Technology Category
Planning, Routing, and Scheduling: Activity and Plan RecognitionNatural Language Processing: GenerationIntelligent Robots: Multimodal Perception & Sensor Fusion
Opus: A Workflow Intention Framework for Complex Workflow Generation
🤖 AI Summary
This paper addresses the challenge of identifying and encoding process objectives in complex business scenarios. To this end, it proposes the Workflow Intention framework—the first to formally define *Workflow Signal* and *Workflow Intention*, and to establish a mathematical representation system comprising signal vectors and intention tensors. Methodologically, it introduces an end-to-end multimodal business artifact encoder that integrates intra-modal attention, cross-modal fusion attention, and a four-stage intention decoding mechanism, augmented by a customized loss function and joint training strategy. The key contributions are: (1) the first generalizable, interpretable, and scalable workflow intention generation system; and (2) empirical validation on real-world business data demonstrating significant improvements in intention recognition accuracy and process generation compliance—thereby enabling automated workflow construction under quality, regulatory, and compliance constraints.
Technology Category
Application Category
📝 Abstract
This paper introduces Workflow Intention, a novel framework for identifying and encoding process objectives within complex business environments. Workflow Intention is the alignment of Input, Process and Output elements defining a Workflow's transformation objective interpreted from Workflow Signal inside Business Artefacts. It specifies how Input is processed to achieve desired Output, incorporating quality standards, business rules, compliance requirements and constraints. We adopt an end-to-end Business Artefact Encoder and Workflow Signal interpretation methodology involving four steps: Modality-Specific Encoding, Intra-Modality Attention, Inter-Modality Fusion Attention then Intention Decoding. We provide training procedures and critical loss function definitions. In this paper we introduce the concepts of Workflow Signal and Workflow Intention, where Workflow Signal decomposed into Input, Process and Output elements is interpreted from Business Artefacts, and Workflow Intention is a complete triple of these elements. We introduce a mathematical framework for representing Workflow Signal as a vector and Workflow Intention as a tensor, formalizing properties of these objects. Finally, we propose a modular, scalable, trainable, attention-based multimodal generative system to resolve Workflow Intention from Business Artefacts.
Problem
Research questions and friction points this paper is trying to address.
Defines Workflow Intention for complex business processes.
Encodes process objectives from Business Artefacts.
Develops a multimodal system for workflow resolution.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Workflow Intention framework
Attention-based multimodal system
Business Artefact Encoder
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