Intelligent Bot in Action

Decoding the Future: A Decade of Automation Excellence, GAI Breakthroughs,
and the Quest for Causality and Explainability

Waylay Rules Engine - Our Foundation Model

We have rigorously evaluated various prevalent types of rules engine technologies by subjecting them to comprehensive testing and scoring based on seven crucial capabilities: Modeling complex logic, Modeling time, Modeling uncertainty, Explainability, Adaptability, Operability, and Scalability. Our Rules Engine benchmarks white paper provides a detailed testing benchmark, aiding in the assessment of these core rules engine capabilities. Rules Engine benchmarks white paper.

Towards Building Natural Automation Interface (NAI)

01 | Unleashing the Potential of Generative Artificial Intelligence (GAI)

In the ever-evolving landscape of technology, the integration of artificial intelligence (AI) and machine learning (ML) has significantly transformed various industries. ​Now, a new frontier emerges as Generative Artificial Intelligence (GAI) steps into the spotlight, accompanied by Natural Language Processing (NLP) bots.

This dynamic duo is poised to redefine automation across diverse sectors.

02 | Moving from Low-code Automation to
AI-driven Automation

Within Waylay, developers can craft concise code snippets or leverage existing ones, linking them through logical operators to define intricate automation rules. By interconnecting these rules or embedding one within another, Waylay can facilitate the creation of highly complex automation scenarios.
Now, imagine interacting seamlessly with the automation engine using natural voice or text commands.

03 | Streamlining Human-Guided Solutions with Auditable Precision

Waylay’s rules engine is built on top of causal DAG, where a BN network is abstracted at the level to which humans tend to think about automation problems. This feature enables automation logic to be explainable to humans in a simple and intuitive way. This concept enables the execution of automation scenarios using human language, with built-in auditability for human comprehension during operation.

04 | Natural Automation Interface (NAI),
an interface capable of bidirectional communication.

An interface capable of bidirectional communication is the essence of what we refer to as a Natural Automation Interface (NAI), an interface capable of bidirectional communication. It can be programmed to execute specific automation scenarios using human language and, crucially, allows for the program's audibility by humans once it's in operation.

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