Penguin Ai, a startup that has constructed an AI-based platform designed to streamline administrative inefficiencies in healthcare, has pulled in $29.7 million in enterprise funding to pay for product improvement and to scale up deployments with payers and suppliers. Fawad Butt, founder and CEO of Penguin Ai and former chief knowledge officer of UnitedHealthcare, Kaiser Permanente and Optum, lately spoke with Healthcare Innovation in regards to the transition happening to the brand new world of agentic AI.
The Palo Alto, Calif.-based firm says its flagship platform combines task-specific small language fashions (SLMs), digital staff and brokers, with a healthcare-specific AI platform to streamline processes reminiscent of prior authorizations, claims processing, medical data summarization, and appeals administration.
Healthcare Innovation: Might you speak a bit of bit about your background as a chief knowledge officer and the way it helped you kind the thought for this firm?
Butt: Earlier than beginning Penguin, I spent a bit of little bit of time within the VC world at Canvas Ventures, being an working companion, and earlier than that I used to be the chief knowledge officer at Optum, liable for all knowledge and analytics capabilities throughout all three traces of enterprise at Optum. Earlier than that, I used to be on the insurance coverage aspect of the home at United Healthcare because the chief knowledge and analytics officer. Previous to that, I used to be in the identical function at Kaiser Permanente. So when you’ve gotten that distinctive vantage level, you see patterns. One of many patterns I noticed was that the information could be very disorganized. That’s why they created roles for for individuals like me.
The info is disorganized as a result of over the course of a number of improvements, we purchased best-of-breed options, and rapidly we have got a spaghetti mess of 10,000 programs making an attempt to push knowledge backwards and forwards, in order that was at all times a difficult factor.
Additionally, once I was in these positions, I might purchase any platform within the business, as a result of we had the budgets to do it. I might go to AWS, Google Cloud or Azure, however the issue was that these are horizontal, generic platforms. They did not perceive healthcare. When you purchased that expertise, you needed to assemble a crew and determine methods to use these generic instruments and apply them towards healthcare issues. So to me, the thesis was at all times that healthcare deserves its personal platforms, proper? And why aren’t there extra of these? And if I ever had the chance, I used to be going to construct one.
HCI: Isn’t it additionally a difficulty that historically the payers had the claims knowledge and the suppliers had the EHR knowledge, they usually did not actually need to share?
Butt: The fact is that for our well being system to function, that knowledge does get shared. A supplier has to supply medical data if you happen to’re submitting a declare or a previous authorization, in order that knowledge does get shared. The foundational argument that I’ve heard all through my profession is that the incentives are misaligned. I agree with that, however the actuality is that the incentives are misaligned, and we share the information however.
The larger problem I see is that lots of these corporations have grown by means of acquisitions — United Healthcare, for instance. Each time you buy a plan, you get 13 core programs that include it. When you try this 20 occasions, rapidly you’ve gotten spaghetti programs doing too many issues.
The fact is that there hasn’t been a expertise evolution, till lately, that might take that spaghetti mess and in inexpensive method give you a brand new structure that might be deployed. However now the world goes agentic for essentially the most half, which suggests the codecs do not matter anymore. Brokers can just about perceive and devour each structured and unstructured knowledge and context round that.
So the subsequent model of healthcare is agentic healthcare. If we consider that premise, and you are a CIO or a CEO at a hospital system or a payer, you may say, I’ve to construct 1,000 brokers, proper? You want a platform to have the ability to try this on. You might use the Azure platform or AWS and attempt to train it healthcare. Or you possibly can come to Penguin and speak to us, as a result of we constructed the elements which are required for an enterprise to undertake a platform. We have now the connectors to your knowledge, whether or not it is in Epic or Cerner or athena or Oracle or Information Bricks or Snowflake — you identify it. We have now that in-built. We have now a privateness engine in-built that de-identifies that info. We have now a bias mitigation and scoring algorithm that checks to see if you happen to’re introducing bias into your fashions. We constructed our personal small language fashions for prior auth, danger adjustment, and claims adjudication, after which we provide you with our brokers out of the field. That is what a platform is meant to do. It’s supposed to present you what you want so you will get to ROI in 90 to 120 days.
HCI: So are you envisioning each the well being programs and payers as potential clients?
Butt: 100%. As a result of, to me, it is a false dichotomy in some ways. Issues begin on the payer aspect and finish on the supplier aspect, or begin on the supplier aspect and finish on the payer aspect. They simply name them various things, proper? One could be known as declare scrubbing and one could be known as claims adjudication, however it’s basically a really related processes. So why not construct it as soon as, after which let’s deliver the information and the intelligence collectively in a single place, so it isn’t payer in opposition to supplier, it’s payer and supplier.
HCI: I used to be speaking to a well being system CIO who stated they have been beginning to  construct brokers in home, and the payers are constructing their brokers. And it is nearly like it will grow to be this battle between the 2 to see whose are higher. And she or he stated that agent battle shouldn’t be the place they need to be.
Butt: No, however that battle has began. The agent wars are right here, proper? It isn’t this futuristic factor that is going to occur. It is occurring at present. I sat with the CEO of one of many largest regional well being plans within the nation. He stated what they’re seeing is that, in some methods, the suppliers have adopted brokers loads faster than the payer aspect, as a result of the payers’ processes are extra complicated. In a single situation, he stated, a small community of suppliers that used to do 5% appeals on denials is now doing 100% appeals on each denial the well being plan is sending them. He believes the supplier group has an agent on their aspect, and the well being plan has eight individuals on its aspect. So how are they going to win that?
