# D3BA: A Tool for Optimizing Business Processes Using Non-Deterministic Planning

arXiv: https://arxiv.org/abs/2001.02619 · HTML: https://mlsanity.com/paper/2001.02619/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Jan 2020.

## Built on by (most cited first, 4 of 4)

- [ProAgent: From Robotic Process Automation to Agentic Process Automation](https://mlsanity.com/paper/2311.10751/) (2023)
- [A Case for Business Process-Specific Foundation Models](https://mlsanity.com/paper/2210.14739/) (2022)
- [A No-Code Low-Code Paradigm for Authoring Business Automations Using Natural Language](https://mlsanity.com/paper/2207.10648/) (2022)
- [TESS: A Multi-intent Parser for Conversational Multi-Agent Systems with Decentralized Natural Language Understanding Models](https://mlsanity.com/paper/2312.11828/) (2023)

## Abstract (arXiv)

This paper builds upon recent work in the declarative design of dialogue agents and proposes an exciting new tool -- D3BA -- Declarative Design for Digital Business Automation, built to optimize business processes using the power of AI planning. The tool provides a powerful framework to build, optimize, and maintain complex business processes and optimize them by composing with services that automate one or more subtasks. We illustrate salient features of this composition technique, compare with other philosophies of composition, and highlight exciting opportunities for research in this emerging field of business process automation.