Digital.ai VersionOne Integration

The integration of Digital.ai Agility (Formerly VersionOne) and Azure DevOps (Also known as VSTS) brings seamless coordination between the product management and development team, which in turn paves the way for a highly productive, agile delivery chain. With the integration of these two systems, enterprises can have cross-functional transparency and enriched collaboration across the business and technical verticals.

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Digital.ai Agility – Azure DevOps 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 (Also known as 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 (Also known as VSTS) users clarity on business requirements and expectations.

How Digital.ai Agility – Azure DevOps 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
  • Full traceability into the Quality Assurance (QA) reports

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

Digital.ai Agility Azure DevOps (VSTS) Integration

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

OpsHub Integration Manager integrates Digital.ai Agility and Azure DevOps (Also known as VSTS) in a bidirectional 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 workitem 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.

Popularly synchronized entities

Digital.ai Agility Azure DevOps (VSTS) Entities Mapping

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 (Also known as VSTS). 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 (Also known as VSTS) 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.

  1. The Project Manager logs a ‘user story’ in Digital.ai Agility.
  2. The ‘user story’ synchronizes to Azure DevOps.
  3. The development team breaks the ‘user stories’ into ‘tasks’ in Azure DevOps (Also known as VSTS) and log their effort hours.
  4. The ‘tasks’ in Azure DevOps (Also known as VSTS) are synchronized to ‘Actuals’ in Digital.ai Agility, which is the effort tracking entity.
  5. The Project Manager, therefore, has clear and real-time visibility into how the development work is progressing.
Digital.ai Agility Integration with Azure DevOps (VSTS)

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

Digital.ai Agility users

  • Access to the business requirements and associated updates from within Digital.ai Agility
  • Complete context of the customer requirements and priorities
  • No manual efforts needed to keep product management teams updated on the development status

Azure DevOps (VSTS) users

  • Traceability for business requirements throughout the ALM tool chain
  • Visibility into the progress of development work & the QA cycle
  • No dependency on manual communication for making business decisions
Digital.ai Digital.ai Agility Integration

The integration of Digital.ai Agility (Formerly VersionOne) and Azure DevOps Server (Also known as TFS) brings seamless coordination between the product management and development team, which in turn paves the way for a highly productive, agile delivery chain. With the integration of these two systems, enterprises can have cross-functional transparency and enriched collaboration across the business and technical verticals.

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Digital.ai Agility – Azure DevOps Server 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, cross-functional collaboration helps the teams get complete context of the business requirements.

Integrating Digital.ai Agility (Formerly VersionOne) with Azure DevOps Server (Also known as TFS) 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 Server 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
  • Full traceability into the Quality Assurance (QA) reports

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

Digital.ai Agility Azure DevOps Server (TFS) Integration

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

OpsHub Integration Manager integrates Digital.ai Agility (Formerly VersionOne)and Azure DevOps Server (Also known as TFS) in a bidirectional 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 workitem at each stage of development. On the other hand, Azure DevOps Server (Also known as TFS) users are always up-to-date on iterations schedules and changes/enhancements made to customer requests.

Popularly synchronized entities

Digital.ai Agility Azure DevOps Server (TFS) Entities Mapping

Use Case: Digital.ai Agility integration with Azure DevOps Server

Problem statement: The project management team is using Digital.ai Agility (Formerly VersionOne) and the development team is using Azure DevOps Server (Also known as TFS). 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 Digital.ai Agility (Formerly VersionOne) and Azure DevOps Server (Also known as TFS) 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.

  1. The Project Manager logs a ‘user story’ in Digital.ai Agility.
  2. The ‘user story’ synchronizes to Azure DevOps Server.
  3. The development team breaks the ‘user stories’ into ‘tasks’ in Azure DevOps Server and log their effort hours.
  4. The ‘tasks’ in Azure DevOps Server are synchronized to ‘Actuals’ in Digital.ai Agility, which is the effort tracking entity.
  5. The Project Manager, therefore, has clear and real-time visibility into how the development work is progressing.
Digital.ai Agility Integration with Azure DevOps Server (TFS)

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

Digital.ai Agility users

  • Access to the business requirements and associated updates from within Digital.ai Agility (Formerly VersionOne)
  • Complete context of the customer requirements and priorities
  • No manual efforts needed to keep product management teams updated on the development status

Azure DevOps Server users

  • Traceability for business requirements throughout the ALM tool chain
  • Visibility into the progress of development work & the QA cycle
  • No dependency on manual communication for making business decisions
Digital.ai VersionOne Integration

The integration of Digital.ai Agility (Formerly VersionOne) and Helix ALM brings seamless coordination between the product management and development teams, which in turn paves the way for a highly productive, agile delivery chain.

