Glossary - AI Taxonomy

BlueCallom Glossary & AI Taxonomy

Our technology is new and so is our language

Glossary & AI Taxonomy

Glossary Introduction

Here you find parts of our Taxonomy framework and the beginning of building our own content model for AI to use in chatbots, intelligent response systems, and more.

1. Core Category:

1.1 Enterprise AI

Intent: Understanding BlueCallom’s core identity.

Q: What is Enterprise AI?
A: Enterprise AI is the application of multi-agent intelligence to optimize and transform enterprise workflows, decision-making, and innovation. At BlueCallom, Enterprise AI is the overarching category uniting our Agentic AI, Enterprise Workflow Intelligence, and Human Intelligence Augmentation.
Q: How is BlueCallom different from other AI companies?
A: Unlike companies that add AI features to their conventional software, BlueCallom was developed from the ground up as a Native AI Architecture and invented the “Intelligence over Code” model where intelligence dominates the flow of a solution and not a stuff and predefined code-based process.

2. Pillars

2.1 Enterprise AI Solution

Q: What defines an Enterprise AI Solution?
A: Enterprises are looking for strategic, holistic, manageable, enterprise-wide business solutions. An “Enterprise AI Solution” consists of at least an Enterprise AI Platform, Enterprise-grade AI Applications, a Network technology to integrate departments and partners, and a business model that outlines its economics. Enterprise AI Solutions should also indicate how it scales, is serviced, and is supported.

2.2 Enterprise AI Applications

Q: What is an Enterprise AI Application?
A: Enterprises are looking for strategic enterprisewide applications that can be used by multiple teams and enhance the human capability through an AI in the background, not isolated tools, bots or agents. An Enterprise AI Application can be an end-to-end sales workflow, or an innovation management application, an application for R&D or Innovation, uite is a comprehensive set of applications and functionality that users across the enterprise can use to increase productivity and extend competitive advantages.
Q: What types of solutions are included in an Enterprise AI Solution suite?
A: Enterprise AI Solution suites typically include solutions that help Sales, Marketing, Product Management, HR, Innovation Teams, R&D, Finance and others to get to Operational Excellence, increase productivity, improve employee satisfaction, and generate competitive advantages.

Q: What skills are needed to use and manage enterprise AI solutions?
A: IT managers with some base Agentic-AI knowledge may take a one-week training or equivalent education to manage Enterprise AI solutions and learn about methods that may be provided, like the Deep Innovation Design method for innovation teams.
Typical computer users may want to participate in a one-day training or equivalent online education to understand how to use Enterprise AI Solutions and leverage their specific advantages.

2.3 Enterprise AI Platform

Q: What should an Enterprise AI Infrastructure include?
A: A well-designed Enterprise AI Infrastructure technology is necessary to enable many employees from many different departments, business units, or countries to collaborate, share knowledge, provide a homogeneous operational excellence goal, and provide information to management.
Q: What Enterprise AI Infrastructure is provided by BlueCallom?
A: BlueCallom currently has the most advanced Enterprise AI Infrastructure Technology and several unique inventions to make the management of complex and rapidly changing workflows possible. The infrastructure supports a flexible way to setup the current organization structure including their users, managers and external stakeholders with their respective roles. It provides productivity measurement capabilities, gamification, rapid setup capabilities, integration of several different Enterprise AI solutions, a unique pay per use model and more.
Q: What skills are needed to manage an Enterprise AI Infrastructure?
A: IT managers with some base Agentic-AI knowledge may take a three to five-day training or equivalent education to manage Enterprise AI Infrastructure.

2.4 Enterprise AI Network (EAN)

Q: What is an Enterprise AI Network?
A: The Enterprise AI Network allows building clusters of intelligent agents to communicate across silos. Connected AI means ‘Induced Productivity,’ and employees have a near-zero need for learning something entirely new. Connecting interdisciplinary workflows is finally a reality.
Q: What skills are needed to manage an enterprise AI network?
A: IT managers with some base AI knowledge may take a two day training or equivalent education to manage Enterprise AI networks.

