AI Product Management
AI Product Strategy & Vision, Discovery, PRDs, Roadmaps, OKRs, Product-Market Fit, Portfolio Prioritization.
✨ OPEN TO FULL-TIME ENTERPRISE LEADERSHIP ROLES NATIONWIDE
Karuppiah
Chidambaram
PRINCIPAL AI PRODUCT MANAGER | ENTERPRISE AI PLATFORMS | AGENTIC AI | BANKING & FINANCIAL SERVICES
Principal Enterprise AI & Platform Product Leader | Orchestrating Agentic AI & Modern Financial Platforms at scale.
Zephyrhills, FL U.S. Citizen Open to Onsite / Remote
FOCUS: Agentic AI Transformation
25+ YEARS: Enterprise Delivery
— EXECUTIVE PROFILE
Principal AI Product Manager and enterprise platform leader with 25+ years of experience across banking, payments and wealth management, including product strategy, platform modernization, AI governance and cross-functional transformation. Product executive specializing in AI product vision, discovery, PRDs, roadmaps, evaluation, commercialization and governed delivery—translating complex regulatory, risk and data challenges into scalable enterprise AI products. Bridges business, product, technology, risk and compliance to move AI from problem discovery through build/buy/partner decisions, evaluation, pilot, adoption and value realization.
75% FasterCompliance-Review Workflows
14% ReductionUnauthorized Transaction Volume
99.99%Enterprise Platform Uptime
30% FasterAI Model Deployment Timelines
15 MinutesBacklog Grooming Cycles (Optimized from 4 Hours via Multi-Agent Automation)
$5.25BModeled FinMesh™ Total Addressable Market (TAM)
— CORE SKILLS MATRIX
Where Strategy Meets Execution.
Translating business intent into scalable AI products — from discovery and economics through governed delivery and value realization.
Applied AI (Hands-on)
Agentic AI, Multi-Agent Systems, RAG, Context Engineering, MCP (Model Context Protocol), LLM Evaluation, Guardrails, Responsible AI.
Governance & Risk
AI Platform Operating Models, Governance, Risk & Compliance (GRC), HITL (Human-in-the-Loop), Observability, TrustOps, AI FinOps.
Product Economics
Pricing, TAM/SAM/SOM, ROI, Cost-to-Serve, Token Economics, Build/Buy/Partner Decisions.
Domain
Banking & FinTech Payments (ACH, RTP, FedNow, SWIFT, Wire), Wealth, Fraud Analytics, Compliance.
Delivery & AI Platform Ecosystem
AWS, Google Cloud Run, FastAPI, Supabase/Postgres/pgvector, LangGraph, Gemini, Docker, GitHub Actions.
— PROFESSIONAL JOURNEY
A Quarter Century of Enterprise Impact.
Nov 2023 - Present | Florida
Independent Enterprise AI Product Consultant
Independent Enterprise AI Product Innovation & Advisory
- Defined an end-to-end AI product lifecycle—Discovery → Prioritization → Execution → Evaluation → Adoption → Value Realization—using WSJF, OKRs, PRDs and portfolio governance to connect business demand with AI platform capabilities.
- Established reusable product standards for Responsible AI, RAG security, HITL controls, LLM evaluation, AI risk governance, observability, token-cost optimization, pricing, unit economics and commercialization.
- Led and mentored product, engineering, data, design and compliance stakeholders on AI product discovery, context engineering, prompt boundaries, Build/Buy/Partner decisions, evaluation/release gates and delivery trade-offs.
May 2023 – Oct 2023 | Platform Modernization Lead, EnterpriseAI Studio · Tampa, FL
INFOSYS | Lead Consultant — Client: PwC
- Directed product and architecture strategy for early multi-agent workflow pilots supporting audit, tax, and corporate-advisory use cases — among the firm's first GenAI/multi-agent initiatives (2023).
- Defined AI-intake governance, RAG security requirements, human-in-the-loop verification, and evaluation frameworks for a newly formed practice.
- Authored executive PRDs, platform roadmaps, and investment proposals aligned to cross-functional value and ROI measures.
