Artificial intelligence

Artificial Intelligence Solutions & Integrations

The integration of AI into platforms like Jira, Confluence, and SAP offers transformative benefits beyond chatbots and virtual assistants. AI automates tasks, enhances data visibility, and fosters collaboration. In project management tools like Jira, AI streamlines task prioritization and resource allocation. In Confluence, AI-driven search delivers personalized content, boosting productivity. In SAP, AI optimizes inventory and predicts customer demand. This integration empowers organizations with actionable insights, improves decision-making, and drives innovation, paving the way for sustainable growth and competitive advantage in the digital economy.

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AI tools right where you need them

We are not in the business of creating new and powerful AI Models. There are others better equipped to do that. Our focus is to bring AI Tools where you need them - Right into your Atlassian environment. Our innovative approach to AI is designed to transform tedious tasks through automation, seamlessly integrating into your existing toolkit. We're here to empower your team by placing advanced AI tools right at their fingertips. As part of the TIMETOACT group network, we're dynamically bridging ecosystems—from Atlassian to Google, Microsoft, and SAP—using AI to innovate and streamline your workflows.

AI Integration

The majority of features within the SAFe ART are categorized under "Business," indicating a focus on value generation. Enabler features are present in each Program Increment (PI), supporting the balance between value generation and protection. There is a low count of Non-Functional features, potentially indicating a need for more focus on aspects like performance, security, and usability.
AI Integration

The data shows a clear emphasis on delivering business value, but there are also enabler features to support the system's overall health and sustainability. The presence of Non-Functional features, although low, highlights the importance of considering aspects beyond pure functionality in the development process.
AI Integration

Encourage teams to define and prioritize non-functional requirements early in development in order to address potential performance, security, and usability issues. You can also conduct regular reviews of the flow distribution chart to ensure a balanced investment between value generation and protection, facilitating data-driven trade-off discussions.

AI Integration

Outliers: PI "QI-4" has a significantly higher velocity compared to the rest, indicating potential outlier stories or exceptionally productive team.
AI Integration

Trends: Velocities seem to fluctuate with no clear increasing or decreasing trend over PIs.3.
AI Integration

Impact: The high velocity in PI "QI-4" can impact planning in subsequent PIs, potentially setting unrealistic expectations. Dependencies on this team's output may need to be managed carefully to avoid disruptions.

AI Integration

Encourage breaking down large work items: To avoid wave-like velocity patterns, work items should be decomposed into smaller, more manageable tasks
AI Integration

Regularly review outliers: Investigate the reasons behind the exceptionally high velocity in PI "QI-4" to replicate successful practices across other PIs or address any issues that may arise.

Seamless translations in support tickets

Our AI translation Integration uses Jira Automation, API calls and clever configuration to create a seamless translation interface for multilingual support teams. Customers won't even notice that their communication on the ticket is translated. Once the setup of custom fields and automations is completed, the summary of incoming requests will automatically be translated as well as all the comments in the issue. Customers will see relevant information only in their native language.

Help keep your service cost under control

Minimize frictions in communication across geographical borders

Improve customer experience by offering always-on support ("follow the sun" etc)

Works with native Jira Service Management features, no apps required!

Streamlined Ticket Structure:

JSM tickets can often be unstructured, making manual screening essential. Our AI sifts through the description to extract all pertinent details, reducing the need for manual intervention.

Automated CMDB Associations:

The AI automatically links incoming requests with relevant CMDB entries. This ensures that the right information is at hand when resolving issues, enhancing accuracy and speed.

Effortless Data Entry:

Custom fields and CMDB Links no longer require manual filling. Our AI populates these fields based on its analysis of the ticket description, saving time and minimizing errors.

Duplicate and Similar Ticket Identification:

The AI scans existing tickets to identify duplicates or similar issues, preventing redundancy and ensuring that each ticket is unique and appropriately addressed.

Priority and Impact Evaluation:

Based on its analysis, the AI evaluates and fills out fields such as Priority and Impact, prioritizing urgent issues and providing a clearer understanding of the ticket’s significance.

Major Incident Identification:

When multiple users are affected, the AI recognizes potential major incidents, enabling timely and coordinated responses to significant service disruptions.

Intelligent Description Screening

The AI meticulously screens the ticket description to decipher CMDB relationships, ensuring that all related data is identified and utilized.

Dynamic Field Population

By analyzing the ticket description, the AI autonomously populates custom fields with appropriate content, further enhancing the ticket’s completeness and relevance.

Existing CMDB Structure Linkage

If related data is found, the AI establishes a connection between the ticket and the existing CMDB structure, fostering a more integrated and comprehensive approach to issue resolution.