AgilePoint Inc., a premier sponsor of the AI Agent Builder Summit hosted by theCUBE Research, is at the forefront of empowering businesses to swiftly operationalize robust, agentic workflows across various vendors and platforms.

The rapidly evolving field of agentic AI is driving a paradigm shift in how enterprises approach automation and orchestration. At the heart of this transformation lies the concept of “holistic abstraction,” which enables businesses to achieve resilience and agility by orchestrating complex workflows without traditional coding constraints.

“If you really want to overcome the ROI challenges for AI initiatives, the prime candidate is operationalizing agentic AI for your end-to-end business orchestration,” said Jesse Shiah (pictured, right), co-founder and chief executive officer of AgilePoint.

Shiah recent spoke with me prior to the AI Agent Builder Summit, set for April 16. We discussed how this approach simplifies business operations by creating a unified, adaptable layer that connects existing technologies and evolving business requirements. (* Disclosure below.)

Agentic workflows: Harnessing holistic abstraction in agentic AI

AgilePoint’s holistic abstraction offers an innovative way to seamlessly integrate various technological stacks without the need for constant recoding, significantly boosting the resilience and agility of business processes. This approach guarantees that workflows remain adaptable in real-time without disrupting existing infrastructure.

“When we founded AgilePoint, we knew we were going to be ahead of the market because this holistic abstraction simplifies so much complexity,” Shiah said.

This powerful concept enables business users to rapidly adapt workflows and integrate AI-driven decisions directly into their operations. Moreover, Shiah emphasizes the critical role of closed-loop optimization. This capability allows agentic systems to dynamically adapt workflows by learning and applying context-specific knowledge without requiring constant code generation or modifications.

“Closed-loop optimization is really the key critical capability to realize the vision of autonomous business,” Shiah added. “The abstraction we provide harmonizes data and business logic into a unified language, enhancing interoperability and enabling trust in dynamic AI-driven workflows.”

As businesses increasingly seek to implement AI solutions, AgilePoint’s model-driven, composable architecture uniquely positions it to address common enterprise challenges, such as siloed data systems and complex legacy infrastructures. The company’s solutions demonstrate that operationalizing AI through abstraction can significantly enhance the efficiency, adaptability and trustworthiness of enterprise processes, ultimately accelerating the realization of tangible ROI.

Here’s theCUBE’s complete video interview with Jesse Shiah:

Don’t miss theCUBE Research’s exclusive AI Agent Builder Summit on April 16.

(* Disclosure: AgilePoint Inc. sponsored this segment of theCUBE. Neither AgilePoint nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE