Methodology: How This Reference Is Built and Maintained

AgenticSwimlanes.com is an independent, vendor-neutral reference for AI agent workflow diagrams. Two citation disciplines run in parallel: every swimlane on the site references a real, public, named source, and every BPMN-shaped diagram is checked against the OMG BPMN 2.0 specification.

What this site is for

The reader is a process owner, BPMN practitioner, ops architect, or automation lead who needs a credible reference that survives review by a BPMN-aware colleague. The site is built so the answer to “where did you get this diagram?” is always a named source.

The site is not a tutorial for building agents (that is the territory of buildingeffectiveagents.com). It is not a definitional reference for AI agents (that is whatisanaiagent.com). It is not a workforce-impact calculator (that is aijobimpactcalculator.com). It is not the structural / org-chart view (that is agenticorgchart.com).

The citation discipline

Every swimlane on this site references a real, public, named source. The hand-built SVGs cite the source paper, framework documentation, or named case study at first appearance. The BPMN-correct per-process diagrams carry the source citation in the figcaption with the access date. Where the source cannot be verified, the example is excluded from the site.

Source pool used across the site:

• OMG BPMN 2.0 specification. omg.org / spec / BPMN / 2.0 (formal/2014-01-03, accessed April 2026). Normative reference for shape semantics. Adopted as ISO/IEC 19510:2013.
• Anthropic, “Building Effective Agents” (Schluntz, December 2024). anthropic.com / research / building-effective-agents. Source for the workflow-vs-agent distinction.
• LangGraph documentation. langchain-ai.github.io / langgraph. Source for graph-style process flows, the interrupt primitive, and handoff semantics.
• CrewAI documentation. docs.crewai.com. Source for the Task and Process abstractions.
• AutoGen documentation. microsoft.github.io / autogen. Source for conversation-flow diagrams.
• OpenAI Swarm and OpenAI Agents SDK. github.com / openai / swarm and openai.github.io / openai-agents-python. Source for the handoff primitive.
• A2A protocol. google.github.io / A2A (announced April 2025). Source for the cross-vendor handoff wire format.
• Named industry case studies. Klarna AI assistant press release (February 2024); Cisco Webex AI Agent product documentation (2024 to 2025); ServiceNow Now Assist documentation (2024 to 2025); Cognition Devin engineering blog (2024 to 2025); Anthropic customers page (anthropic.com / customers, ongoing).
• Cloud reference architectures. Google Cloud (cloud.google.com / architecture), AWS (docs.aws.amazon.com), Azure (learn.microsoft.com / azure / architecture).

The BPMN 2.0 spec discipline

Every BPMN-shaped diagram on the site uses the correct BPMN 2.0 element per the OMG specification. The diagrams use the canonical visual conventions: bpmn:serviceTask with the gear marker for autonomous agent steps, bpmn:userTask with the person marker for human steps, bpmn:businessRuleTask with the table marker for classification-only steps, bpmn:callActivity with the thicker border for wrapped sub-processes, exclusive gateway as a diamond with the X marker, signal events as double-circle with a triangle marker, sequence flow as solid arrows, message flow as dashed arrows.

Where vendor pages misuse the spec (rendering an autonomous agent step as a generic bpmn:task, for example, or rendering a decision flow as a bpmn:userTask with no human in the loop), the misuse is documented as a counter-example on the BPMN with AI agents page.

What is intentionally excluded

Invented examples (“Acme Corp deployed agent for invoices”). Vendor case studies that do not name a real customer or do not publish a date. BPMN-misusing diagrams shown without the misuse being flagged. AI-generated content farms. Listicle-shaped “top 10 AI agent workflow tools” pages. Predatory framing (“your processes are at risk if you don't deploy agents”).

Visualisation track

Three production tracks. The five canonical pattern diagrams are hand-authored SVG, line-art style, in the site palette. The five per-process diagrams are authored as BPMN-correct SVGs in draw.io BPMN shape language (some hand-built directly when the export tooling is not on the build path). Lightweight per-example diagrams (where they appear) are built with mermaid via mermaid-cli at build time. No client side runtime renderer (no bpmn-js, no runtime mermaid, no react-flow). The accessibility floor: every diagram ships with a figcaption containing the same information in prose form, and every source is named with an access date.

Update cadence

• Quarterly: re-check Anthropic, LangGraph, CrewAI, AutoGen, OpenAI Swarm and Agents SDK for new patterns.
• As-published: add new named industry case studies (Anthropic customers, vendor product docs) as they are published with dates.
• As-revised: check for OMG BPMN 2.x revisions.
• Per-example freshness stamp: each example carries the source publication date and the access date.

Affiliate disclosures

Where the parent (Digital Signet) has an affiliate relationship with a tool named on the tools to build yours page, the relationship is disclosed inline on that page's footer. As of April 2026 there are no active affiliate relationships with the tools listed on this site. Inline body copy on the per-process pages carries no affiliate links.

Author and editor

Authored and maintained by Digital Signet. Corrections welcome via the contact route at digitalsignet.com.

Revision history

• April 2026: initial publication. Eighteen pages, five canonical patterns, five per-process diagrams, twelve cited examples.

Need an independent assessment?

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