Q: What skills are needed to manage an enterprise AI network?
A: IT managers with some base AI knowledge may take a two day training or equivalent education to manage Enterprise AI networks.

2.5 Enterprise AI Economic

Q: What is Enterprise AI Economics?
A: The Enterprise AI economics talks about measurability, productivity, ROI, and manageability of Enterprise AI. A first step was to classify Digital AI Assets (AI Assets) so that distinct asset values could be differentiated by Digital AI asset classes, e.g., Prompts, Agents, Applications, and Libraries. An Enterprise AI Platform must be capable of exposing key economic data of all its AI Assets.

3. AI Structures

3.1 Various AI Structures

3.1.1 Generative AI

Q: What is Generative AI?
A: Generative AI is base principle where content is intelligently ‘generated’ based on a prompt request and then looking for a meaningful answer.
Q: Is Generative AI still important?
A: Yes, it is the foundation Agentic AI is build from and even native AI is based on the Generative AI Foundation.

3.1.2 Agentic AI

Q: What is Agentic AI?
A: Agentic AI is the collaboration of autonomous AI agents that coordinate enterprise processes. At BlueCallom, Agentic AI runs multi-agent clusters that act like a “boardroom of digital executives.”
Q: Why is Agentic AI important for enterprises?
A: It allows organizations to delegate complex workflows to specialized agents, increasing speed, consistency, and scalability.
Read more about Agentic AI

3.1.3 Nativ AI

Q: What is Native AI?
A: Native AI is agentic and based on Generative AI mechanisms. While Agents are typically programmed in Python or any other conventional programming language, Native AI interacts directly with the LLM and not via Requests decided by fixed code. Native AI is not a “No-Code” system. Code is used in many cases to interact with external systems.

3.1.4 Intelligence over Code (IoC)

Q: What does Intelligence over Code mean?
A: IoC is BlueCallom’s method of building AI solutions using natural language BluePrompts instead of traditional programming. The key to IoC is that all workflows and processes are managed by the LLM interaction, not by linear code.
Q: Are BluePrompts comparable with ChatGPT prompts?
A: BluePrompts are not comparable with ChatGPT prompts, even though the core of a BluePrompt is similar. BluePromts are highly augmented systems and understand their available functions, models, API access, database access, and more.
Q: What is the benefit of IoC?
A: It accelerates solution development to “AI speed,” allows solutions to be run under intelligent control and not with predefined coded processes, and empowers enterprises to align workflows intelligently without coding bottlenecks.

3.1.5 Difference between Enterprise AI and Conventional Software.

Q: What changes with Enterprise AI?
A: Adaptive WORKFLOWS instead of stiff PROCESSES
Rich INFORMATION instead of simple DATA
INTELLIGENCE instead of pre-defined SOFTWARE code
AUTONOMOUS execution instead of fixed AUTOMATION
Human INTERACTION instead of human ADMINISTRATION
Q: How does IT change?
A: IT teams would need to learn the concepts of Agentic AI, how to manage AI Assets, how to provide access to existing data, how intelligent workflows augment conventional processes, how to manage and monitor autonomous intelligence, and how to support users who interact with AI.

3.2 Enterprise AI Workflow

Q: What is an Enterprise AI Workflow?
A: An Enterprise AI Workflow is typically what we call a business process. A process, however, is a fixed set of rules for performing a specific task as exactly as possible. Yet, the way we do business is increasingly agile, responding to change quickly and enabling more dynamic customer interactions. Therefor its a “FLOW” and no longer a stiff “PROCESS.

3.2.1 Enterprise Workflow Intelligence (EWI)

Q: What is Enterprise Workflow Intelligence?
A: EWI is BlueCallom’s intelligent orchestration layer. It integrates with ERP, CRM, and HR systems to optimize workflows, leverage existing data, and automate decision-making.
Q: How does EWI work with SAP or Salesforce?
A: EWI sits as an intelligent layer on top, elevating CRM or ERP systems to interactive solutions without replacing them.

