AI Explainability for Insurers: Audit-Ready by Design
A pragmatic guide to make AI decisions in insurance explainable and auditable.
Posts by
Parvind
A seasoned technology sales leader with over 18 years of experience in achieving results in a highly competitive environment in multiple service lines of business, across the Americas, EMEA & APAC. Has a strong understanding of international markets having lived and worked in Asia, the Middle East and the US, traveled extensively globally.
Legacy Systems as AI Training Grounds in Insurance
Legacy systems as AI training grounds and hidden institutional memory
Legacy insurance systems are not just old technology; they are rich, empirical datasets that can train and guide modern AI-first modernization efforts when used under strong governance and with the right tooling. They capture decades of real decisions about pricing, underwriting, claims, and compliance that are rarely documented anywhere else.
Event-Driven Claims: From FNOL to Faster Settlement
How event-driven design accelerates claims from FNOL to settlement.
Consent-First Personalization for Regulated Brands
A pragmatic blueprint to run consent-first, real-time personalization that pays.
FNOL automation that customers don’t hate
How insurers can design digital FNOL journeys that cut friction, boost satisfaction, and feed trusted claims automation.
Agentic AI in Insurance: Safe, Real Results
A pragmatic playbook to deploy AI agents from triage to settlement—safely.
Onboarding Nudges That Cut SaaS Churn in Real Time
A practical playbook for real-time onboarding that reduces churn.
From RPA to Agentic Automation: A Safe Migration Playbook
A pragmatic guide to evolve from RPA to AI agents—safely, measurably, and without downtime.
Underwriting workbenches that underwriters actually trust
Why underwriting leaders need AI-enabled workbenches that automate ACORD forms and document-heavy workflows without sacrificing judgment or compliance.
CDP + AI Agents: Building a Real-Time Marketing Engine
How to fuse CDPs and AI agents for real-time, privacy-first personalization.
