Innovations: Automating Processes with ILINX Generative AI

Artificial intelligence (AI) is one of those technologies that consumers first become aware of and organizations—especially regulated ones—are eager to build into their roadmaps. Our customer-partners are facing increasing pressure to answer the question “what about AI?” in technology strategy sessions while facing the reality that their organizations feel far from AI-ready.

A Primer on the Two Types of AI

Predictive and analytical AI focuses on analyzing data to forecast future trends and provide insights, aiding decision-making processes. It uses statistical models and machine learning to identify patterns and make predictions based on historical data.

Generative AI, on the other hand, creates new content or data by learning patterns from existing data. It uses models to produce novel outputs that mimic the style and structure of the data it’s trained on. Generative produces content in many formats, including , such as text, images, or music, as well as new workflows or models of physical objects.

If you’ve played around with tools like ChatGPT or DALL∙E, you have experienced generative AI in action. 

ILINX AI – Built for Security, Tailored for Relevance

ILINX AI — Built for Security, Tailored for Relevance

ILINX AI, the artificial intelligence built into the ILINX platform, works on data at rest (stored in a repository such as Content Store) or in motion (already flowing through ILINX workflows).

ILINX AI collects data and funnels it through a machine learning algorithm stored in an IXM (ILINX Extension Module) that processes the data and learns from it. Once trained, ILINX AI can perform tasks like predicting events within a workflow, providing summaries of workflow status, processing unstructured data, and more. 

Many organizations today want to leverage generative AI without the security, privacy, and intellectual property risks of publicly-available AI platforms. ILINX AI solves the challenges by enabling these organizations to establish containerized, in-house AI systems, essentially turning large repositories of privately-controlled content into the building blocks of a large language model (LLM).

Working from this source material, ILINX AI generates relevant results in response to internal users’ prompts. It solves business challenges specific to the organization to enhance processes, reduce errors, accelerate timeframes, and automate tedious manual steps.

Here is an example of how ILINX AI improves a process—in this example, licensing and permitting application approval. Content understanding powerfully enhances workflows, enabling a system to identify missing information, summarize submissions, flag risks, identify next steps, and route appropriately.

By adding AI into existing processes like the above, organizations can reassign employees to higher-value human-in-the-loop steps that deliver more meaningful benefits for customer experiences and satisfaction.

---

ILINX AI makes artificial intelligence practical, accessible, and actionable for organizations in need of secure in-house AI solutions. Let’s collaborate on AI-driven solutions that enhance and improve your organization’s business processes.