May 2021 – Apr 2023 | Product Lead, ActOneAI Wealth Intelligence Platform · Indiana
INFOSYS | Lead Consultant — Client: Charles Schwab
- Directed product strategy and lifecycle execution for a wealth-intelligence platform supporting automated portfolio analysis across multiple business units.
- Partnered with advisors, compliance, risk, and engineering on explainability and suitability workflows; began piloting vector-embedding-based semantic search and early retrieval-augmented techniques in 2022–2023 as the underlying technology matured.
- Owned user journeys, executive PRDs, and roadmap decisions, including security and resilience considerations.
May 2019 – April 2021 | Enterprise Platform Product Owner, Payments Intelligence (TransactIQ) · Indianapolis, IN
TATA CONSULTANCY SERVICES | Associate Consultant — Client: Bank of America
- Directed a 45-member global cross-functional team spanning Product, Engineering, Risk, and Compliance for a real-time payments-intelligence engine.
- Reduced unauthorized transaction volume by 14% through product ownership of ACH, wire, and SWIFT risk analytics across enterprise banking infrastructure.
- Designed capacity and scalability models supporting millions of daily payment transactions while maintaining 99.99% platform uptime.
May 2017 – Apr 2019 | Product Owner, Fraud Intelligence Platform (SentinelAI) · San Antonio, TX
TATA CONSULTANCY SERVICES | Associate Consultant — Client: USAA
- Led product strategy and delivery for Fraud – Intelligence platform combining rule based decisioning, predictive fraud scoring models and graph-based link analysis.
- Integrated graph-based link verification and explainability; aligned Data Science, Fraud Operations and Legal priorities, accelerating model deployment timelines by 30% while maintaining regulatory compliance.
Dec 2011 – Apr 2017 | Product & Platform Manager, Enterprise Analytics Hub (InsightForge) · India
TATA CONSULTANCY SERVICES | Associate Consultant — Client: BB&T / SunTrust
- Led lifecycle and roadmap for a centralized enterprise analytics platform spanning retail and commercial banking.
- Unified multi-channel credit decisioning models and translated credit-risk requirements into production analytical capabilities, improving deployment velocity.
May 2000 – Dec 2011 | Lead Technical Product Architect — Clients: Deutsche Bank & Barclays · India | Corporate Payments & Core Banking
HCL TECHNOLOGIES | Deputy Manager
- Led core-platform modernization and systems architecture for corporate payments and core-banking platforms, translating multi-currency workflows into scalable banking capabilities.
- Designed reconciliation engines, compliance-screening frameworks, data-ingestion patterns, and business logic supporting automated risk profiling and high-throughput processing.
— THE KARUPPIAH AI FLOATING OPA FRAMEWORK™
Five Generations of Enterprise Autonomy.
v1.0 -AI Ops Framework
Enterprise AI intake, governance, hallucination mitigation, token-cost optimization and Responsible AI foundations.
Maturity: Applied in portfolio architecture/implementation
v2.0 -Enterprise Multi-Agent Orchestration Fabric
Multi-agent operating model with TrustOps governance canopy, IntentOps, RiskOps, Predictive FinOps and reusable platform services.
Maturity: Applied in portfolio architecture/implementation
v3.0 -AEOS | Autonomous Enterprise Operating System
Self-governing, self-learning, self-healing enterprise operating model connecting agents, governance, observability and continuous improvement.
Maturity: Prototype-level
v4.0 -SYNDICATE | Syndicated Enterprise Operating System
Governed federation of enterprise agents collaborating and transacting across organizational boundaries while preserving enterprise control.
Maturity: Strategic/forward-looking architecture
v5.0 -SWARM | The Autonomous Macro-Economy
Strategic model for dynamic ecosystems where governed agents discover partners, form temporary alliances, transact, mutate and dissolve under macro-economic policy guardrails.
Maturity: Strategic/forward-looking architecture
— AI PORTFOLIO
Portfolio-Grade AI Products.
Self-built, portfolio-grade AI products grounded in discovery, evaluation, reliability, architecture, and measurable economics.
