ValueBlue AI

ValueBlue AI capabilities 

Why choose ValueBlue’s AI Assistants? 

• User-Friendly: Both assistants feature intuitive, conversational interfaces – no specialized training is needed. 

• Time-Saving: Quickly access the knowledge you need without leaving the BlueDolphin environment. 

• Collaboration-Ready: Effortlessly share insights, documents, and process overviews to keep everyone on the same page. 
  
  

Knowledge AI Assistant 

Purpose: 

• Explore & Learn: Provides instant insights about BlueDolphin’s features, architecture, and best practices through natural language queries. 

• Stay Focused: Eliminates the need to switch between BlueDolphin and separate documentation, keeping you on task. 

• Onboarding for All: Makes platform knowledge accessible to everyone, not just technical experts or architects. 

Data usage (Knowledge AI): 

The Knowledge AI Assistant is designed exclusively for general-purpose use. It functions solely as a natural language search engine for the BlueDolphin knowledge base without processing or accessing any of your organization’s data. 

How it helps you: 

• Ask Any Question: Type your query and the Knowledge AI Assistant will guide you with step-by-step explanations or direct links to relevant documentation. 

• Faster Adoption: New users can quickly grasp BlueDolphin’s capabilities without extensive training. 
  
  

Process AI Assistant 

Purpose: 

• Make BPMN Simple: Translates complex BPMN diagrams into easy-to-understand visuals and shareable documentation. 

• Empower Non-Experts: Designed to help beginners and seasoned pros navigate process flows without prior BPMN expertise. 

• Streamlined Collaboration: Allows quickly generating clear process overviews that can be shared with teams and stakeholders. 

Data usage (Process AI): 

Unlike the Knowledge AI Assistant, the Process AI Assistant does process tenant data. Specifically, it reads and interprets the BPMN diagrams you create or upload within BlueDolphin when you submit a question to provide accurate answers and generate shareable documentation. 

How it helps you: 

• Natural Language Queries: Type questions in plain language to explore a process step by step. 

• Instant Documentation: Turn any BPMN diagram into a formatted document with just a few clicks, making it easy to keep everyone aligned. 
  
  

Architecture View AI Assistant 

Purpose: 

• Simplify Architecture Exploration: Translates complex architecture models into clear insights using natural language.

• Empower All Users: Enables intuitive interaction with architecture views without a technical background.

• Effortless Sharing: Quickly generate and share insights from models such as application landscapes, process architectures, and solution designs.

Data usage (Architecture View AI): 

Unlike the Knowledge AI Assistant, the Architecture View AI does process tenant data. Specifically, it reads and interprets the architecture views you create or upload within BlueDolphin when you submit a question to provide accurate answers and generate shareable insights. 

How it helps you: 

• Natural Language Interaction: Ask questions about architecture in plain language to easily explore different perspectives. 

• Instant Insights: Transform architecture models into understandable, shareable content with just a few clicks. 

Modelling Assistant (BPMN Generator) 

Purpose:  

• Model in minutes: Turn plain language into BPMN 2.0-compliant diagrams instantly, reducing manual diagramming effort. 

• Make modelling accessible: Empower business users to actively design and refine workflows, accelerating collaboration with process owners, architects, and transformation teams.

• Reuse what you already have: Turn existing documentation into structured BPMN simply by uploading files and  prompt. 

Data usage (Modelling Assistant): 

Unlike the Knowledge AI Assistant, the Modelling Assistant processes tenant data and the process information you provide to generate the BPMN model. This includes interpreting the content of uploaded files and the prompts you submit to produce a diagram. Uploaded files may be used as contextual information for follow-up questions within the modelling flow. 

How it helps you:  

• Prompt-to-diagram: Describe a process in plain language and receive a ready-to-edit BPMN diagram. 

• File-to-diagram: Upload supporting material (PNG, JPG/JPEG, PDF, TXT, DOCX; up to 10 MB) to generate BPMN from existing artifacts. 

• Smarter connections: When linking tasks to repository objects, get AI-driven suggestions to speed up modelling and improve consistency. 

AI Insights (MCP) 

Purpose: 

• Speak human to your architecture: Ask natural questions and get clear answers grounded in your BlueDolphin data and models.  

• Make EA accessible to everyone: Give non-architect stakeholders instant, contextual insights in plain language, multiplying the impact of the architect’s work.  

• Faster, better-informed decisions: Reduce waiting time for translations and reports by enabling real-time analysis and explanations through the company’s AI chatbot.  

Data usage (AI Insights / MCP ): 

AI Insights connects your BlueDolphin environment to your company’s third-party AI assistant via Model Context Protocol (MCP). When a user asks a question in that chat tool, the user’s prompt and the relevant BlueDolphin context needed to answer it (for example, selected project, Objects and and relationship data returned by BlueDolphin) are shared with the third-party AI tool so it can generate a response grounded in your architecture environment. 

How it helps you:   

• Conversational AI interface: Context-aware Q&A grounded in BlueDolphin models and data.  

• Impact analysis on demand: Surface dependencies, risks, and continuity implications across applications, processes, and capabilities.  

