PRIYANKA (PRI) SHETTY
Still human. Everything else in product is going AI — except the judgment.
AI product builder, product leader, and product coach — at The AI Pit Stop, Maven, and Preply. I built APOS (Agentic Product Operating System) for Product Leaders who want to stop planning the strategy and are ready to execute and scale.
15M+ USERS
FINANCIAL DATA
HEALTHCARE
CONSULTING
15M+ USERS
FINANCIAL DATA
HEALTHCARE
CONSULTING
Pri is a Principal PM turned product systems architect.
After 15 years building enterprise products at Oracle, S&P Global, and Weill Cornell Medicine, she stopped collecting frameworks and started building one that actually works at scale.
Her methodology, APOS (the Agentic Product Operating System), is designed specifically for senior product leaders navigating the shift to AI-native product development. It is built entirely from real work, real failures, and real outcomes at enterprise scale.
She doesn't just ship product. She builds the systems that sustain them.
Agentic AI PM (Claude Code) · OCI AI Foundations · Pendo Product-Led · CSPO · CSM
I build products by starting with the problem, not the solution. Data informs direction, but customer insight drives conviction. The best products ship early, iterate fast, and scale when the fundamentals prove out.
Define vision through market analysis and customer research
Ship iteratively with clear metrics and user feedback loops
Measure outcomes, not outputs — drive business value
15+ years building enterprise platforms across regulated industries






Oracle platforms serve 15M+ users across a 300-person org with slow 6–9 month releases, poor alignment, high defects, and low NPS.
Led end-to-end operating transformation across 50+ stakeholders. Built comprehensive product operating system, introduced idea-to-impact workflows, RICE/ICE prioritization, tech debt management, OKR alignment, and tiger UAT quality gates.

High support ticket volume slowed adoption. Onboarding friction was reducing platform engagement across enterprise clients.
Designed LLM-powered conversational workflows. Integrated AI assistant to reduce repetitive support queries. Collected behavioral data to continuously improve the assistant.

Two enterprise platforms lacked real-time behavioral insight. Decisions were reactive; product prioritization was limited.
Owned telemetry instrumentation and data strategy. Defined feature-level adoption metrics and executive dashboards, built continuous data pipelines for decision-making insights.

S&P Global needed predictive behavior analytics and unified digital presence. Manual reporting and fragmented sites limited real-time insights.
Led 0→1 development of predictive analytics and unified platform. Built real-time dashboards, unified four divisional websites with multi-region personalization, and partnered with Data Science for predictive models.

Navigation model built to spec, but users relied purely on search. Political risk: leadership was committed to the original design.
Analyzed behavioral data, framed pivot strategically to senior leadership, and coordinated search-first redesign execution over two quarters.

Most GenAI ideas stall between prototype and production — no repeatable path from opportunity to a shipped, evaluated agentic product.
Created APOS (Agentic Product Operating System) and applied it across a live product portfolio: Fantartistic (AI-enabled keepsake art), the AI Readiness Diagnostic (Next.js + Claude API), a production Customer Support Agent, and VectorPM's Context Debt product — each moved through discovery, prototyping, evaluation, and launch.

Market Intelligence division needed unified reporting. Manual, fragmented reporting limited visibility; compliance was fragmented.
Built 0→1 enterprise analytics platform in regulated FSI. Defined governance, audit, and compliance pipelines. Coordinated stakeholders across Product, Sales, Data Science, and Compliance.

