Despite healthcare spending $1 trillion a year on administrative tasks, most urgent care operators still rely on staff to click, upload, and move data between systems manually. It's inefficient, exhausting, and no longer necessary.

That’s where LLM-powered RPAs (large language model robotic process automations) come in.

In this 30-minute on-demand webinar, Solv COO Teresa Asma explores how this long-overlooked tech is finally delivering on its promise - thanks to the power of AI.
Stay tuned at the end for a bonus Q&A with Solv CTO Daniele Farnedi on why he believes this shift will reshape healthcare operations over the next five years.

You’ll leave with a clear understanding of:

• What LLM-RPAs are and why they matter for urgent care now

• The operational cost of sticking with manual workflows

• Practical ways to reduce front desk burden and streamline intake, payments, and reporting

• How leading operators are already applying automation without custom integrations or massive dev work

Download the video to watch and share with your team.

Teresa Asma
Chief Operating Officer, Solv

Before joining Solv, Teresa Asma spent most of her career working on new technologies that worked in the lab or in theory, and bringing them to real world consumers. An early finance hire at Google [X] – Asma partnered across a broad range of R&D teams including driverless cars (Waymo), augmented reality (Google Glass), telecom (Project Loon), delivery (Wing), and health tech (Google Life Sciences). As part of the founding team at Verily Life Sciences, Asma led the strategic finance function, helping to plan, fund, and build innovative solutions to tackle intractable problems in healthcare.