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Digital.ai Agility – Helix ALM Integration Overview

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

Best-of-breed systems such as Digital.ai Agility (Formerly VersionOne) and Helix ALM bring rich functionalities to the ecosystem. Integrating Digital.ai Agility with Helix ALM helps the product management team have real-time visibility into the quality as well as the volume of development work managed in a delivery cycle. On the other hand, it gives Helix ALM users clarity on business requirements and expectations.

How Digital.ai Agility – Helix ALM integration is beneficial for an enterprise

  • Visibility into full breakdown of features done in Helix ALM from Digital.ai Agility
  • Real-time updates on the status of a story, its estimated time of delivery, and any risks that might delay the impending release
  • Access to QA plans and defects in real time
  • Complete context of the customer requirement and visibility into codes written by the development team & test cases written by the QA team
  • Coordinate on the delivery timelines seamlessly with concurrent updates on changes

With Digital.ai Agility + Helix ALM integration, enterprises can:

Digital.ai Agility Helix ALM Integration

How OpsHub Integration Manager integrates Digital.ai Agility and Helix ALM

OpsHub Integration Manager integrates Digital.ai Agility (Formerly VersionOne) and Helix ALM in a bidirectional manner. It ensures that all data is available to each user, in that user’s preferred system, with full context, in real-time. All ‘user stories ’from Digital.ai Agility synchronize to Helix ALM giving the development team visibility into the development work. The product management team using Digital.ai Agility also has real-time visibility into the development work’s progress; therefore, they can plan the iterations better.

Popularly synchronized entities

Digital.ai Agility Helix ALM Entities Mapping

Use Case: Digital.ai Agility integration with Helix ALM

Problem statement: The project management and development team are using Digital.ai Agility (Formerly VersionOne) as a project management system and Helix ALM as a development system. If these two systems are not synchronized, 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. The development team doesn’t have visibility into changes coming from Project Manager/Customer.

Solution: When Digital.ai Agility(Formerly VersionOne) and Helix ALM are integrated, the Project Manager will have real time visibility into the work of the development team, which in turn will improve the overall planning and estimation process.The development team will also have clear context of the changes/updates coming from customer or business teams.

  1. The Project Manager logs a ‘user story’ in Digital.ai Agility.
  2. The ‘user story’ synchronizes to Helix ALM as ‘Requirements’.
  3. The QA team creates a ‘test’ in Digital.ai Agility. In Helix, the ‘test’ synchronizes to Digital.ai Agility as ‘Test’.
  4. The development team works on the requirement and runs the test case against it. The test case fails.
  5. The status of the ‘test’ updates in Digital.ai Agility accordingly.
  6. The QA team then creates an issue against the test case in Helix, which synchronizes to Digital.ai Agility as well.
  7. The development team works on the ‘issue’, resolves it, runs the test case against it. The test case passes.
  8. The development team then marks the ‘issue’ as resolved. After resolving the issue the test case is passed which syncs to Digital.ai Agility.
  9. Digital.ai Agility story is updated as closed and this closes the requirement in Helix.
Digital.ai Agility Integration with Helix ALM

Benefits of integration for Digital.ai Agility and Helix ALM users

Digital.ai Agility users

  • Visibility into development progress and quality of development work
  • Visibility into effort estimation and efforts utilized by development team
  • No manual effort required to communicate business priorities to the development team

Helix ALM users

  • Real-time updates on backlog items and associated changes/enhancements
  • Clear visibility into quality parameters and test results from Helix ALM itself
  • No manual effort required to keep the project management team updated on development sttaus
Digital.ai VersionOne Integration

The integration of Digital.ai Agility (Formerly VersionOne) and Salesforce helps the project manager, engineering team, and customer-facing teams, such as support, sales, and services teams align their goals and tasks with each other. With the integration of these two systems, enterprises can have cross-functional transparency and enriched collaboration across the business and technical verticals.

