Autonomize AI announced two additions to its leadership team: Scott Brennan as Head of Growth and Ujjwal Rajbhandari as Head of Solutions. These appointments come as the company works to scale its agent-orchestration platform across healthcare and life sciences.
Bridging Healthcare Delivery and Technology
Scott Brennan joins with more than 15 years of experience at the intersection of healthcare delivery, payer operations and technology. At TurningPoint Healthcare Solutions he led business development efforts to help health plans adopt value-based risk arrangements, especially in musculoskeletal and cardiovascular care. Earlier in his career he helped steer a startup to a successful acquisition, achieving ten-fold EBITDA growth in the process.
Autonomize’s CEO and co-founder Ganesh Padmanabhan noted Brennan’s ability to understand day-to-day pain points in care delivery and payer systems makes him a strong fit. “Scott’s unique background at the intersection of healthcare delivery, payer operations and technology makes him an incredible asset to Autonomize,” Padmanabhan said.
In his role Brennan is expected to lead go-to-market efforts. His task, translate Autonomize’s technical innovation into enterprise deals with payers, providers and life sciences organizations.
Infrastructure Meets Healthcare Workflows
Joining Brennan is Ujjwal Rajbhandari as Head of Solutions. Rajbhandari arrives with background in large-scale operations from Google and Dell, and experience as CTO and co-founder of a startup building a hybrid cloud GPU-as-a-Service platform. At Dell he led global hybrid cloud transformation and played a key role in scaling through mergers and acquisitions.
Padmanabhan credited Rajbhandari’s technical depth and execution skills: “His ability to anticipate industry shifts and build scalable platforms will accelerate how we bring AI Agents into the enterprise healthcare stack.”
Rajbhandari’s leadership is likely to focus on building a scalable and secure infrastructure for deploying agentic workflows into regulated healthcare environments.
Addressing Dual Needs with Leadership Hires
The leadership additions come as Autonomize closed a $28 million Series A funding round in mid-2025, bringing total capital to $32 million. Investors in the round include Valtruis, The Cigna Group Ventures and Tau Ventures.
The company says its platform has already delivered measurable results. It reports that its AI agents have helped save 36,000 clinical hours per month in some deployments and generated over 100,000 automated care plans monthly. Prior authorization and claims decision-making cycles have been shortened by up to 50 percent.
Autonomize’s system is designed to deploy pre-trained AI agents tailored to healthcare workflows including care management, utilization management, benefits verification, chart review and clinical research document processing. The key selling point is orchestration: agents are coordinated to work together across complex workflows rather than acting independently.
That design requires two things. First a deep understanding of healthcare operations and payer-provider interactions. Second robust backend infrastructure that supports secure cloud deployment, fast GPU processing, scalable multi-agent coordination and traceability for regulated workflows.
Brennan’s experience in healthcare transformation and payer operations tackles the first need. Rajbhandari’s experience in cloud and GPU-as-a-Service addresses the second. With the new roles filled, Autonomize seems better positioned to move from pilots and early use-cases toward enterprise-scale roll-outs.
Autonomize also appears to be mapping a transition: from early traction, proof-point use-cases and pilot deployments to enterprise-grade roll-outs across multiple parts of healthcare operations. The company already reports meaningful downstream efficiencies: reduced chart review times, faster prior authorization processes and large clinical hour savings. Those metrics matter in an industry burdened by administrative friction.
The new Head of Growth can accelerate customer acquisition especially among payers and providers who require deep domain sensitivity and outcome accountability. The Head of Solutions can ensure that deployments meet enterprise scale demands in cloud environments while preserving traceability and regulatory compliance.
If Autonomize can combine its technology with domain credibility and delivery discipline the odds improve that agentic copilots will become a standard part of healthcare operations rather than just experimental tools.
Autonomize AI’s investments in talent and infrastructure suggest a clearer strategy for moving AI-based automation from novel experiments to everyday practice in healthcare. The company is layering experienced leadership on top of growing technical momentum.
