scalable process.

THE CHALLENGE

In 2024, AVC’s Production Support area was facing a high volume of incidents with manual processes, a dispersed knowledge base, and a high turnover of technical personnel. This combination generated loss of key information, slow diagnosis, and a growing reliance on experienced specialists, which hinders the scalability and sustainability of the service.

The challenge was clear:modernize incident managementin critical production environments, ensure end-to-end traceability, and improve operational efficiency, integrating automation, artificial intelligence, and structured knowledge without compromising the stability of existing systems

WHAT DID WE DO?

We designed and implementedDiagnostic, an intelligent support solution based on Atlassian Cloud. The project was executed in four strategic phases under an agile methodology (Scrum), starting with a detailed analysis of existing processes and requirements gathering with key stakeholders.

A modular architecture was implemented combiningJira and Confluence, and artificial intelligence capabilities were integrated throughRovo and Atlassian Intelligence. A structured knowledge base was built, historical incident data was uploaded, response models were trained, and executive dashboards were defined with key KPIs.

The entire process was managed with iterative cycles, functional validations, continuous training and a progressive adoption strategy that guarantees a successful and scalable implementation in the production environment.

RESULTS

•Reduction of the time to diagnose massive incidents from 15 to 7 minutes

•Average closure of incidents reduced from 25 to 17 minutes

•Learning curve for new specialists reduced from 6 to 3 months

•Increased productivity: from 457 to 535 incidents per month per employee

•Improvement in SLA compliance: from 95% to 97.4% currently, with a projection of 99% in 2025

•Robust and structured knowledge management, avoiding loss of critical information

• Automation of repetitive tasks and reports with key metrics in real time

• Technology scalability: architecture ready to integrate platforms such as Transfiya, Postillion and BillPay

Thanks to Atlassian’s technology and applied artificial intelligence, Aval Valor Compartida transformed its support operation into a proactive, traceable, and future-proof experience.

And are you ready to bring it to your business? Join the innovation with your feet in the cloud.