Product, AI & healthcare innovation advisory

Build what is next—
and the organization
capable of delivering it.

PVia Advisory helps healthcare and technology leaders strengthen product strategy, scale product organizations, apply AI to products and ways of working, and bring complex innovation to market with clarity and discipline.

Product-led organizations.

AI product & operating strategy. Deep healthcare & payer expertise.

How PVia can help

From strategy to an organization
that can deliver it.

01

Product Strategy & Organization

Build a product-led organization that turns customer insight into focused investment and predictable execution.

Clarify portfolio choices, establish customer-backed roadmaps, and create the roles, rhythms, and measures that enable teams to scale and deliver.

  • Portfolio strategy, investment priorities & roadmaps
  • Product operating models, organization design & governance
  • Client discovery, advisory councils & commercialization
02

AI Product & Operating Strategy

Turn AI from a collection of experiments into a focused product and operating agenda.

Identify valuable AI opportunities, incorporate them into product strategy, and redesign product workflows to improve speed, quality, and capacity.

  • AI opportunity assessment, use-case portfolio & roadmap
  • AI-enabled discovery, product operations & workflow redesign
  • Value measures, governance, adoption & decision rights
03

Healthcare Product Innovation

Lead innovation across payer and provider workflows without losing sight of integration, adoption, or regulatory reality.

Translate market and policy change into products clients can adopt and teams can deliver—with deep payer, managed-care, and healthcare-platform expertise.

  • Payer, provider, PBM & health-tech product strategy
  • FHIR, prior authorization & integration roadmaps
  • Regulated AI, workflow modernization & time to value

Market perspective

Three shifts shaping
the work ahead.

These trends are changing what leaders need from product organizations—and where focused executive experience can turn complexity into an advantage.

01

Product organizations

Product leadership is becoming an operating-model discipline.

The strongest teams are organized around customer and business outcomes—not feature output. Clear portfolio choices, durable cross-functional ownership, fewer handoffs, and delivery predictability are becoming the foundation for scale.

What it means

Build the system in which product teams can make better decisions and deliver measurable value.

02

AI strategy

AI advantage depends on redesigning the work—not just adding tools.

AI is moving from individual assistance to repeatable human-AI workflows. The organizations pulling ahead connect AI to customer problems, redesign how work flows, establish quality standards, and turn local learning into reusable organizational capability.

What it means

Treat AI as both a product strategy and an operating-model transformation.

03

Healthcare innovation

AI, interoperability, and regulation are converging.

FHIR-based exchange, USCDI v3, prior-authorization modernization, and AI-enabled clinical and administrative workflows are becoming one strategic agenda. The opportunity is large, but so are the demands for integration, transparency, security, and human oversight.

What it means

Translate regulatory and market change into a focused platform and product roadmap.

An operator's perspective

Strategy that understands
what execution demands.

Polina Vaserman is a product and strategy executive with more than 15 years of experience building enterprise healthcare platforms, leading product organizations, and turning market and customer insight into scalable growth. Her career spans software engineering, product design, portfolio leadership, organizational transformation, and executive client engagement.

She has built and restructured product organizations, led multiple enterprise product suites, authored multi-year product strategies, launched new products, improved roadmap predictability and customer satisfaction, and defined an AI strategy that led to a new product line. Her healthcare experience is especially deep in payer and managed-care markets and at the intersection of payer, provider, and member workflows.

High Technology MBA
Northeastern University
BS, Computer Science
University of Michigan