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Digital.ai Agility – Salesforce Integration Overview

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

Best-of-breed systems such as Digital.ai Agility (Formerly VersionOne) and Salesforce bring rich functionalities to the ecosystem. By integrating Digital.ai Agility with Salesforce, enterprises can diminish collaboration barriers between the technical and customer-facing teams that otherwise lead to quality issues, delivery delays, and financial loss.

How Digital.ai Agility – Salesforce integration is beneficial for an enterprise

  • Real-time access to customer issues, priorities, updates and changes in customer requirements
  • Enable teams to have a meaningful first response for issues with critical severity
  • Real-time updates to all teams when a customer issue is resolved
  • Communication on the workitems from the native systems itself
  • Ability to stay ahead of the competition, in pre and post-sales service, with proactive response and by delivering meaningful solutions in time

With Digital.ai Agility + Salesforce integration, enterprises can:

VersionOne Salesforce Integration

How OpsHub Integration Manager integrates Digital.ai Agility and Salesforce

OpsHub Integration Manager integrates Digital.ai Agility (Formerly VersionOne) and Salesforce bidirectionally. 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. All cases, opportunities, feeds, ‘ideas’, or any similar custom entity from Salesforce automatically synchronize to Digital.ai Agility and all the entities and details associated with the entity synchronize back to Digital.ai Agility.

Popularly synchronized entities

Digital.ai Agility Salesforce Entities Mapping

Use Case: Digital.ai Agility integration with Salesforce

Problem statement: The support/service team receives a customer request. The support/service team recognizes it as an ‘enhancement request’. They, then, send this requirement to the Project Manager for approval. The Project Manager asks for customer emails and more context of the communication between sales team and customer. The sales team then shares the requisite details with the Project Manager who approves the request and shares the details with the engineering team. The support/service team, meanwhile, has no idea as to when the ‘enhancement request’ will be completed.

Solution: When Salesforce and Digital.ai Agility (Formerly VersionOne) are integrated, the support, service, sales and engineering teams can seamlessly coordinate with each other from their native systems. There is no need to coordinate over a customer requirement on calls or over emails. This helps in cutting down on miscommunication and gives complete visibility to the customer-facing teams and backend teams in each other’s tasks.

  1. The support team gets a ticket from the customer which they classify as an ‘enhancement request’.
  2. The support team logs this ‘enhancement request’ as an ‘idea’ in Salesforce with status ‘Pending for approval’. The support team details out the idea in the description column.
  3. The sales team, also using Salesforce, further details out the context of the request, the urgency of the request, and attaches customer emails for the Project Manager and engineering teams’ reference.
  4. The ‘idea’ synchronizes to Digital.ai Agility as a ‘backlog item’ with status ‘New’. The Engineering Project Manager approves the ‘enhancement request’ by changing the status of ‘backlog item’ to ‘Accepted/In Progress’ and assigns a delivery date for the ‘backlog item’.
  5. The delivery date gets updated in Salesforce as well. The support/service and sales team are, therefore, updated with the due delivery date.
  6. The engineering team starts work on the backlog item, tests it, and marks it as ‘complete’.
  7. The status of the ‘idea’ in Salesforce changes to ‘Ready for customer verification’.
  8. The support team responds to the customer that the enhancement request has been fulfilled and ready for verification.
Digital.ai Agility integration with Salesforce

Benefits of integration for Digital.ai Agility and Salesforce users

Digital.ai Agility users

  • Traceability for customer requirements throughout
    the ALM tool chain
  • Visibility into customer issues and priorities
  • No dependency on manual communication for
    making business decisions

Salesforce users

  • Access to the updates coming from engineering team on customer requirements from within Salesforce
  • Easy to categorize and prioritize customer requests for backend teams
  • No manual efforts needed to keep project & engineering teams updated on customer issues and priorities
Digital.ai VersionOne Integration

The integration of Digital.ai Agility (Formerly VersionOne) and Jira brings seamless coordination between the product management and development teams, which in turn paves the way for a highly productive, agile delivery chain.

