Case Study · Swagelok Southeast Texas

How Swagelok Southeast Texas Automated Order Processing with Agentic AI

Challenge: Swagelok Southeast Texas (SST) struggled with a slow, error-prone manual order processing system. Customer service representatives (CSRs) spent excessive time on data entry, hindering their ability to focus on customer relationships and business growth. Previous automation attempts failed to integrate effectively with existing systems, leaving SST with inefficient processes and inadequate order processing speeds, making the goal of handling orders within five hours unattainable.

Solution: SST partnered with Karini AI to implement a generative AI-driven solution, utilizing agentic workflows and AWS tools like Amazon Bedrock. The no-code platform was deployed in just 18 days and automated 97% of the order processing, eliminating manual data entry and improving system accuracy. The solution integrated seamlessly with SST's existing tools, allowing CSRs to focus on high-value activities such as building customer relationships and upselling.

Impact: The GenAI solution delivered a 1,544% ROI and reduced operational costs by over $1 million annually. The payback period was an impressive 20 days, a process that traditionally takes months.

Peter Hory, CFO and CIO of Swagelok Southeast Texas, emphasizes:

"The speed at which we saw ROI was incredible. Our investment was paid back in just 20 days, something that typically takes months with traditional systems integration projects."

"The biggest benefit was how quickly our team adapted. In just four hours, our business users were proficient with the system, and now they're focused on what really matters, building stronger relationships with our customers."