Provider portal and patient-facing platform served 2,000+ physicians and millions of patients. Low engagement, fragmented workflows, and HIPAA compliance critical.
Led digital transformation initiatives. Designed digital workflows, improved portal usability, and aligned IT, clinical, administrative, and compliance teams.
For leaders who need to define where they're going before they can determine how to get there.
I work with leadership teams to establish market framing, validate strategic bets, and build a roadmap architecture that connects business goals to product decisions — before a single sprint is planned.
DELIVERABLE: PRODUCT STRATEGY BLUEPRINTI help organizations define their AI readiness posture, identify the highest-leverage agentic workflows, and build a phased adoption roadmap that delivers measurable value — not just experimentation.
DELIVERABLE: AI READINESS & ADOPTION ROADMAPI design go-to-market strategy grounded in customer insight, define the success metrics before launch day, and build the feedback architecture that tells you — with precision — whether you've landed.
DELIVERABLE: LAUNCH STRATEGY & OUTCOMES FRAMEWORKAs your market shifts and your strategic bets evolve, I serve as a standing strategic advisor: monthly office hours, async review of critical product decisions, and quarterly strategy recalibrations.
DELIVERABLE: ONGOING STRATEGIC PARTNERSHIPFor teams who know where they're going but need the operating system to get there reliably.
I conduct a structured assessment of how your org actually runs: where Strategic Drift is eroding your roadmap, where Context Debt is taxing every decision, and where Alignment Tax is costing you velocity.
DELIVERABLE: PRIORITIZED ACTION PLANI design and deploy a custom Agentic Product Operating System — workflow architecture, AI agent configuration, and tooling integration built around how your PMs actually think and work.
DELIVERABLE: CUSTOM OPERATING SYSTEMThis cohort-based program builds durable capability in decision frameworks, APOS mastery, and continuous improvement rituals. When the engagement ends, the capability stays.
DELIVERABLE: HIGH-CAPABILITY PRODUCT ORGI help teams define what winning actually looks like — the metrics architecture, executive dashboards, and decision triggers that keep strategy honest and leadership accountable to outcomes, not outputs.
DELIVERABLE: OUTCOMES MEASUREMENT SYSTEMAs your org scales and your operating model matures, I stay close as a standing partner: monthly ops reviews, async audit of process health, and quarterly recalibrations to keep the system ahead of the curve.
DELIVERABLE: ONGOING OPERATIONAL PARTNERSHIPFor product managers and leaders who are ready to operate at the next level — on their own terms.
The operating system that catches AI failures before they reach customers — a working system in every module. For product leaders accountable for how AI gets built, not just whether it ships.
Break down your own PM workflows into specialized AI agents, using real documentation from your team — not a demo dataset.
Close the product judgment gap between RAG demos and production — leave with a working system, not just a slide.
The 6 core capabilities that distinguish an AI-native product manager from a traditional PM.
5 AI-native mental shifts to make sharper product decisions.
A repeatable PM prompting framework for sharper analysis, better research, and more useful outputs.
The fundamentals every PM should have been taught but wasn't. This focused, self-paced course covers the core building blocks of a functional product operating model.
Coach product managers and analytics leaders on product strategy, discovery, prioritization, requirements, and outcome-based roadmaps — an individualized learning plan applied to your real workplace challenges.
For product leaders navigating a high-stakes transition — a new executive role, a critical inflection point, or scaling a product org from the ground up.
"One of the attributes I appreciated most was her efficiency mindset — always identifying opportunities to streamline process or champion standardization where variability was creating operational challenges. In short, if you are looking for a passionate, Agile-equipped, process-oriented leader with excellent communication skills, then look no further."
"Priyanka excelled as both Project Manager and Product Owner, ensuring smooth delivery and clear communication throughout. Her ability to manage complex requirements and keep the team aligned was impressive."
"Priyanka brought solutions to our scrum team working closely with the product owners and acting as a bridge between technical scrum teams and functional counterparts. She has the right balance of soft skills and technical expertise to lead any project."
AI moves fast enough to ship a flawed decision before anyone with the authority to stop it even sees it. This course builds the operating system that closes the gap — a working system in every module. For product leaders accountable for how AI gets built, not just whether it ships.
Identify Strategic Drift, Alignment Tax, and Context Debt as distinct, addressable failure modes — before they show up in a support queue or churn report.
Build a RAG-and-LLM system that compares stated strategy against actual shipped outcomes, automatically — catch divergence while it's cheap to correct.
Turn Slack threads, Notion docs, and meeting notes into a queryable decision memory that outlives the person who has it.
Construct a multi-turn requirement evaluator that automates the clarifying questions your best reviewer asks — before work starts, not after it ships.
On enterprise product leadership, AI adoption, and building operations that scale.
Time-to-market reduced 50–67%, post-release defects dropped 90%, NPS ↑ 6 → 8.
