JARVIS Product OS

Buckle up, recruiter.

Initializing Product Owner Engine...

  1. Epic created
  2. User stories sliced
  3. Sprint planning aligned
  4. Acceptance criteria locked
  5. Deployed to production

AI product capability

Intelliflo IQ

Advisors were spending hours manually populating client and advice data across a large enterprise wealth platform.

Problem

Advisors were spending hours manually populating client and advice data across a large enterprise wealth platform.

Business need

Bring AI-powered assistance into advisor workflows while preserving trust, explainability, governance, and enterprise adoption controls.

My role

Led Agile delivery for AI-powered Engagement and Advice Assistants, turning strategic objectives into MVP scope, epics, stories, acceptance criteria, and release-ready increments.

Architecture

AI-assisted advisor experience layered over governed platform data, 190+ target fields, permissions, service APIs, telemetry, and feedback loops.

Outcome

Automated data population across 190+ platform fields, reducing manual administrative effort from hours to minutes and improving advisor productivity.

Key learnings

AI products win when they are embedded in real workflow moments, measured with adoption signals, and delivered with quality gates that enterprise teams can trust.

Technologies

Capabilities involved

AI productsLLMsSAFe AgileProduct analyticsAPIsCloudObservability