• Role-relevant insights: Tailored outputs for executives, portfolio owners, HR, BCM, operations, and architects, delivered in accessible language.  

• Decision intelligence layer: Connect responses to goals and strategies to bridge strategy-to-execution.  

• Proactive EA enablement: Help architects shift from reactive validators to strategic partners by exposing connections earlier in planning. 

Example questions stakeholders can ask: 

• “Which applications support HR onboarding?”  

• “What happens if this system fails?”  

• “What are the key dependencies and risks for this initiative?” 

Overview of the ValueBlue AI for the Artificial Intelligence Addendum 

The following tools shall be considered ValueBlue AI for the purpose of the AI Addendum: 

1) Knowledge AI Assistant for documentation.  

a) ValueBlue's role under the AI Act: provider.  

b) AI risk qualification: general-purpose AI system (art. 3 sub 66 AI Act), not to be used for prohibited or high-risk practices.  

c) Intended purpose:  

i. Assist users in exploring the functionality of BlueDolphin, explaining the architecture, and answering natural language questions,  

ii. Enable users to find knowledge within BlueDolphin and avoid having to leave BlueDolphin to consult our documentation and  

iii. Facilitates onboarding for all users, extending beyond just architects.  

d) Additional requirements: As the solution utilizes Azure AI models through Microsoft's services, the customer shall comply with Microsoft's Generative AI Services Code of Conduct (https://learn.microsoft.com/en-us/legal/cognitive-services/openai/code-of-conduct).  

2) Process AI Assistant for BPMN.  

a) ValueBlue's role under the AI Act: provider.  

b) AI risk qualification: general-purpose AI system (art. 3 sub 66 AI Act), not to be used for prohibited or high-risk practices.  

c) Intended purpose:  

i. Support non-subject matter experts in understanding and exploring a BPMN process.

ii. Enable the user to find knowledge about BPMN modelling.

iii. Assist the user in easily generating shareable documentation of BPMN processes.  

d) Additional requirements: As the solution utilizes Azure AI models through Microsoft's services, the customer shall comply with Microsoft's Generative AI Services Code of Conduct (https://learn.microsoft.com/en-us/legal/cognitive-services/openai/code-of-conduct).

3) Architecture View AI Assistant.  

a) ValueBlue's role under the AI Act: provider.

b) AI risk qualification: general-purpose AI system (art. 3 sub 66 AI Act), not to be used for prohibited or high-risk practices.

c) Intended purpose:  

i. Support non-subject matter experts in understanding and exploring an Architecture View.

ii. Simplify Architecture exploration by translating complex architecture models into clear insights using natural language.

iii. Quickly generate and share insights from models like application landscapes, process architectures, and solution designs 

d) Additional requirements: As the solution utilizes Azure AI models through Microsoft's services, the customer shall comply with Microsoft's Generative AI Services Code of Conduct (https://learn.microsoft.com/en-us/legal/cognitive-services/openai/code-of-conduct). 

4) Modelling Assistant (BPMN Generator) for BPMN generation.  

a) ValueBlue’s role under the AI Act: provider.  

b) AI risk qualification: general-purpose AI system (art. 3 sub 66 AI Act), not to be used for prohibited or high-risk practices. 

c) Intended purpose:

i) Instantly create BPMN 2.0-compliant process diagrams from a user prompt and/or uploaded supporting documentation. 

ii) Enable non-specialists to participate in process modelling and accelerate process improvement and transformation initiatives. 

iii) Support modelling workflows by suggesting relevant repository objects when connecting tasks to objects.

d) Additional requirements: As the solution utilizes Azure AI models through Microsoft's services, the customer shall comply with Microsoft's Generative AI Services Coden of Conduct (https://learn.microsoft.com/en-us/legal/cognitive-services/openai/code-of-conduct).  

5) AI Insights (MCP) - conversational access to BlueDolphin data via a third-party AI chat tool.  

a) ValueBlue’s role under the AI Act: provider.   

b) AI risk qualification: general-purpose AI system (art. 3 sub 66 AI Act), not to be used for prohibited or high-risk practices. 

c) Intended purpose:  

i) Enable conversational discovery of BlueDolphin content: let users ask natural-language questions and receive answers grounded in their BlueDolphin data and models (e.g., applications, processes, capabilities, dependencies). 

ii) Democratize enterprise architecture across roles: provide easy access to architecture insights for non-architect stakeholders (e.g., business owners, portfolio managers, BCM, HR, executives) without needing to navigate modelling views or terminology. 

iii) Support faster, better-informed decisions and analysis: accelerate impact analysis and understanding of relationships and risks by making architecture knowledge available on demand through the customer’s AI chat tool via MCP.

d) Additional requirements: AI Insights uses Model Context Protocol (MCP) to connect BlueDolphin data to the customer’s AI chatbot. Tools in the MCP can use ValueBlue AI functionality such as the Architecture View AI Assistant and the BPMN Generation AI Assistant. These utilize Azure AI models through Microsoft's services, the customer shall comply with Microsoft's Generative AI Services Coden of Conduct (https://learn.microsoft.com/en-us/legal/cognitive-services/openai/code-of-conduct). 

