Business

HGM Prioritizes Agentic AI and Workflow Orchestration

HandsOn Global Management is targeting agentic AI and orchestrated workflows to help enterprises bridge the gap between isolated technology pilots and full-scale production.

Unite.AI2 days agoBusiness
Image: Unite.AI

HandsOn Global Management (HGM), a technology-focused investment and services firm founded in 2001, is sharpening its focus on agentic AI and orchestrated workflows. According to HGM founder, CEO, and CIO Par Chadha, the next wave of enterprise automation will rely heavily on coordinating complex tasks using a combination of human oversight and autonomous AI agents. Chadha emphasizes that the value of these technologies lies not in the intellectual property itself, but in their ability to solve specific operational problems and generate measurable business revenue.

For practitioners, transitioning from isolated AI pilots to production-scale adoption requires more than just deploying advanced models. Chadha notes that organizational readiness is often the primary bottleneck, as workflows must be fundamentally redesigned to integrate human-in-the-loop systems with agentic AI. This shift is particularly critical in highly regulated sectors like healthcare, financial services, and insurance. In these fields, Chadha argues that accountability serves as the ultimate boundary for delegation, meaning that human judgment must stand behind highly consequential decisions even as AI automates administrative burdens.

The firm is actively applying this philosophy to its healthcare initiatives, which span autonomous medical coding, ambient clinical documentation, and predictive analytics. Rather than introducing isolated applications, HGM aims to embed intelligence directly into existing workflows to connect disparate systems like claims, care management, and billing. Additionally, Chadha highlights how large language models are transforming data mining platforms like Rule14, allowing companies to process and package vast amounts of information at a scale that was previously economically unfeasible.

Looking forward, Chadha warns that the disruption caused by AI will heavily impact the middle layer of the workforce, such as coding, testing, and data analysis, as senior employees leverage automation to increase their individual capacity. He advises founders to focus on building products that integrate deeply into how work gets done while remaining mindful of the cultural and organizational transitions their customers face.

This is our own summary of reporting by Unite.AI

More in Business