Operationalizing GenAI: Scaling AI Agents Across the Enterprise
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 technologies across the entire business.
But it doesn’t need to be that complex. Your focus isn’t probably on building GenAI tools from scratch—it’s on leveraging them to enhance your operations. The key to unlocking GenAI’s full potential lies in the industrialization of Enterprise AI Agents. This means combining the scalability, governance, and operating models already established in your automation programs with the advanced capabilities demonstrated in your GenAI pilots.
To achieve meaningful transformation, enterprises need platforms built for scalability—both in technology and in the skills required to deploy and manage them. Platforms like Sema4.ai and upcoming solutions like Microsoft’s (expected later in 2024) enable the industrialization of AI agent deployment, offering broad use cases and real impact similar to GenAI, but with the scalability of traditional RPA programs.
What to Look for in an Enterprise AI Agent Platform
• Business User-Friendly: Agents should be easily configured in plain English by business users—no specialized coding skills required.
• Enterprise Integration: The platform must seamlessly connect to your enterprise applications, data, and legacy systems, providing full context awareness for the agents.
• Autonomous Operation: Agents should operate 24/7, improving over time without constant human oversight.
• Security: The platform must ensure enterprise-grade cybersecurity, with data securely handled within your own VPC.
• Transparency: Agents should offer full visibility into their actions and reasoning, ensuring compliance and auditability.
The future of GenAI isn’t in isolated pilots—it’s in the large-scale deployment of AI agents delivering continuous, real-world value. It’s time to move from experimentation to full-scale transformation with AI agents that drive your enterprise forward.
This “Shorts” series is designed to explore critical concepts around Enterprise AI Agents in detail as we continue answering your questions on AI Agents.