The healthcare industry stands at a critical juncture, facing mounting pressures from staffing shortages, financial constraints, and rising patient expectations. While the promise of AI to alleviate these burdens is widely acknowledged, many health systems are grappling with a paradox: a deep-seated enthusiasm for new technologies, yet a reluctance to move from governance to full-scale deployment.
In a recent interview, Pranay Kapadia, CEO and Co-Founder of Notable, shared his insights on this challenge and outlined a clear path forward. Kapadia, whose company automates over 1.5 million tasks daily, argues that the biggest risk for healthcare today is not moving too fast with AI, but moving too slow. He shares his perspective on how health systems can shift their mindset, overcome the barriers of inertia and fragmentation, and begin to build a scalable automation strategy that is both responsible and effective.
You’ve stated that 80% of administrative tasks will be automated by 2029. From your perspective, what are the first steps health systems should be taking now to prepare for this significant shift, and what are the biggest barriers to adoption?
Pranay Kapadia, CEO & Co-Founder of Notable: The first step isn’t technology, it’s mindset. Health systems need to stop treating automation like a pilot project or a bolt-on tool and start treating it as a core capability, something as fundamental as the EHR itself. This is about building an operational strategy for survival and growth, not just running experiments.
Health systems that are winning with automation are building an enterprise-wide vision, and a roadmap where AI isn’t confined to one department or one use case, but reimagines how work gets done across the entire organization. That means replacing queues, faxes, and phone calls with digital workflows that scale.
And this cannot stop at the EHR. Work happens across payer portals, revenue cycle systems, call centers, IT help desks, and patient engagement tools. The future belongs to organizations that orchestrate work across all of these systems, not just automate one click on one screen.
Here’s how to get started today:
- Build a vision and roadmap for orchestrating work across your entire ecosystem, not just one department.
- Choose a platform that gives IT control, integrates with every system, and keeps pace with the evolving AI landscape.
- Start small but move fast. Identify a high-impact workflow, automate it, measure results, and scale week over week.
This is why platform choice matters. There are trillions of dollars being invested into foundational models that are evolving at unprecedented speed. Choosing a single point solution for one task is like outsourcing each job function to a different vendor: you get silos, duplication, and no economies of scale.
The Notable Platform puts IT and operational leaders in control. We support every secure, HIPAA-compliant foundational model within hours of its release, give health systems the ability to build and fine-tune proprietary models, and allow for backtesting as the industry evolves. This ensures you’re always using the best model for the job, without ripping and replacing technology every time the landscape shifts.
The biggest barriers today are inertia and fragmentation. Legacy tech stacks and point solutions slow down progress. But the urgency is here now. Workforce shortages and financial pressures are forcing change. The health systems that start orchestrating work today will be the ones that lead the next decade.
With ongoing workforce shortages and fluctuating patient volumes, AI Agents are enabling “elastic workforces.” Can you explain what this means in practice and how it helps health systems maintain quality of care during periods of high demand or low staffing?
Pranay Kapadia: Elasticity means health systems no longer have to choose between being overstaffed or overwhelmed. AI Agents act like digital teammates who scale instantly to match demand.
If there’s a surge in referrals during flu season, AI Agents automatically process them, check payer portals for prior auth, schedule appointments, and notify patients. If call center volume spikes, Agents handle outreach and scheduling so staff aren’t buried in backlogs.
And critically, IT leaders stay in control. With Notable, you can monitor every Agent, define permissions, and adjust workflows in a low-code builder without waiting on a vendor’s roadmap. Because we adopt the most advanced models as soon as they’re available, the intelligence of these digital teammates keeps improving, without requiring you to re-platform.
Our recommendation: start with one workflow that creates a bottleneck today, like referrals, intake, or prior auth, and automate it. Then, every week, add new flows and watch as your digital workforce flexes to meet your operational needs.
Agents don’t just complete tasks, they orchestrate workflows across EHRs, payer portals, billing systems, and patient communications. They ensure work is done in the right order, in the right place, and with an auditable record.
This allows health systems to manage two to three times larger patient panels with the same staff while maintaining quality. Patients get concierge-level experiences, and staff focus on higher-value work, not manual data entry.
Today, many current healthcare point solutions are “glorified LLMs.” Why do you believe a fully integrated, enterprise-wide AI platform, like Notable’s, is the necessary future for healthcare, and what are the dangers of relying on single-function tools?
Pranay Kapadia: Single-function tools can feel easy at first, but they quickly create complexity. The industry is moving too fast to lock yourself into one model or one narrow workflow. Every point solution means another vendor to manage, another integration to maintain, another security risk to monitor, and another workflow for staff to learn.