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Digital.ai Agility and Jira Integration Overview

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

Best-of-breed systems such as Digital.ai Agility (Formerly VersionOne) and Jira bring rich functionalities to the ecosystem. By integrating Digital.ai Agility with Jira, the product management team will have real-time visibility into the development plan as well as the progress of each requirement. It will also give developers clarity on business requirements and customer expectations.

How Digital.ai Agility and Jira 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
  • Get full traceability into the Quality Assurance (QA) reports

With Digital.ai Agility and Jira integration, enterprises can:

Digital.ai Agility JIRA Integration

How OpsHub Integration Manager integrates Digital.ai Agility and Jira

OpsHub Integration Manager integrates Digital.ai Agility (Formerly VersionOne) and Jira bidirectionally. 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. All ‘backlog items’ from Digital.ai Agility along with ‘actuals’ synchronize to Jira giving the development team visibility into the development work and estimated effort hours. The product management team using Digital.ai Agility also has real-time visibility into the development work’s progress; therefore, they can plan the iterations better.

Popularly synchronized entities

Digital.ai Agility JIRA Entities Mapping

Use Case: Digital.ai Agility integration with Jira

Problem statement: The project management and development team are using Digital.ai Agility (Formerly VersionOne) as a project management system and Jira as a development system. If these two systems are not synchronized, the Project Manager doesn’t have clear visibility into efforts taken to complete a task, status of a task, and similar details to plan incoming customer requests.

Solution: When Jira and Digital.ai Agility are integrated, the Project Manager will have real time visibility into the work of development team, which in turn will improve the overall planning and estimation process.

  1. The Project Manager logs a ‘user story’ in Digital.ai Agility.
  2. The ‘user story’ synchronizes to Jira.
  3. The development team breaks the ‘user stories’ into ‘tasks’ in Jira and log their effort hours.
  4. The ‘tasks’ in Jira are synchronized to ‘Actuals’ in Digital.ai Agility, which is the effort tracking entity.
  5. The Project Manager, therefore, has clear and real-time visibility into how the development work is progressing.
Digital.ai Agility integration with JIRA

Benefits of integration for Digital.ai Agility and Jira users

Digital.ai Agility users

  • Traceability for business requirements throughout
    the ALM tool chain
  • Visibility into the progress of development work & the QA cycle
  • No dependency on manual communication for
    making business decisions

Jira users

  • Access to the business requirements and associated updates from within Jira
  • Complete context of the customer requirements and priorities
  • No manual efforts needed to keep product management teams updated on the development status
Digital.ai VersionOne Integration

The integration of Digital.ai Agility (Formerly VersionOne) with Micro Focus ALM (Also known as Micro Focus ALM / QC and Micro Focus ALM Octane) makes it easier for the development and Quality Assurance (QA) teams to collaborate. This, in turn, helps in delivering a high-quality product to customers at a faster pace.

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Digital.ai Agility – Micro Focus ALM Integration Overview

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

Best-of-breed systems such as Digital.ai Agility (Formerly VersionOne) and Micro Focus ALM (Also known as Micro Focus ALM / QC and Micro Focus ALM Octane) bring rich functionalities to the ecosystem. Integration of Digital.ai Agility with Micro Focus ALM/QC ensures that the development and QA teams are on the same page when it comes to delivery timelines and has complete visibility into each other’s tasks.

How Digital.ai Agility – Micro Focus ALM integration is beneficial for an enterprise

  • Trace the requirement breakdown, associated test cases, and defects
  • 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
  • Get full traceability into the Quality Assurance (QA) plans and reports

With Digital.ai Agility + Micro Focus ALM integration, enterprises can:

VersionOne Micro Focus ALM/QC Integration

How OpsHub Integration Manager integrates Digital.ai Agility and Micro Focus ALM

OpsHub Integration Manager integrates Digital.ai Agility (Formerly VersionOne) and Micro Focus ALM (Also known as Micro Focus ALM / QC and Micro Focus ALM Octane) bi-directionally. 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. The release and cycle, test cases, defects in Micro Focus ALM can be accessed by the development team from Digital.ai Agility itself. The QA team also gets real-time visibility into the plans, schedule, and progress of a story.

Popularly synchronized entities

VersionOne Micro Focus ALM/QC Entities Mapping

Use Case: Digital.ai Agility integration with Micro Focus ALM

Problem statement: The development team and quality control team are not able to coordinate on timelines and the issues are falling through the cracks.

Solution: When Digital.ai Agility (Formerly VersionOne) is integrated with Micro Focus ALM (Also known as Micro Focus ALM / QC and Micro Focus ALM Octane), both quality and development will have visibility into each other’s schedule and the coordination will become seamless.

  1. The quality control team creates ‘defect’ in Micro Focus ALM after testing a ‘use case’.
  2. The ‘defect’ along with associated details gets synchronized to Digital.ai Agility.
  3. The development team edits the corresponding defect in Digital.ai Agility and defines a ‘resolution date’. This detail synchronizes to Micro Focus ALM.
  4. The quality control team writes a ‘test case’ against the defect and plans the test as per the timelines, which also synchronizes to Digital.ai Agility.
  5. When the ‘defect’ is resolved, the development team marks the ‘defect’ as resolved.
Digital.ai Agility Integration with Micro Focus ALM/QC

Benefits of integration for Digital.ai Agility and Micro Focus ALM users

Digital.ai Agility users

  • Visibility into QA schedule and test cases in advance
  • Complete context of the defects and their severity
  • No dependency on manual communication for
    making business decisions

Micro Focus ALM users

  • Access to the business requirements, development status, and associated updates from within Micro Focus ALM/QC
  • Complete context of the customer requirements and priorities
  • No manual efforts needed to keep backend teams updated on the QA cycle and reports
Digital.ai VersionOne Integration

The integration of Digital.ai Agility (Formerly VersionOne) with ServiceNow helps the customer service and development teams communicate efficiently, in real-time. This, in turn, helps resolve customer issues faster.

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Digital.ai Agility – ServiceNow Integration Overview

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

Best-of-breed systems such as Digital.ai Agility (Formerly VersionOne) and ServiceNow bring rich functionalities to the ecosystem. By integrating Digital.ai Agility with ServiceNow, enterprises can diminish collaboration barriers between development and customer service teams that otherwise lead to quality issues, delivery delays, and financial loss.

How Digital.ai Agility – ServiceNow integration is beneficial for an enterprise

  • Real-time access to customer issues and priorities
  • Communication on the workitems from the native systems itself
  • Real-time updates when a customer issue is resolved

With Digital.ai Agility and ServiceNow integration, enterprises can:

VersionOne ServiceNow integration

How OpsHub Integration Manager integrates Digital.ai Agility and ServiceNow

OpsHub Integration Manager integrates Digital.ai Agility (Formerly VersionOne) and ServiceNow bidirectionally. 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. All ‘tickets’ from ServiceNow automatically synchronize to Digital.ai Agility and all the entities and details associated with the ‘tickets’ synchronize back to Digital.ai Agility.

Popularly synchronized entities

Digital.ai Agility ServiceNow Entities Mapping

Use Case: Digital.ai Agility integration ServiceNow

Problem statement: The support representative receives a ticket from a customer. As the problem is not known – the customer service representative passes it to development team. The development team is unable to comprehend customer’s problem due to insufficient information. The three-way communication between support, development, and customer goes for three days, before the development team understands the issue.

Solution: When the support and ALM systems are integrated, the tickets will automatically synchronize to the ALM system in a standard format, and the communication gap due to comprehension of different types of messages will be eliminated.

