Comparison

aiprocess.design vs Dragon1, side by side

Dragon1 is an enterprise architecture platform with a long track record: ArchiMate, BPMN, UML and TOGAF models, blueprints and roadmaps linked to real-time KPIs, and generative AI that drafts viewpoints from text or strategy documents. If your job is the architecture of the whole enterprise, that is the right altitude. This page is about a lower one: what do you use when the deliverable is one process redesigned for humans and AI agents, with oversight and a number in your currency?

The difference in one sentence

Dragon1 models and simulates the enterprise so leaders can decide where to change; aiprocess.design designs the change inside one process, step by step, with the agents, the controls, the law and the money on the same canvas. One is the map of the territory; the other is the work order for one street.

	Dragon1	aiprocess.design
Core purpose	Enterprise architecture and decision-intelligence platform: blueprints, capability maps, process landscapes, roadmaps, KPI dashboards	Design studio for one business process at a time, where humans and AI agents share the work
Level of the model	Enterprise: business, application and technology layers in ArchiMate, BPMN, UML and TOGAF, linked to real-time data	Process: steps, decisions, hand-offs, data and controls on one swim-lane canvas, per executor
Generative AI	AI ArchiMate, AI BPMN, AI UML, AI TOGAF: draft viewpoints and models from text, strategy documents or notes, grounded in the repository; as-is versus to-be comparison and an auto roadmap	Eight doors in: text, drawing, interview, photos, a dossier of up to three PDFs with page-level provenance, meeting transcripts, BPMN import, records (CSV or XLSX); then an agentic to-be that questions every step
AI agents in the design	AI touchpoints and automated agents mapped as elements of the application and technology landscape	Each step typed as human, hybrid or AI agent with autonomy level, model tier, preventive, detective and corrective controls, human gates and build specs
Regulation	Regulatory requirements (GDPR, ISO, NIS2, DORA) mapped to architecture elements; non-compliant elements can be flagged	Advisors that read the process design step by step against the EU AI Act, GDPR, NIS2, DORA and ISO 42001, citing the article, with one-click fixes
Money	TCO, cost and risk heatmaps, scenario simulation at portfolio level	A business case in your currency per redesign: hours saved versus live AI model prices, payback month, 12-month curve and what-if sliders
Implementation handoff	Roadmaps, project maps, dashboards for CIOs and architects	Micro-task blueprints per step, per-agent specs, a delivery board, BPMN 2.0, PDF and PPTX
Who it is for	Enterprise architects, CIOs, CTOs and transformation offices	Consultants and operations teams redesigning the work itself, this week

Dragon1

aiprocess.design

Core purpose

Enterprise architecture and decision-intelligence platform: blueprints, capability maps, process landscapes, roadmaps, KPI dashboards

Design studio for one business process at a time, where humans and AI agents share the work

Level of the model

Enterprise: business, application and technology layers in ArchiMate, BPMN, UML and TOGAF, linked to real-time data

Process: steps, decisions, hand-offs, data and controls on one swim-lane canvas, per executor

Generative AI

AI ArchiMate, AI BPMN, AI UML, AI TOGAF: draft viewpoints and models from text, strategy documents or notes, grounded in the repository; as-is versus to-be comparison and an auto roadmap

Eight doors in: text, drawing, interview, photos, a dossier of up to three PDFs with page-level provenance, meeting transcripts, BPMN import, records (CSV or XLSX); then an agentic to-be that questions every step

AI agents in the design

AI touchpoints and automated agents mapped as elements of the application and technology landscape

Each step typed as human, hybrid or AI agent with autonomy level, model tier, preventive, detective and corrective controls, human gates and build specs

Regulation

Regulatory requirements (GDPR, ISO, NIS2, DORA) mapped to architecture elements; non-compliant elements can be flagged

Advisors that read the process design step by step against the EU AI Act, GDPR, NIS2, DORA and ISO 42001, citing the article, with one-click fixes

Money

TCO, cost and risk heatmaps, scenario simulation at portfolio level

A business case in your currency per redesign: hours saved versus live AI model prices, payback month, 12-month curve and what-if sliders

Implementation handoff

Roadmaps, project maps, dashboards for CIOs and architects

Micro-task blueprints per step, per-agent specs, a delivery board, BPMN 2.0, PDF and PPTX

Who it is for

Enterprise architects, CIOs, CTOs and transformation offices

Consultants and operations teams redesigning the work itself, this week

Frequently asked questions

Is aiprocess.design a Dragon1 alternative?

No. Dragon1 works at the level of the whole enterprise: architecture blueprints, application landscapes, roadmaps and KPI dashboards fed by your data, used by architects and CIOs. aiprocess.design works at the level of one process: how the work is done today, how it should be done once AI agents join, under which controls, and what that is worth. Different altitude, different job.

Both generate models from documents. What is the difference?

Dragon1 generates architecture viewpoints and BPMN models from text or strategy documents, grounded in its repository, and compares as-is and to-be at architecture level. aiprocess.design reads a dossier of PDFs as evidence for one process: it screens the documents for the processes they describe, draws the as-is with a page reference on every step and declares contradictions between documents, then designs the to-be with each step typed as human, hybrid or agent, and prices it.

Can they work together?

Naturally. Keep the enterprise landscape, roadmap and dashboards in Dragon1; when a specific process is being redesigned for AI agents, design it here and export the BPMN 2.0 back into the landscape, with the agent specs and the business case attached.

aiprocess.design vs Dragon1, side by side

The difference in one sentence

Frequently asked questions

Design one process for humans and agents this week