DIrector of Technology
Terry Camerlengo is the Director of Technology at Wellpointe Inc., where he leads Wellpointe Labs and spearheads the organization’s strategic innovation initiatives. With over 25 years of experience across software engineering, cloud architecture, and healthcare analytics, Terry is dedicated to leveraging technology to transform the landscape of residential assisted living and aging. Terry’s career is defined by his ability to navigate complex, computationally intensive environments to solve real-world problems. Terry spent over six years at Nationwide Financial. During his tenure, he automated large-scale big data pipelines and served on an AI-focused innovation team, utilizing machine learning and Natural Language Processing (NLP) to drive business intelligence. Prior to his work in finance, Terry served as a Principal Scientist at Battelle and at The Ohio State University's Cancer Center, where he led high-impact projects in bio-medical informatics and clinical predictive analytics. At Wellpointe, Terry focuses on the intersection of cloud automation, AI, and scalable care. He is passionate about building future-ready infrastructure that expands access to quality housing and healthcare services. His vision is rooted in the belief that data-driven insights can fundamentally redefine what it means to age well. Terry holds an M.S. in Bioinformatics and a B.A. in Computer Science and Philosophy from The Ohio State University. Terry is also near completion of an M.S. in Computer Science focused on Machine Learning and AI from the Georgia Institute of Technology.
Wellpointe’s RAP is an intelligent move-in orchestration solution designed to streamline and standardize the resident’s journey from interest to move-in. This session will explore how Wellpointe and CapBMP integrated CRM and Work OS systems to create a workflow-driven experience with a single orchestration layer that guides each prospective resident through the entire admission process. The solution orchestrates every stage of move-in, ensuring that required tasks are completed, dependencies are managed, and conditions are met before progression to the next step. By enforcing stage-level controls through tight coordination across systems and teams, RAP replaces the risks of incompleteness and inconsistency with visibility and control that ensures a structured and reliable move-in experience from start to finish. And using Camunda's Agentic AI Connectors as the central orchestrator alongside MCP Servers hosted in Amazon Bedrock AgentCore, users can submit natural language queries to investigate any detail of a resident's move-in journey. Camunda governs the end-to-end execution, enabling queries like 'Does John need transportation?' or 'Does Susan require a diabetic diet?' to be answered from the appropriate underlying source of truth. The result is a platform that transforms what has traditionally been a manually intensive and fragmented process into a highly orchestrated one that reduces operational friction, improves process compliance, increases throughput and ensures that every move-in is consistently and flawlessly executed.
