This paper introduces Opus, a novel framework for generating and optimizing Workflows tailored to complex Business Process Outsourcing (BPO) use cases, focusing on cost reduction and quality enhancement while adhering to established industry processes and operational constraints. Our approach generates executable Workflows from Intention, defined as the alignment of Client Input, Client Output, and Process Context. These Workflows are represented as Directed Acyclic Graphs (DAGs), with nodes as Tasks consisting of sequences of executable Instructions, including tools and human expert reviews. We adopt a two-phase methodology: Workflow Generation and Workflow Optimization. In the Generation phase, Workflows are generated using a Large Work Model (LWM) informed by a Work Knowledge Graph (WKG) that encodes domain-specific procedural and operational knowledge. In the Optimization phase, Workflows are transformed into Workflow Graphs (WFGs), where optimal Workflows are determined through path optimization. Our experiments demonstrate that state-of-the-art Large Language Models (LLMs) face challenges in reliably retrieving detailed process data as well as generating industry-compliant workflows. The key contributions of this paper include integrating a Work Knowledge Graph (WKG) into a Large Work Model (LWM) to enable the generation of context-aware, semantically aligned, structured and auditable Workflows. It further introduces a two-phase approach that combines Workflow Generation from Intention with graph-based Workflow Optimization. Finally, we present Opus Alpha 1 Large and Opus Alpha 1 Small that outperform state-of-the-art LLMs by 38% and 29% respectively in Workflow Generation for a Medical Coding use case.

D. degree, or a Bachelor's degree with three years of related job experience.

When I started working as a mainframe operator in IT in 1988, I felt like I was part of a secret club. None of my family understood what I was doing; my friends would ask, "what's a mainframe and why do you have to work nights?" My onboarding took months, and a typical workday began with staring at a blank screen. Since mainframes didn't come with a mouse, I would enter memorized commands like " 3.4" and "Sys3.AF*" to navigate the data sets I needed to find. I don't think many workers today would put up with that.

Artificial intelligence today not only plays a huge role in transforming companies and elevating brands, but it also has the potential to solve challenging social problems. Just like Fei Fei Li, a computer science professor at Stanford, said, "I imagine a world in which AI is going to make us work more productively, live longer, and have cleaner energy." Let's look at a few ways Ai is transforming our lives. A good example is Netflix. Netflix's Senior Data Scientist, Mohammad Sabah, stated in 2014: "75 percent of users select movies based on the company's recommendations, and Netflix wants to make that number even higher." AI is currently changing the narrative in the workplace.

Information-technology executives at companies of all kinds in the Drucker Institute's Management Top 250 ranking of the most effectively managed U.S. companies have found ways to incorporate the best strategies from the technology sector to promote innovation, collaboration and new business models. IT executives at companies such as Wal-Mart Stores Inc., WMT 0.01% Procter & Gamble PG -1.26% Co.--both among the 20 companies with the highest scores for innovation--and Capital One Financial Corp. COF 1.28% are taking on a more central role in the business, helping their companies adapt to the digital age. To that end, they're using cloud services and collaborative work models to speed up the development and delivery of technology, automating mundane work processes for employees and embracing cutting-edge technologies that add business value. "We're modeling ourselves off the best technology companies out there," says Rob Alexander, Capital One's chief information officer. "Not legacy tech companies, but companies that have been built in the era of the cloud and the internet."