01 · Enterprise Product-Ops & Prioritization Operating System
FINMESH™
Transforms regulatory text, product ideas and fragmented Agile backlogs into structured, traceable engineering roadmaps and Jira-ready structures through governed multi-agent workflows.
Product Value & Discovery
Modeled/validated workflow outcomes including 75% faster compliance-review cycles, backlog grooming reduced from 4 hours to 15 minutes, and PMO prioritization cycles reduced from 3 weeks to 3 days; translated Compliance, Product and Engineering pain points into WSJF, dependency and regulation-to-story requirements.
AI Evaluation
Designed a 250-scenario evaluation dataset to test groundedness, citation accuracy, retrieval precision/recall, latency and cost/task; defined an offline evaluation → release-gate → online-monitoring → feedback framework using RAGAS/DeepEval.
Architecture & Economics
Designed Regulation, Product, Engineering and Governance agents coordinated through MCP and shared memory under a RAG governance model; modeled unit economics of approximately $0.002 per regulatory ingestion and $0.005 per roadmap generation and developed Seat, Portfolio and Enterprise pricing concepts.
02 · Multi-Agent Financial Advisory Application
FINADVISORGPT™
Unified market intelligence, momentum tracking, peer comparison and client-aligned suitability scoring into a state-preserving advisor workspace.
Product Validation & Customer Discovery
Conducted structured synthetic-user/scenario validation across 50+ wealth-advisor personas and workflows, testing portfolio analysis, suitability scoring and client-meeting preparation; modeled potential time savings of ~70% and used findings to prioritize product improvements. Defined advisor journeys, exchange filters, persistent dashboard state and personalized 0-100% risk-alignment matrix based on identified user needs.
Competitive Differentiation
Positioned against generic enterprise copilots through domain-grounded RAG, deterministic suitability scoring, explainability, workflow context and compliance traceability.
AI Reliability, Security & Economics
Implemented facts-first generation, bounded retries, hard LLM-call deadlines, secure Supabase Auth/PKCE and Row-Level Security; recommendations tied to auditable pillar facts. Developed Seat, Portfolio/Book-of-Business and Enterprise pricing concepts with modeled cost-to-serve, payback and ROI scenarios.
03 · Persistent Autonomous Agent Runtime
HERMES AI OPERATING SYSTEM™
Authored PRD and architecture for persistent memory, reflective learning, and multi-agent orchestration for always-on workflows; explicitly staged (current build: prototype-level; later versions: forward-looking design work). Defined validation, context compression, secure multi-tenant operation, HITL oversight, observability and workflow governance.
Product Economics
Designed token-compression and workflow-optimization strategies targeting sub-$0.12/session cost.
— AI PRODUCT ECONOMICS, GTM & PORTFOLIO STRATEGY
Built bottom-up TAM/SAM/SOM, pricing, ARR, payback and ROI models for AI products, linking token economics and cost-to-serve value realization. Evaluated Build/Buy/Partner decisions across models, orchestration, data, evaluation tooling and enterprise integrations using capability, security, cost, latency and time-to-market criteria. Defined pilot hypotheses, target-user cohorts, success metrics and adoption gates to assess product-market fit and scale readiness.
— CREDENTIALS
Certified at every layer.
14 CREDENTIALS
SAFe Practice Consultant (SPC) 6.0Release Train Engineer (RTE) 6.0Lean Portfolio Management 6.0Agile Product Management 6.0SAFe Advanced Scrum MasterSAFe for Architects 6.0SAFe DevOps 6.0SAFe Government PractitionerSAFe AgilistScaled Professional ScrumDisciplined Agile Scrum MasterICP-ACC Agile CoachCertified Agile Leadership 1Professional Agile Leader
— THOUGHT LEADERSHIP
Accelerating Enterprise AI Deployment
Creator & Author - Karuppiah AI Ops Framework™ v1.0-v5.0, evolving enterprise blueprints spanning AI intake/governance, multi-agent orchestration, autonomous enterprise operations, cross-enterprise syndication and autonomous macro-economic agent ecosystems.
Published industry analysis on LinkedIn and Medium covering hallucination mitigation, RAG compliance, enterprise AI operating models, agentic AI, AI governance and autonomous enterprise patterns.