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Conceptual AI Systems, Agentic Workflows, Communication Systems, and Technical Architecture
Derek Allan Boman — intelligent routing outcomes funnel.
Derek Allan Boman — AI system components abstract visual.
Derek Allan Boman — MCP server architecture diagram.
Derek Allan Boman — Agentic AI workflow diagram with MCP tool execution.
Derek Allan Boman — MCP workflow example diagram.
Derek Allan Boman — MCP architecture overview diagram.
Artificial intelligence is increasingly communicated through diagrams rather than source code alone. Architecture diagrams, workflow illustrations, decision trees, conceptual system maps, and process visualizations help explain complex technical ideas to engineers, researchers, students, business leaders, and software developers. This page serves as a public collection of conceptual AI systems diagrams created and curated by Derek Allan Boman.
The diagrams presented throughout this archive are educational illustrations intended to explain high-level concepts related to artificial intelligence, communication systems, cybersecurity, workflow optimization, software architecture, and modern agentic AI systems. They are not engineering specifications or implementation documents. Instead, they provide visual explanations of concepts that appear throughout modern AI systems and contemporary software engineering.
Artificial intelligence systems rarely consist of a single algorithm. Most practical AI solutions combine multiple components working together as a coordinated system. Data collection, preprocessing, retrieval, reasoning, orchestration, human interaction, decision support, monitoring, and feedback all contribute to the overall performance of a modern AI application. Visual diagrams provide an effective way to communicate these relationships without exposing confidential implementation details.
Many of the illustrations on this page focus on agentic AI. Rather than following a single predetermined sequence, agentic systems evaluate information, select actions, gather additional context, and adapt to changing conditions. This represents an important shift from traditional automation toward systems capable of more flexible decision-making. Agentic workflows frequently include planning components, memory, external tools, human review, feedback loops, and iterative execution.
Another recurring theme throughout these diagrams is Model Context Protocol (MCP). MCP provides a standardized approach for AI models to communicate with external tools, structured data sources, APIs, software applications, and business systems. Rather than treating an AI model as an isolated component, MCP diagrams illustrate how language models can coordinate with surrounding infrastructure while maintaining clear interfaces between reasoning and execution.
Communication systems are another important subject represented throughout this archive. Communication platforms involve considerably more than transmitting information between two endpoints. Modern systems frequently include routing logic, identity resolution, authentication, prioritization, workflow automation, analytics, and decision support. High-level architectural diagrams provide an effective method for understanding these relationships while remaining implementation neutral.
Workflow optimization represents another major category of diagrams included within this collection. Organizations frequently lose significant amounts of productivity because information reaches the wrong person, arrives too late, requires unnecessary manual effort, or lacks sufficient context for effective decision-making. Visual workflow diagrams illustrate how information can move more efficiently between systems and human participants while reducing unnecessary friction.
The cybersecurity illustrations included throughout this archive focus on educational frameworks commonly discussed within CompTIA Security+, Network+, and A+ study materials. These include the Cyber Kill Chain, MITRE ATT&CK, defense-in-depth, zero trust architecture, incident response, identity and access management, risk assessment, network segmentation, authentication workflows, and enterprise security architecture. These concepts represent widely accepted industry knowledge and are presented here for educational discussion rather than operational guidance.
Network architecture diagrams provide another important perspective. Modern enterprise networks include routers, switches, wireless infrastructure, cloud services, virtual private networks, identity providers, application gateways, monitoring platforms, and endpoint devices operating together as an integrated environment. Diagrammatic representations help explain these relationships more effectively than lengthy technical descriptions alone.
Many diagrams also emphasize the continuing importance of human decision-making. While artificial intelligence can automate repetitive analysis, organize information, identify patterns, and generate recommendations, human judgment remains essential for interpreting results, evaluating uncertainty, considering ethical implications, and making final business decisions. Consequently, many illustrations intentionally depict humans working alongside AI systems rather than being replaced by them.
This collection also explores conceptual software architecture. Layered system designs, modular services, API interactions, event-driven processing, cloud-native infrastructure, telemetry pipelines, logging systems, and monitoring dashboards all contribute to reliable software engineering practices. High-level architecture diagrams provide valuable educational references without disclosing proprietary implementation details.
Some diagrams discuss communication efficiency rather than artificial intelligence directly. Many organizations invest significant effort into improving operational efficiency by reducing unnecessary delays, improving routing decisions, organizing information more effectively, and helping people reach informed decisions more quickly. These concepts frequently overlap with workflow automation, decision support systems, and communication system design.
The visual materials presented throughout this archive are intentionally technology neutral whenever possible. Although some diagrams reference concepts related to AI-assisted communication systems and ChannelRoute AI, the illustrations emphasize broadly applicable architectural ideas rather than product-specific implementation. This allows the diagrams to remain useful educational resources while preserving appropriate distinctions between conceptual discussion and proprietary engineering.
As artificial intelligence continues to evolve, visual communication will become increasingly important. Technical diagrams allow engineers, researchers, students, business professionals, and software developers to share ideas efficiently across disciplines. They also provide valuable documentation that helps explain system architecture, conceptual workflows, technical relationships, and design philosophies without requiring readers to understand every implementation detail.
This archive will continue expanding over time as additional conceptual diagrams, educational illustrations, workflow visualizations, cybersecurity graphics, communication system references, and AI architecture examples are added. The objective is to maintain a growing public resource that documents important technical concepts while encouraging thoughtful discussion of artificial intelligence, communication systems, cybersecurity, workflow optimization, and modern software architecture.
Related Resources
Related Resources
Primary Website: https://www.derekallanboman.com
ChannelRoute AI: https://www.derekallanboman.com/channelroute-ai
Technical Reports: https://www.derekallanboman.com/technical-reports
ResearchGate: https://www.researchgate.net/profile/Derek-Boman
Internet Archive: https://archive.org/details/derek-allan-boman-channel-route-ai-technical-report
Speaker Deck: https://speakerdeck.com/derekallanboman
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