Notable was designed to give health systems enterprise-wide leverage with full control. Our Platform supports every secure, HIPAA-compliant foundational model within hours of release, allows you to train and deploy proprietary models, and provides a way to backtest and swap models as performance improves.
And we don’t stop at insights, our AI Agents take action. They submit prior auths, schedule appointments, close care gaps, send bills, and document encounters securely and at scale. They coordinate across EHR, payer portals, revenue cycle systems, and patient engagement platforms, giving IT teams one orchestration layer instead of dozens of disjointed tools.
The practical advice here is to consolidate, not fragment, your automation strategy. Build on a single platform that can evolve with you, rather than stitching together disconnected point solutions that you’ll eventually have to reconcile.
The idea that automation can “re-humanize” healthcare seems counterintuitive to some. Can you share how freeing up time for clinicians to focus on patient care leads to a more human-centered healthcare system?
Pranay Kapadia: This is the “why” behind everything we do at Notable. Automation isn’t about removing the human touch, it’s about reclaiming it.
Even in organizations with advanced technology, clinicians still spend too much of their day on documentation, data entry, and other administrative work that keeps them from practicing at the top of their license. Our Chief Medical Officer, Dr. Aaron Neinstein, who still practices at UCSF, reminds us that every minute spent on a routine task is a minute taken away from connecting with patients.
That’s why we constantly ask ourselves: What would bring back the human touch? How do we eliminate the routine and mundane so clinicians can focus on the moments that matter most?
Our goal is simple: to bring concierge-level personalization to every patient by freeing clinicians to be fully present and reconnect with the people they serve.
Start by identifying the top three workflows stealing the most time from your clinicians, like intake, charting, or follow-ups, and automate them first. Each one gives your clinicians hours back every week.
When AI Agents take on this work and handle documenting visits, closing care gaps, following up on labs, and submitting authorizations, clinicians get precious time back to focus on patients.
That means they can look patients in the eye, listen to their concerns, and have meaningful conversations. When technology runs quietly and securely in the background, healthcare becomes more personal, not less.
Notable’s platform automates over 1.5 million tasks daily and generates more than $2.8M in annual cost savings for some of the largest health systems. How has Notable achieved this level of scale and impact, and what do these numbers tell us about the true value of AI in clinical operations?
Pranay Kapadia: We achieved this scale because we built Notable as a platform, not a point solution. From day one, we designed for enterprise-wide orchestration and rapid adoption of the best models available.
Our library of pre-built AI Agents handles common workflows out of the box, but we also empower health systems to build and deploy their own automations with our low-code Flow Builder. That means IT and operational leaders are in the driver’s seat. They can configure, monitor, and evolve automation over time without waiting for vendor updates.
And because we continuously support the latest foundational models, we ensure customers stay ahead of the curve without having to reinvest in new tools every time the AI landscape shifts.
Our most successful partners, like MUSC Health, are scaling automation across the enterprise, training staff to identify new opportunities, and deploying new flows every week, sometimes with our team, sometimes with their own builders. They’re driving millions in cost savings and dramatically improving the experience for both patients and staff.
Any final thoughts?
Pranay Kapadia: Healthcare is at an inflection point. The pressures, from workforce shortages and financial constraints to rising patient expectations, are real, but so is the technology to meet them.
AI Agents powered by the best available models are already eliminating phone calls, faxes, and work queues for some of the largest health systems in the country. They’re making operations more resilient, staff more empowered, and care more personal.
And because Notable gives health systems control over models, workflows, and governance, they can confidently scale automation without fear of vendor lock-in or black-box decision-making.
The best advice I can give: start now, start small, and scale fast. The health systems that take the first step today will have a compounding advantage over the next decade.
We’re not talking about a distant future. This is happening right now. And we’re just getting started.
About Pranay Kapadia
Pranay Kapadia is the co-founder and CEO of Notable, a leading healthcare AI platform used across more than 12,000 care sites to automate millions of administrative tasks daily. Under his leadership, Notable is transforming healthcare operations through intelligent automation, improving efficiency, reducing costs, and enhancing staff and patient experiences.
Inspired by his physician family’s experiences with fragmented healthcare systems, Kapadia founded Notable to streamline critical workflows like patient access, enrollment, revenue cycle management, and clinical documentation.
A veteran tech executive, he previously led product at Blend, playing a key role in its growth and IPO, and held leadership roles at Intuit for Mint.com, Quicken, and QuickBooks. Kapadia is passionate about building intuitive, data-driven solutions that solve complex problems and bring humanity back to healthcare.
