PKPraveen Kotteswaran

AI Platforms

AI systems people can trust.

My recent work sits at the intersection of product intelligence, governed tool orchestration, customer-behavior telemetry, and engineering productivity. The goal is not a flashy chat box; it is a reliable decision system.

AI Product Intelligence

Governed analytics over telemetry, feedback, CSAT, and customer journeys.

Teams need to reason over product behavior without depending on specialist query knowledge. The architecture pattern is controlled tool access, secure identity forwarding, memory, guardrails, response validation, and observability.

  • 5K monthly users, 95% query success, under 12s average latency, and 19 governed tools.
  • Built around secure orchestration rather than unbounded chat-over-data.
  • Designed for production constraints: privacy, latency, auditability, quality, and human override.
5KMAU
95%Success
<12sLatency
19Tools

System Diagrams

Simple public-safe views of the platform patterns.

AI product intelligence flow

User question to tool orchestration to grounded answer, surrounded by auth, guardrails, memory, and observability.

User Question
Agent Router
Governed Tools
Telemetry, CSAT, Feedback, Journeys
Grounded Answer
AuthGuardrailsMemoryObservabilityPII Controls

Engineering productivity loop

Use code and review history to reduce discovery time, repeated feedback, and tribal-knowledge loss without bypassing human review.

Commits + Reviews
Knowledge Patterns
Agent Context
Draft + Human Review

Product intelligence data flow

Customer interaction signals become product-decision workflows for service teams.

Console Surfaces
Customer Interaction Signals
Telemetry Pipeline
Processing + Storage
Product Intelligence Layer
Service Team Decisions
Before

Specialist-driven analytics

Manual query knowledge, fragmented feedback, and slower product-decision loops.

Decision

Governed tools, not open-ended access

Bound the system with explicit tools, identity, validation, latency budgets, and observability.

After

Self-service, AI-assisted, observable

Teams can reason over product signals faster while preserving trust, safety, and operational clarity.

Connect

AI platform, product intelligence, developer productivity, or distributed systems leadership.

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