Flowable vs Skan AI
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Flowable compared with Skan AI
| Detail | 
Flowable | 
Skan AI |
|---|
| What it does | The Agentic Case Platform for Regulated Industries
| Not given
|
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| Stage | Established
| Established
|
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| Founded | 2010
| 2020
|
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| Based in | CH
| US
|
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| Pricing model | Contact for pricing
| Contact for pricing
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| Pricing | Not given
| Not given
|
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| Key features | - Agent Orchestration - agents work on real cases with people in the loop
- Policy Controls & Governance - set what agents can and cannot do at runtime
- Observability & Audit Trail - every decision traceable and logged
- Case Management - complex long-running cases with dynamic routing
- Open-Standard Engines - BPMN, CMMN, and DMN
- Enterprise Cloud - secure, scalable cloud deployment
- Human-in-the-loop - people and agents share processes with sign-off
- Seamless integrations with third-party systems via REST APIs
- AI agent integration with OpenAI, Anthropic, Azure AI, AWS Bedrock
| - Context Graph of Work - continuously updated model of how work gets done across enterprises
- Blueprint for AI roadmap planning with defensible ROI recommendations
- Process Intelligence to identify bottlenecks and prioritize automation
- Engineering Intelligence for unified view of developer work
- Work-aware agents grounded in real operational context
- Zero-integration capture across legacy and modern systems
- In-environment processing with data staying in customer perimeter
- Agentic Operating Procedures for governed agent execution
- Audit logs and compliance tracking for every agent decision
- Built on 25B+ events from 500+ observed processes
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| What makes it different | - Purpose-built for regulated industries where every action must be attributable, defensible, and reversible
- Open standards (BPMN, CMMN, DMN) prevent vendor lock-in with transparent, portable processes
- Proven at scale - trusted by 600+ enterprises, processes 1 billion events daily
- Built-in compliance and audit trails for regulated work requiring transparency and accountability
| - Observes actual work at scale across enterprise systems rather than relying on assumptions or documentation
- Delivers AI agents that work in production at scale, not just pilots
- Provides measurable ROI and audit trails for AI spending and decisions
- Privacy-first architecture keeps sensitive data within customer environments
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 61 ● no change since last check | 54 ● no change since last check |
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| Trust Flow (Majestic) | 19 | 14 |
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| Citation Flow (Majestic) | 42 | 38 |
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| Referring domains (Majestic) | 666 | 463 |
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6 details filled in for both companies.
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