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Azure DevOps Integration with Digital.ai Agility

Bi-directional sync using OpsHub Integration Manager

Integrating Azure DevOps (Server & Services) with Digital.ai Agility enables smooth coordination between product management and development teams, creating a more productive agile delivery chain. This integration boosts cross-functional transparency and collaboration across business and technical verticals.

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Azure DevOps – Digital.ai Agility Integration Overview

In an Application Lifecycle Management (ALM) ecosystem, the choice of systems and the collaboration between the cross-functional teams play a great role. While the choice of systems impacts the productivity of a team, the cross-functional collaboration helps the teams get complete context of the business requirements.

Integrating Digital.ai Agility (Formerly VersionOne) with Azure DevOps (Both Azure DevOps Server and Services, also known as TFS and VSTS) helps the Project & Portfolio Management teams have real-time visibility into the complete delivery ecosystem. It also helps in creating traceability for all work items in Digital.ai Agility to the source code repository and vice versa. On the other hand, it gives Azure DevOps users clarity on business requirements and expectations.

How Digital.ai Agility – Azure DevOps Server integration is beneficial for an enterprise

Trace the requirement breakdown and associated test cases

Get complete context of the business requirement and receive real-time updates when there is a change in the plan

Coordinate on the delivery timelines seamlessly with concurrent updates on changes

Track the estimated and actual development efforts

With Azure DevOps + Digital.ai Agility integration, enterprises can

How OpsHub Integration Manager integrates Azure DevOps and Digital.ai Agility

OpsHub Integration Manager integrates Digital.ai Agility (Formerly VersionOne) and Azure DevOps (both Azure DevOps Server and Services, also known as TFS and VSTS) in a bi-directional manner. It ensures that all historical and current data is available to each user, in that user’s preferred system, with full context, in real-time. Digital.ai Agility users have traceability for each work item at each stage of development. On the other hand, Azure DevOps users are always up-to-date on iterations’ schedules and changes/enhancements made to a customer request.

Easy steps to integrate Azure DevOps and Digital.ai Agility

01
Step

Set up connection to Azure DevOps and Digital.ai Agility.

02
Step

Select the projects and entities for mapping.

03
Step
Select sync direction and sync filter.
04
Step
Click and map fields to be integrated.

Use Case: Digital.ai Agility integration with Azure DevOps

Problem statement: The Project Management Team is using Digital.ai Agility (Formerly VersionOne) and the Development team is using Azure DevOps. If these two systems are not integrated, the Project Manager doesn’t have clear visibility into efforts taken to complete a task, status of a task, and similar details to plan work.

Solution: When Azure DevOps and Digital.ai Agility(Formerly VersionOne) are integrated, the Project Manager will have real-time visibility into the progress of a customer requirement, which in turn will improve the overall planning and estimation process.

Benefits of integration for Digital.ai Agility and Azure DevOps users

Azure DevOps users

Digital.ai Agility users

Get started with your Azure DevOps – Digital.ai Agility integration today!