3.2.2 Enterprise Intelligence Layer

Q: What is the Enterprise Intelligence Layer?
A: It is the “AI brain” BlueCallom provides on top of existing enterprise IT systems, connecting data silos and orchestrating workflows intelligently.

3.3 Digital AI Assets

Q: What are Digital AI Assets?
A: They are enterprise-owned AI models, agents, and datasets — intellectual capital that grows in value over time.

3.4 SynthoDidact Learning

Q: What is SynthoDidact Learning?
A: It is a new learning paradigm combining synthetic intelligence with didactic principles, pioneered by BlueCallom to accelerate enterprise education.

3.4 AI-Augmented Decision-Making

Q: How does AI support executive decision-making?
A: BlueCallom agents provide predictive, context-rich recommendations, giving leaders “decision intelligence” beyond human capability alone.

4. Applied Enterprise AI Use Cases

4.1 Marketing Use Cases with Enterprise AI

4.1.1 AI-Powered Go-to-Market

Q: How can BlueCallom support my go-to-market strategy?
A: Our AI agents analyze markets, competitors, and customer signals to recommend GTM strategies and sales plays at scale.

4.2 Marketing Use Cases with Enterprise AI

4.2.1 AI-Driven R&D Acceleration

Q: Can AI really accelerate R&D?
A: Yes — BlueCallom agents manage idea pipelines, validate concepts, and reduce time-to-market by simulating outcomes.

4.3 HR Use Cases with Enterprise AI

4.3.1 AI-Enhanced HR & Workforce Intelligence

Q: How does AI help in HR?
A: By mapping employee knowledge, suggesting learning paths, and optimizing talent allocation.

4.4 Sales Use Cases with Enterprise AI

4.4.1 Accelerated Sales with Enterprise AI

Q: How does BlueCallom improve sales performance?
A: AI agents generate account insights, optimize campaigns, and tailor interactions — giving sales teams actionable intelligence in real time.

4.4.2 Customer Care with Enterprise AI

Q: How does AI improve customer care?
A: BlueCallom conversational agents provide proactive, predictive support, elevating customer experience while reducing support costs.

5. Social AI Alignment

5.1 Future of Work

5.1.1 How employees will work with AI

Q: Will AI replace jobs?
A: AI is not replacing jobs, but people who use AI will advance much further, and that competition hits those who are not willing to adapt. Around 1500, the printing press democratized access to knowledge, giving those who learned to read a significant advantage over those who could not.
Q: What is the exact advantage of AI for employees?
A: The most significant advantage for employees is that AI-based workflows take those jobs that are either very complex or just simple repetitive routines, freeing up time for tasks where human talents like empathy, ingenuity, creativity, social sensitivity, intuition, and many other soft skills, play a key role.

5.1.2 Human Job Protection

Q: How does BlueCallom protect existing jobs that could be completely taken over by AI?
A: Protecting jobs that are no longer needed has never worked and only prolonged the frustration. Instead, BlueCallom leverages AI to identify new job opportunities within the company, in case a job no longer warrants human engagement. Moreover, with our initiative, “Do more with what you have,” we help businesses leverage AI even further for growth, market expansion, innovation, and more, thereby advancing as a company without needing to let people go.

6. Philosophical Anchors

6.1 Customer Co-Creation in AI

Q: What role do customers play in BlueCallom’s AI solutions?
A: Our customers actively shape features, frameworks, and workflows — making them co-creators of Enterprise AI.

6.2 Human Intelligence Augmentation (HIA)

Q: What is HIA?
A: Human Intelligence Augmentation is BlueCallom’s principle of enhancing human creativity and decision-making with AI, rather than replacing people.

Q: Why HIA and not just AI?
A: Because the future of enterprises is human-AI synergy, not human replacement.
Q: Where is the term coming from
A: Coined by Douglas Engelbart in 1962, this was the dream that AI would augment human intelligence, not replace it. It became BlueCallom’s mission to build HIA technology in a way that augments human intelligence, intuition, and sensitivity with Agentic AI.

6.3 Overarching AI Risk Consideration

Today, Agentic AI has already outpaced human intelligence in many ways. But human and AI together, they will always be stronger than any of them alone.