Healthcare AI company Innovaccer announced on Wednesday that it is committing $250 million over the next three years to build out its platform of AI agents, which perform tasks across five main categories: patient access, value-based care, revenue cycle, risk and quality assessment, and utilization management.
The company, founded in 2014, has spent years developing a unified data and workflow infrastructure, noted CEO Abhinav Shashank.
This infrastructure — Innovaccer’s “Gravity” platform — sits underneath all of its AI tools. Shashank explained that this layer is continuously trained on real-world healthcare data, from claims denials to edge cases. The platform combines data from multiple sources, including its customers’ EHRs, claims systems, CRM platforms, and human resources and finance management systems.
This shared data layer gives each new AI agent on Innovaccer’s platform immediate context and institutional knowledge at launch, Shashank noted.
Every new agent on Innovaccer’s platform is designed to improve over time and keep learning to perform more effectively, he added. In his view, this compounding learning effect is a key advantage of the unified platform approach, which he said standalone tools typically can’t replicate.
Shashank said that Innovaccer is pouring millions into new models for its agentic AI platform because it’s clear that healthcare executives, especially CFOs, are moving toward enterprise-wide AI strategies that solve sweeping financial and operational problems rather than just isolated use cases.
“[Point solutions] are becoming hard to integrate. The reality of it is that the provider experience is actually degrading from where it was before if you have different point solutions. Because [clinicians] now have to switch between Point Solution A to do coding, Point Solution B to do authorization and then come back to the EHR,” he remarked.
Shashank thinks the most important aspect of Innovaccer’s agentic AI platform is that it connects workflows end-to-end. For instance, agents performing prior authorization functions can hand off new tasks to agents dealing with coding and denial management, instead of all these processes being handled in isolation.
This workflow integration is already starting to happen among some of Innovaccer’s larger health systems customers, including Kaiser Permanente, Ascension and Trinity Health. Shashank said these organizations are linking their contact center agents to broader population health management workflows, like managing outreach and tracking health outcomes for entire patient groups, such as diabetics or high-risk Medicare patients.
Overall, Shashank said the platform’s main goals are to save time, reduce staff burnout and improve financial outcomes. He pointed out that Innovaccer’s health system customers are starting to release data showing that the company’s agentic tools can deliver on these goals.
For example, Prisma Health uses the platform to automatically route high-risk patients to case management, and Innovaccer’s agents ensure those patients are properly documented and coded for risk adjustment. The health system said this has improved how accurately it’s reimbursed under its contracts.
And Risant Health reduced its prior authorization time from about 45 minutes to less than a minute after deploying Innovaccer’s agentic AI. Other providers, including Banner Health and Franciscan Health, have also said they are eliminating hours of manual work with the agents.
Instead of charging for software access or usage, Innovaccer is moving into a model where it charges based on each successful task completed, such as a prior authorization or denial appeal. Shashank said this helps guarantee ROI upfront.
“If we are going to reduce the administrative cost burden for health systems, we should bake it into the pricing itself. If something is costing you $100 to do from a manual process perspective, we will price it at $20, and therefore we are guaranteeing savings day one with that successful transaction,” he explained.
To Shashank, Innovaccer’s announcement is part of a broader industry shift — away from fragmented AI pilots and toward integrated AI platforms that connect data, workflows and financial results.
As the company continues to scale and refine its AI with its provider partners, he said he hopes to publish more case studies showing that administrative AI tools can save organizations money, not just time.
This week, the Peterson Health Technology Institute published a report showing that AI tools for administrative tasks — especially prior authorization and billing — can improve efficiency for health systems, but they don’t usually bring down costs and may actually increase them.
These industry results speak to the bigger challenge of turning administrative AI from a productivity tool into a meaningful way to reduce costs. By investing millions in its end-to-end platform, Innovaccer is seeking to go beyond task-level automation and toward an integrated system designed to deliver financial impact.
Photo: Yuichiro Chino, Getty Images