  1. The support team receives a ticket from the customer stating, “Encrypted files not going from my e-mail box”.
  2. The customer service representative identifies this as ‘problem’.
  3. The problem synchronizes to Digital.ai Agility as a ‘bug’.
  4. The development team analyzes the ‘bug’ and, as the resolution, shares a .exe file as an attachment, and asks the customer to run it.
  5. The development team also leaves a comment for the customer specifying steps to run the file.
  6. The customer runs the file and the encryption issues gets resolved. The customer confirms that the issue is now resolved.
  7. The development team changes the status of the ‘bug’ to ‘closed’. The change also reflects in ServiceNow, and the status of ‘problem’ changes to ‘resolved’.
Digital.ai Agility Integration with ServiceNow

Benefits of integration for Digital.ai Agility and ServiceNow users

Digital.ai Agility users

  • Traceability for business requirements throughout
    the ALM tool chain
  • Visibility into customer issues and priorities
  • No dependency on manual communication for
    making decisions

ServiceNow users

  • Access to the business requirements and associated updates from within ServiceNow
  • Easy to categorize and transfer customer tickets to Digital.ai Agility
  • No manual efforts needed to keep backend teams updated on customer issues and priorities
Digital.ai VersionOne Integration

The integration of Digital.ai Agility with IBM DOORS (Both DOORS and IBM DOORS Next Generation) brings transparency to the application delivery ecosystem.

The product management teams get complete visibility into the progress of development work, and the development teams have direct access to the customer requirements and any changes/enhancements made to the requirements.

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Digital.ai Agility – IBM DOORS 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 a complete context of the business requirements.

Best-of-breed systems such as Digital.ai Agility (Formerly VersionOne) and IBM DOORS (Both DOORS and IBM DOORS Next Generation) bring rich functionalities to the ecosystem. By integrating IBM DOORS and Digital.ai Agility, the development teams will have real-time visibility into business requirements, and the product management teams will be able to trace all user stories and test cases associated with the requirement. As the overall collaboration in the ecosystem would increase, enterprises will deliver better quality products to customers at a faster pace.

How Digital.ai Agility – IBM DOORS integration is beneficial for an enterprise

  • Track the estimated and actual development effort
  • Trace the requirement breakdown completely – access the features, tasks, sub-tasks associated with the requirement
  • 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
  • Full traceability into the Quality Assurance (QA) reports from both systems

With Digital.ai Agility + IBM DOORS integration, enterprises can:

Digital.ai Agility DOORSNG Entities Mapping

How OpsHub Integration Manager integrates Digital.ai Agility and IBM DOORS

OpsHub Integration Manager integrates Digital.ai Agility and IBM DOORS bidirectionally. 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. All ‘requirements’ from IBM Rational DOORS NG automatically synchronize to Digital.ai Agility as a ‘story’ and all the entities and details associated with the ‘story’ synchronize back to IBM DOORS NG.

Popularly synchronized entities

Use Case: Digital.ai Agility integration with IBM DOORS

Problem statement: A Product Manager has to call/send emails to each team working on a ‘requirement’ to track the status of their work. Any miss from any teams can have serious implications.

Solution: If IBM DOORS (Both DOORS and IBM DOORS Next Generation) and Digital.ai Agility (Formerly VersionOne) are integrated, the priorities of the requirement will automatically synchronize to the development team.

  1. The Product Manager creates a ‘requirement’ for an additional feature requested by the customer in DOORS NG.
  2. The Product Manager describes the requirement, possible use case, and priority of the ‘requirement’ in DOORS NG, and assigns it to the development team lead.
  3. The ‘requirement’ synchronizes to Digital.ai Agility along with the details defined in DOORS NG.
  4. The changed status of ‘requirement’ reflects in IBM DOORS as well.The Product Manager knows that the development team has started work on the ‘requirement’.
  5. When the development team develops the requested feature, and tests it against the defined test case, it updates the status of the ‘requirement’ as ‘complete’ in Digital.ai Agility.
  6. The Product Manager is, then, automatically notified in DOORS that the ‘requirement’ is completed.
Digital.ai Agility Integration with DOORSNG

Benefits of integration for Digital.ai Agility and IBM DOORS users

Digital.ai Agility users

  • Complete context of the business requirements
  • Real-time updates for any changes to the requirements or delivery timelines
  • No manual efforts needed to keep product management teams updated on the development status

IBM DOORS users

  • Traceability for business requirements throughout the ALM tool chain
  • Visibility into the progress of development work
  • No dependency on manual communication for making business decisions