VoiceCare AI is set to automate back-office operations in the healthcare sector with its latest generative AI technology, aiming to enhance patient engagement.

The company has raised $3.85m in seed funding, spearheaded by Caduceus Capital Partners, with contributions from Bread and Butter Ventures, to improve patient access, adherence and outcomes.

The funding will bolster the team, enhance sales and marketing, and contribute to the improvement of the platform's accuracy, security, and compliance.

Healthcare providers face a deluge of administrative calls every year, often plagued by long hold times and repetitive tasks such as data transfer, status verification, and process initiation.

VoiceCare AI introduces Joy, a human-like voice AI agent capable of managing lengthy and complex conversations, which could reduce extended hold times.

VoiceCare AI founder and CEO Parag Jhavari said: "By automating conversations in a way that feels genuinely human, we seek to give back time to healthcare professionals so they can focus on high-order patient care, driving radical efficiencies with every conversation. That's why we created "Joy," our voice AI agent."

The company has also initiated a pilot with Mayo Clinic, implementing its intelligent voice automation for critical tasks such as patient pre-authorisation and benefit confirmations in three departments: neurology, paediatrics, and medical and administrative support operations.

VoiceCare AI's platform is transforming B2B voice conversations by automating interactions with payers, from benefits verification to prior authorisations and claims follow-ups.

This automation aims to liberate staff from the burden of long hold times while ensuring comprehensive documentation and summaries of each call.

The system integrates with existing workflows and offers near-real-time updates.

The technology behind VoiceCare AI utilises advanced multi-modal agentic architecture reinforced by learning from human feedback and healthcare conversational data.

This has resulted in a near-perfect call completion accuracy rate, with the majority of calls being autonomously managed by AI.

Adhering to safety standards, the platform complies with HIPAA regulations and has achieved SOC 2 Type II attestation.