Resolvd deploys AI-powered digital workers that automate manual, end-to-end workflows in the healthcare supply chain, specifically clearing backlogs and validating data to eliminate tedious manual intervention. Pulse 2.0 interviewed Resolvd founder and CEO Ananth Manivannan to learn more.
Ananth Manivannan’s Background
Could you tell me more about your background? Manivannan said:
“My background combines deep operational experience and engineering. I started my career in supply chain at PepsiCo, where I owned item master management across global procurement. That meant being embedded in the nuts and bolts of enterprise ERP systems like SAP. I dealt firsthand with the inefficiencies in catalog management, vendor data and product standardization across huge organizations.”
“After that, I moved into software engineering and at Capital One, where I worked on enterprise payments and developer productivity tooling. I built systems like cloud developer tooling and internal service infrastructure that had to operate at scale with a high degree of reliability and compliance. This mix of operational pain-point exposure, technical problem-solving, and payment infrastructure shaped the thesis behind Resolvd.”
“But the real catalyst was personal. When a dear family member was in the ICU for several weeks, I saw up close how broken administrative workflows could delay care and affect outcomes, from charge capture to supply availability. That was the moment the Resolvd mission became real.”
Formation Of The Company
How did the idea for the company come together? Manivannan shared:
“I came to a powerful realization: although healthcare systems spend hundreds of billions of dollars annually on administrative labor, the technology that supports all of that work was incredibly outdated.”
“A broken pattern could be found in every workflow: a request comes in an email or spreadsheet, and, to reconcile the data, someone would swivel between multiple systems, like Epic, Workday, Excel and Outlook. They then had to manually update a record somewhere. Multiply that by thousands of workflows per hospital, and you have an unsustainable labor model.”
“We realized that advances in AI, particularly in processing unstructured data and orchestrating multi-step actions, could replace entire categories of repetitive administrative work. Not just assist; actually do the work. That was the foundation for Resolvd: to build digital workers that can handle high-volume back-office tasks autonomously and compliantly and embed directly into hospitals’ existing systems.”
Favorite Memory
What has been your favorite memory working for the company so far? Manivannan reflected:
“One moment that really stands out was during an early deployment. We had automated a request workflow for a large customer, and within days, an operator reached out saying, ‘Because our backlog is being cleared, I’ve finally been able to make it home on time to spend time with my kids.’”
“That feedback didn’t come from a project sponsor or stakeholder. It came from someone on the floor manually handling the work. It reminded us that while we’re building infrastructure software, the downstream effect is better work and patient care. That moment anchored our entire team.”
Core Products
What are the company’s core products and features? Manivannan explained:
“Resolvd offers AI-powered digital workers that automate unstructured back-office workflows end-to-end. Each “worker” is a modular agent responsible for a specific task, like reconciling non-catalog items, updating item masters or processing unmatched invoices.”
“At the core is a cognitive execution engine that handles unstructured data intake (emails, PDFs, spreadsheets); reconciles the information across internal data sources (contracts, POs, item masters); and performs the necessary actions in downstream systems like Workday, PeopleSoft or Cerner, all with auditable workflows and approval routing.”
“Rather than building a traditional SaaS dashboard, we embed directly into the hospital’s existing tech stack, which allows for rapid deployment and minimal disruption. It’s automation that acts like a service but scales like software.”
Challenges Faced
Have you faced any challenges in your sector of work recently? Manivannan acknowledged:
“One of the biggest is inaction. Due to the significant operations pressures hospitals face, it can feel risky to introduce new technology, especially in the back office.”
“To overcome that, we designed Resolvd to be an overlay, not a complete overhaul. We can deploy quickly, without requiring ERP customization or lengthy IT projects. Our approach is forward-deployed: our engineers embed directly with hospital teams to deliver results in weeks. Once stakeholders see outcomes, faster turnaround, fewer errors, analyst time freed up, the conversation shifts from skepticism to ‘Where else can you help us?’”
“Another challenge is data access. Many of the systems we integrate with have limited APIs. We’ve developed specialized sub-agents that can operate in these environments to parse screen-level data where needed and quickly adapt to system configurations.”
Evolution Of The Company’s Technology
How has the company’s technology evolved since launching? Manivannan noted:
“We started with a single use case: reconciling non-catalog items for charge capture. We then built a robust agent framework to support it. Over time, we realized that the same architecture could be extended to dozens of other workflows: invoice–PO matching, item master maintenance and rebates, for example.”