HCI: Effectively, as a part of your pitch to those execs, have they got to ditch lots of this funding they’ve in all these costly legacy instruments that they’ve already made a wager on?
Butt: No, if in case you have a beginning place that claims, let’s name that sunk price and begin afresh, you have not been in healthcare lengthy sufficient, proper? That is simply not how it will work. The funding by way of expertise could be legacy, however by way of info, it’s gold. The entire enterprise’ processes are captured in knowledge all throughout these enterprises. So in case you are envisioning an agentic world, then you do not take a look at it as outdated expertise or new expertise. You take a look at it as helpful knowledge or not helpful knowledge, proper? And I can guarantee you that there’s some very helpful knowledge in these legacy programs that’s going to counterpoint the intelligence. When you’re constructing small language fashions or refining massive language fashions, that info goes to be important. We have been listening to that knowledge is the brand new oil for a very long time, however the trustworthy reality is that now’s the time the place, if you happen to can construct the suitable refinery, you possibly can flip that oil into gasoline on your group.
HCI: Does generative AI have potential to alleviate lots of the issues that individuals describe about knowledge requirements or semantic interoperability?
Butt: I believe it does. It is already enjoying a serious function. It was that the healthcare knowledge world operated in constructions or in knowledge fashions. So I’ve a knowledge mannequin and you’ve got a knowledge mannequin. If I have to devour your knowledge or share my knowledge with you, our knowledge fashions should be aligned by constructing a bridge within the center which says your x means my y.  So that you spent lots of time and power constructing these bridges as a result of that requires material specialists to weigh in, and people are laborious to seek out and costly to retain. However now as a result of we’re not making an attempt to normalize knowledge earlier than we will apply intelligence to it, we will devour that info in each codecs and be capable of analyze it in very related methods and derive insights in very related methods, in order that step that used to take 18 to 24 months of simply aligning the information…… I am not going to say ETL (extract, rework, and cargo) is lifeless, however it’s much less related within the agentic world.
HCI: UPMC Enterprises is certainly one of your buyers. That looks like a company that will be an apparent potential buyer.
Butt: We hope so. We can’t touch upon that. They have been a implausible companion for us. They have been one of many early ones to to understand what it’s that we have been doing, they usually’ve been supportive persistently all through the method. I’d say in our earliest days, the establishment that acknowledged what we have been doing was UPMC.
HCI: Is a part of what buyers the crew you’ve been in a position to construct by way of execs with lots of expertise in healthcare?
Butt: Sure, three of the technical leaders — head of AI, head of supply, and head of engineering — are ex-Optum individuals. Most of the crew that we’ve both labored at Kaiser, United, Optum, CVS and others on the technical aspect. Then we’ve our chief technique officer, Mark Caron, who was the CIO at three completely different Blues plans and a CTO at Catholic Well being Initiatives, in addition to the CIO of the Collaborative Care Division at Optum.
And Missy Krasner, who’s been an advisor for us from the start. She’s been at Amazon, Google Well being, and Redesign Well being. I believe that exhibits within the completeness of the imaginative and prescient and and it exhibits within the understanding of the nuance on governance and safety and privateness that’s specific to healthcare.
HCI: Are there some issues on  the coverage and regulatory aspect, or involving market pressures, which are supplying you with tailwinds to get extra engagement?
Butt: I believe there are two large tailwinds. One is that payers have been decimated over the course of the final 18 months. The Medicare Benefit enterprise that was extremely worthwhile has turned and their medical loss ratios have gone by means of the roof. So there’s large strain on them to scale back prices. And the associated fee that they will management shouldn’t be the MLR, it is the working price of working the enterprise.
Then CMS has some rules round interoperability and particularly round prior authorization that persons are making an attempt to recalibrate round. With an agentic world changing into actuality, lots of people are selecting brokers to try this automation vs. one other utility that they used to do. So we’re seeing an incredible quantity of demand and quite a few engagements on that use case on the payer aspect. Threat adjustment is one other use case on the payer aspect that’s fairly strong for us. Claims is creating as one other space of of demand. On the supplier aspect, I’d say it is round income cycle administration — the claims scrubbing, the extraction of medical codes. Medical coding itself is an enormous use case for us. After which appeals is the opposite one. We will be launching some extra capabilities that we’re piloting round sufferers and suppliers that might be coming down quickly.
HCI: Do some agentic effectivity beneficial properties to well being programs or payers come from decreasing administrative worker head counts? Or are they seen as instruments for these staff to make use of?
Butt: I do not see any substitute of head rely anytime quickly, frankly, and it is as a result of the system is capacity-constrained proper now. The nurses or medical doctors or admin staffers are being requested to do an increasing number of. An instance is prior authorizations. One of many large payers informed us their pharmacists used to should overview 40 circumstances a day for prior authorization. Then that went as much as 70 circumstances a day. Now they’re asking their pharmacists to do 100-plus case opinions a day. And guess what’s occurring? They’re burning out. They’re making errors. They’re quitting and leaving the sphere. I’ve a private story round this, as a result of my spouse was a previous authorization pharmacist, and I noticed her go from working eight hours a day to 14 hours a day making an attempt to make quota. So I believe it is a capability concern. It’s going to simply relieve the individuals who have the accountability to do that work to deal with an important a part of the work and work on the prime of their license.
