ENTERPRISE AGENTIC AI

Enterprise agentic AI platforms are software platforms that help organizations quickly and easily design, test, and deploy custom generative AI agents and applications. Uniquely, Vertesia is a unified, low-code AI platform that not only speeds development and testing but also provides a full runtime operating environment for generative AI agents and apps.

The use cases for agentic AI are virtually unlimited and vary dramatically across different functions and industries. Some common examples include automatic first notice of loss in insurance, M&A deal room analysis in investment banking, and customer onboarding in commercial banking. In logistics and manufacturing, companies are using agentic AI to process bills of lading and to optimize their supply chains. Retailers and consumer product companies are revolutionizing digital asset management, automating marketing content generation, and hyper-personalizing customer experiences. Agentic AI is also being used to automate routine tasks and activities across finance, HR, engineering, marketing, sales, and other core functions.

Because the opportunity for agentic AI is so ubiquitous, we believe that our customers will only realize the true potential of agentic AI when they can easily and repeatedly transform all of their business processes with agentic automation. 

It depends. For companies that elect to build their own infrastructures and have taken a one-off approach to building AI agents and apps, it can commonly take more than six months to develop, test, and implement a generative AI solution. And many of these agents and apps will get stuck in experimentation, never making it to full production. 

For companies that employ an enterprise agentic AI platform and a standardized, repeatable approach for deploying generative AI agents and apps, this timeframe can be dramatically accelerated. Vertesia customers commonly develop, test, and deploy new agentic AI apps in a few short weeks. 

Let’s look at this from both a technical and business perspective.

First, from a technical perspective, agentic AI apps and agents are typically services that can be called from any existing workflow, process, or enterprise application. A unique aspect of the Vertesia platform is that it is API-first, which means that any task, prompt, or project built with Vertesia is automatically assigned a unique REST API endpoint for ease of integration.  

Again, potential agentic AI use cases are virtually limitless. Therefore, from a business point of view, we find that it is critical for customers to identify high-value use cases – typically those involving core business processes – that are well-suited for agentic AI solutions. This can be difficult for some organizations who have limited experience with AI solutions. This is why we offer a free, interactive workshop to help customers quickly identify ideal use cases and begin working with this powerful technology today. 

Cost is dependent on your approach. For companies that elect to build their own infrastructure or choose to outsource agentic AI solution development, the costs can run into hundreds of thousands of dollars per solution. 

For companies that choose an enterprise agentic AI platform, the cost is much, much less. Typically, we find that Vertesia customers can deploy new agentic AI apps and agents more than 10x faster than with homegrown solutions and, not surprisingly, at less than 1/10th the cost. 

Like other enterprise software and SaaS solutions, enterprise agentic AI platforms are extremely secure. For example, Vertesia is fully SOC2 Type II-certified, which means that we maintain the highest operating standards for security and availability. Vertesia also supports a number of data privacy standards – like HIPPA, GDPR, and CCPA – ensuring that private patient or customer information remains that way. Our platform runs on leading Cloud providers, like AWS, Google Cloud, and Azure – some of the most secure organizations in the world – and can also be deployed in customers’ VPCs or data centers. 

Lastly, it is important to know that Vertesia is not a model provider. We have no models to train and, therefore, we have no need for your data. We also make use of state-of-the-art models from leading inference providers and, contrary to popular myth, these models cannot be trained using customer data.