PocketHealth Rolls Out Conductor AI to Automate Non-Clinical Care Steps

PocketHealth announced the launch of Conductor, an agentic AI system designed to automate every non-clinical step of care—from requisition intake and order creation to scheduling and appointment confirmations. The solution aims to help healthcare systems across North America manage growing patient volumes, shrinking staff resources, and increasing administrative costs.

The core issue Conductor addresses is the manual work that exists “between systems.” Unlike traditional automation, Conductor uses agentic AI to understand and orchestrate full workflows, replicating the complex, multi-step processes that staff perform daily. It operates across the health system, extending beyond radiology through configurable automations that run within existing infrastructure, maintaining full auditability and ensuring only approved actions are executed.

“Until now, automation couldn’t handle the complexity of those workflows,” said Rishi Nayyar, Co-founder and CEO of PocketHealth. “Advances in agentic AI—combining large language, vision, and voice models—finally make true end-to-end workflow automation possible.”

Conductor serves as a comprehensive back-office automation suite for non-clinical functions, helping organizations expand capacity without adding staff. Early applications include AI requisition processing, which uses a Vision Agent to manage faxed and digital requisitions from receipt to order creation—reclaiming hundreds of staff hours monthly for some imaging systems. Automated scheduling enables 24/7 self-scheduling through SMS, web, and voice, significantly reducing administrative workload. Other features include intelligent communication tools for personalized messages and reminders, and conversational AI for handling high-volume inbound calls.

By automating these tasks, Conductor reduces manual errors, improves traceability, and accelerates care delivery. “Administrative inefficiencies are one of healthcare’s biggest hidden costs,” said Dr. Ram Chadalavada, Chief Medical Officer at PocketHealth. “When automation is built with clinical and compliance guardrails, it not only saves time and cost but also enhances accuracy, safety, and the overall quality of patient care.”