NRNamratha RudrappaSenior Product Manager · Applied AI
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Case files

Four products, written up the way I'd brief a team: the problem, the calls I made, the evidence, and what didn't work.

FIQ·264 agents shipped · 2 PRDs in pipeline

FieldIQ — AI field-selling platform

Built solo, end to end: four production agents for CPG field reps, with a model-agnostic gateway, strict JSON schema contracts, coded guardrails, and a hand-adjudicated eval harness with a ship gate.

Agentic AIEval & guardrails0→1Solo build

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RGM·241st enterprise deployment + 2 follow-on deals

RGM·AI — 2024 Stevie Award winner

Agentic pricing and revenue-growth-management product. Removed three buyer objections with one architecture choice — compose on the customer's own LLM via RAG over their own data.

Applied AIRAGEnterprise GTMGovernance

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RTM·18-244 → 7 calls per rep per day

Sales Execution 56→1

0→1 mobile platform replacing 56 legacy tools across 22 countries and ~60% of the client's global revenue — plus the adoption crisis that followed, computer vision that worked, and an ML pilot that got killed.

Multi-market scaleAdoptionComputer visionBuild-vs-buy

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SFCC·20-24300K+ buyers · live <9 months

B2B Commerce & Loyalty Portal

Self-service commerce for 300,000+ business buyers, live in under nine months — including a loyalty design that failed first, was paused mid-build, and was rebuilt around observable behaviour.

Commerce CloudJTBD discoveryLoyaltyMonetization

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© 2026 Namratha Rudrappa

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