AI Agents are typically multi-LLM constructs that access APIs to perform tasks assigned to them via prompts. The scope of what an AI Agent can, should, and should not do is governed at five levels: The LLM’s inherent guardrails and safety mechanisms The role and runbook of the Agent The knowledge files provided to the…

Kickstart Your Enterprise AI Agent Journey in Just 30 Days The Sema4.ai Rapid Agent Deployment (RAD) program delivered by Digital Workforce is a fast, standardized and high-impact way to bring an enterprise-grade AI Agent into your organization’s real-world production environment within just 30 days. Unlike the costly, lengthy transformations pushed by big consulting firms, RAD…

As enterprises gain experience with Generative AI (GenAI), many struggle to scale beyond initial pilots. While approaches like Retrieval-Augmented Generation (RAG) and fine-tuning large language models can show early promise, they often require significant resources and specialized expertise, both of which are in short supply. For many organizations, the real challenge lies in operationalizing these…

In a rapidly evolving business landscape, enterprises are increasingly turning to AI agents to automate complex processes and improve efficiency. This “Shorts” series is designed to explore critical concepts around Enterprise AI Agents in detail as we continue answering your questions on AI Agents.   Let’s start by breaking down the elements and defining an…

In today’s fast-paced digital landscape, enterprises face mounting challenges in streamlining operations. As businesses strive for more efficient processes, the need for multiple automation technologies to work in harmony has become increasingly evident. Enter Business Orchestration and Automation Technologies (BOAT) — a concept introduced by Gartner that consolidates key automation technologies into a unified platform.…

AI Agents – Is the Future of Automation Becoming Real? As businesses evolve in the digital age, the rise of AI Agents is set to revolutionize how work is done. But what exactly are AI agents, and how do they differ from other automation technologies that enterprises have used for years, such as Robotic Process…

To realize the full potential of Enterprise AI Agents, you need more than just a successful pilot. Building an operating model that allows you to scale effectively is essential. Here are the key components to consider: Agent Strategy Define the Vision: Start by articulating a clear vision for how AI Agents will fit into your…

Having grasped AI agents’ transformative potential, the next step is moving from understanding to action. To prove the value of this technology quickly and set the stage for scaling, it’s crucial to start with the right use case and build a solid foundation for your AI Agent operating model. This blog post will help you…