ValueBlue AI Data usage 

Delivering a seamless, intuitive, and highly efficient user experience requires continuous learning and refinement. By analyzing real-world interactions and user data, we can identify patterns, improve AI accuracy, and develop features that genuinely meet your needs. These insights allow us to make our AI smarter, more responsive, and better tailored to your workflow. Ultimately enhancing the value, you get from our platform. Our commitment is to leverage data responsibly, prioritizing transparency and user control.

Your data helps us improve – but you’re in control 

We understand that privacy is a personal choice, and we are committed to giving you complete control over your data. 

How we protect your data: 

• Opt Out Anytime: We respect your choices. If you prefer not to have your data contribute to AI model training, you can easily opt out through the in-app “Chat with support” system 

• Strict Access Control: Your data is never shared with third parties, and only authorized team members can access it for necessary improvements.  

• Privacy & Compliance First: We adhere to strict internal policies and comply with all relevant data protection laws to safeguard your information. 

Your trust is at the core of everything we do. If you have any questions or concerns, please don’t hesitate to contact our support team through the in-app “Chat with support” system. 

AI FAQ

What are the capabilities of ValueBlue AI? 

See the details in the link to the Overview of the ValueBlue AI below. 

Where is my data processed when using the AI Assistant (data residency)? 

For all BlueDolphin users, the AI Assistant processes data within the same region as their tenant, meaning that EU tenants’ data will stay in the EU and US tenants’ data will stay in the US. However, exceptions may apply for certain features requiring specialized models. Any such exceptions will be clearly communicated in the release notes in advance. 

Does the AI Assistant store or track my questions and answers? 

Yes, ValueBlue stores questions and answers for debugging and analysis purposes. This data is not shared with third parties and is only available to authorized ValueBlue employees.  

How accurate is the AI Assistant? 

While the AI Assistant is developed using reliable information from ValueBlue, it may not always provide 100% accurate results. This is due to a common issue with generative AI models known as “hallucination”, where the system might generate incorrect or misleading information. ValueBlue continuously refines the AI to minimize inaccuracies. 

Users of the AI Assistant are responsible for validating the answers provided. 

The ValueBlue AI Assistant answers are incorrect or misleading. What is going on? 

In an attempt to be helpful, the AI assistant can occasionally produce incorrect or misleading answers. 

This is known as AI hallucination, and it’s a byproduct of some of the current limitations of generative AI models. AI hallucinations are similar to how humans sometimes see figures in the clouds. In the case of AI, these misinterpretations occur due to various factors, including model training data inaccuracies, high model complexity, or incorrect assumptions made by the model. 

When working with the AI Assistant you should not rely solely on it as a singular source of truth. Always review answers given by the AI Assistant. Should you encounter any AI hallucinations, we would gladly receive your feedback through the in-app “Chat with support” system. ValueBlue incorporates feedback and invests in improvements to mitigate such inaccuracies. 

In short, it is the user's responsibility to validate the answer provided by AI. 

What happens if the AI gives an incorrect answer?

Due to the nature of AI, there is no guarantee that all issues or errors reported by users can be fixed individually. However, ValueBlue continuously works to improve the underlying AI model through strict evaluations and updates. To submit feedback, use the in-app “Chat with support” system. 

Can I report a bug or issue with the AI Assistant? 

Yes, you can report any inaccuracies or bugs encountered while using the AI Assistant through our support. Although we cannot promise a fix for every issue, your feedback helps us improve the overall system. To submit feedback, use the in-app “Chat with support” system. 

Will the AI Assistant share my data with third parties?

No, ValueBlue does not share your data with any outside parties, and only authorized ValueBlue employees can access it. 

Do any of the LLM providers store customer data? 

No, none of our LLM providers store the data you submit or the answers you receive. 

Does ValueBlue AI use my data to serve other customers? 

The data you submit and the answers you receive are used only to serve your experience and are not shared between customers. 

Does ValueBlue use my data to train the ValueBlue AI? 

As part of our ongoing commitment to improving the ValueBlue AI, we plan to use customer data to train and fine-tune our models in the future. ValueBlue maintains a strong commitment to safeguarding your data privacy and employs robust measures to protect your information: 

• Opt-Out Available: We understand that not all customers wish to have their data included in model training. You can easily opt out of this process anytime by following this link. 

• No Third-Party Sharing: We do not share your data with outside parties, and only authorized ValueBlue employees can access it. 

• Privacy & Compliance: All data handling follows rigorous internal policies and adheres to applicable data protection laws and regulations. 

Your trust is our priority. If you have further questions or concerns, please contact our support team using the in-app “Chat with support” system. 

How can our organization enable ValueBlue AI? 

The Knowledge AI Assistant is free for all users; for other ValueBlue AI products, contact your Account Manager. 

For details of their capabilities, see Overview of the ValueBlue AI. 

How do I stay informed about ValueBlue AI changes? 

To stay informed about the latest developments and changes to BlueDolphin and the ValueBlue AI, please join our community.