Context: Oracle platforms serve 15M+ users; 300-person org faced slow releases and complex dependencies.
Problem: Releases 6–9 months, poor alignment, high defects, low NPS.
My Role: Led end-to-end operating transformation across 50+ stakeholders.
What I Did:
Optimizing the operating system delivers faster, higher-quality releases with happier customers.
Onboarding satisfaction ↑ 37%, support tickets ↓ ~30% across an ecosystem serving 15M+ users
Context: High support ticket volume slowed adoption.
Problem: Onboarding friction reduced adoption.
My Role: Helped define and ship a production RAG-based support assistant.
AI onboarding boosts adoption and reduces operational overhead.
NPS ↑ 6 → 8, real-time product insights enabled proactive strategy
Context: Two enterprise platforms lacked real-time behavioral insight.
Problem: Decisions were reactive; product prioritization limited.
Behavioral data enables proactive product strategy.
Reporting cycles weeks → real-time dashboards; contributed to a 10%+ improvement in year-over-year retention
Context: S&P Global needed predictive behavior analytics and unified digital presence.
Problem: Manual reporting, fragmented sites, limited real-time insights.
Predictive analytics + unified digital platform unlocks enterprise value.
Activation ↑ significantly; platform pivot validated prior investment
Context: Navigation model built to spec; users relied purely on search.
Problem: Political risk: leadership committed to original design.
Actual user behavior drives product success, not assumptions.
4 applied AI products shipped to production under a repeatable evaluation and governance framework
Context: Founded The AI Pit Stop, an applied GenAI product studio and education business, to build AI-native product workflows and decision systems.
Problem: Most GenAI ideas stall between prototype and production, without a repeatable path from opportunity to a shipped, evaluated agentic product.
My Role: Own product strategy and hands-on development across the full portfolio.
A repeatable operating system — not one-off prototypes — is what gets applied AI from idea to production.
Reporting automated from weeks → real-time; predictive risk scoring contributed to a 10%+ improvement in retention
Context: Market Intelligence division needed unified reporting platform.
Problem: Manual, fragmented reporting limited visibility; compliance fragmented.
Governance and rapid delivery coexist in regulated enterprises.
Patient engagement ↑ 40%; HIPAA compliance maintained
Context: Provider portal and patient-facing platform served 2,000+ physicians and millions of patients.
Problem: Low engagement; fragmented workflows; compliance critical.
Strong governance enables scalable digital transformation in healthcare.
Own product strategy and hands-on development across a portfolio of applied AI products, moving opportunities through discovery, workflow design, prototyping, evaluation, and launch. Created APOS (Agentic Product Operating System), a repeatable framework for identifying AI opportunities, designing coordinated agent workflows, and introducing evaluation and governance checkpoints.
Built and launched Fantartistic, a live AI-enabled product that transforms customer memories into personalized watercolor-style keepsake art, and a production Customer Support Agent that retrieves grounded answers with structured response logic and human-review safeguards.
Build and validate agentic PM systems, including VectorPM's Context Debt product and specialized customer-research and product-definition agents, using coordinated workflows, structured context, and human review.
Built and launched the AI Readiness Diagnostic on Next.js with the Anthropic Claude API, combining structured scoring with AI-generated insights across five enterprise adoption dimensions. Defines evaluation and governance approaches using golden datasets, HHH criteria, LLM-as-judge scoring, and confidence thresholds; benchmarks GPT, Claude, and Gemini for quality, reliability, and cost.
Design and teach live, hands-on AI product management programs that move learners from prompting to workflow and agent design, including orchestration, context engineering, evaluation, and human oversight.
Created curricula for Build Your Agentic AI PM Team, AI Enhanced PM, and Chaos to Clockwork for AI Product Leaders, translating emerging technical practices into practical frameworks, working builds, and portfolio-ready outcomes.
Coach product managers and analytics leaders across healthcare and global data organizations on product strategy, discovery, prioritization, requirements, stakeholder leadership, and outcome-based roadmaps.
Develop individualized learning plans and apply product frameworks to active workplace challenges, helping clients turn ambiguous requests into clear problems, decisions, success measures, and executable product plans.
Managed Oracle Guided Learning & Cloud Success Navigator (15M+ users), 50+ stakeholder operating model, and enterprise PDLC governance.
Reduced time-to-market by 50–67% and post-release defects by 90% through governance, tiger UAT, and shift-left quality frameworks.
Coached 7+ PMs in roadmap governance, compliance, and stakeholder communication.
Built enterprise analytics platform in regulated FSI, defining governance, audit, and compliance-grade pipelines.
Developed predictive churn and expansion models, enabling proactive account interventions.
Automated reporting cycles from weeks → real-time dashboards.
Consolidated four division websites into a unified global digital platform.
Improved engagement and conversion rates globally.
Increased patient engagement by 40% while maintaining HIPAA compliance.
Founded SaaS influencer marketplace, scaling to 10,000+ creators via data-informed iteration.