“Our agent framework evolved into a multi-agent orchestration engine. We now treat each integration (PDF contract parsing or Epic item master updates) as a reusable sub-agent. A central orchestration layer coordinates these agents to complete complex workflows deterministically. This allows us to generalize and scale faster across hospitals and departments.”
“We’ve also invested heavily in compliance; audit logs, exception routing and approval workflows are all required for hospital-grade automation.”
Significant Milestones
What have been some of the company’s most significant milestones? Manivannan cited:
“There are a few that stand out.
- When we deployed our first AI workers within several large health systems, they experienced a 90% reduction in cycle time for critical workflows and freed up dozens of weekly analyst hours.
- In those same health systems, we expanded from one department to multiple functional areas, proving that our model is both scalable and adaptable.
- We have built a strong, word-of-mouth pipeline from within the hospital ecosystem, a testament to both trust and speed-to-value.
- We secured backing from top-tier investors, like Spice Capital, Betaworks and Factorial Capital, who deeply understand enterprise AI and healthcare infrastructure. Their belief in our mission has been a major accelerant.”
Customer Success Stories
Can you share any specific customer success stories? Manivannan highlighted:
“I can’t name customers, but I can describe the kinds of results we’ve achieved:
- Within the first few weeks of deployment, one large health system uncovered tens of millions of dollars in spend leakage related to non-catalog items.
- By automating the end-to-end matching and escalation process, another health system was able to reallocate the hours of a sizable contractor team dedicated to invoice–PO reconciliation so they could focus on higher-value work.
- A third system automated thousands of MMIS workflows to improve billing accuracy and accelerate operations by eliminating manual digging for SKUs.
Each of these outcomes was delivered in under 90 days.”
Funding/Revenue
Are you able to discuss funding and/or revenue metrics? Manivannan revealed:
“Our institutional investors share our long-term vision of transforming the healthcare back office. While we don’t publicly share revenue metrics, we’ve increased sales and have had more customers onboarded within about 60 days. They are then able to rapidly expand into adjacent departments after their initial success.”
“Our business model is usage- and workflow-based, making it directly comparable to the fractional cost of additional FTEs. Hospital finance and supply chain leaders who are under pressure to do more with less find value in this.”
Total Addressable Market
What total addressable market (TAM) size is the company pursuing? Manivannan assessed:
“The U.S. healthcare back office represents a $1.5 trillion category. Hospitals alone account for over $250 billion in administrative labor across supply chain, AP, procurement, revenue cycle, compliance and finance. These are highly manual functions ripe for intelligent automation.”
“Beyond healthcare, the same pain exists in adjacent verticals like insurance, pharmacy and manufacturing; wherever unstructured requests must be reconciled across siloed systems.”
Differentiation From The Competition
What differentiates the company from its competition? Manivannan affirmed:
“There are three core differentiators:
- End-to-end execution: We don’t just assist. Our digital workers execute. Most tools today stop at data extraction or ticket generation. Resolvd completes the workflow across systems, fully automated.
- Compliance-first AI: We built from day one for healthcare-grade auditability, with traceable agent actions, approval workflows, and exception handling. That’s a major advantage over generalist automation tools.
- Overlay model: We sit on top of existing systems like Epic, Workday and PeopleSoft. This requires no major IT overhauls and enables hospitals to adopt us quickly and see ROI in weeks.
Legacy RPA and workflow automation platforms can’t handle the unstructured, exception-heavy nature of healthcare operations. Resolvd can.”
Future Company Goals
What are some of the company’s future goals? Manivannan emphasized:
“Our vision is to become the operating system for the hospital back office.
In the near term, that means:
- Expanding our presence in supply chain, AP, procurement, finance, and revenue integrity departments across even more health systems;
- Launching new digital workers to handle additional workflows — from contract compliance to vendor credentialing; and
- Continuing to build out our orchestration engine to support increasingly complex multi-agent tasks.
In the long term, Resolvd will become the knowledge and execution layer for back-office operations. It will encode the institutional memory that today lives only in analysts’ heads and turn it into a scalable, compliant infrastructure.”
Additional Thoughts
Any other topics you’d like to discuss? Manivannan concluded:
“I think it’s important to understand the social impact of what we’re doing. When people think ‘automation,’ they also think ‘job loss.’ That’s not the case in healthcare; here, it’s about survival. Hospitals are struggling to hire — 96% report trouble filling administrative roles, and existing staff are overwhelmed.”
“Our digital workers don’t replace people — they eliminate the busywork and allow staff to focus on higher-order tasks like vendor strategy, compliance oversight and patient support. It’s about making hospitals financially sustainable while improving care delivery in the long run.”
“We’re proud to be building technology that addresses both the economic and human side of healthcare.”
