Practical research and frameworks on AI product development, insurance domain intelligence, decision-driven operations, and building for Indian businesses.
AI & Engineering
ChatGPT can write an insurance test case. But will it know about California's Proposition 103 rate regulation, or NAIC model law requirements for claims handling? We break down why vertical AI consistently outperforms horizontal models — and what it takes to build domain intelligence that actually holds up in production.
Insurance AI
A Life Insurance QA engineer spends 3–4 hours writing test cases for a single Policy Servicing module. NexureAI processes the BRD and generates all four coverage types in minutes. Here's what that delta compounds to across a release cycle.
Finance & Compliance
GSTR-1, GSTR-3B, TDS, PF/ESIC, ROC filings. The average Indian startup's finance team spends 15+ hours per month on return preparation. Dexara cuts that to under 30 minutes with CA review built in.
Decision Intelligence
Dashboards show you what happened. ERPs record transactions. But nothing surfaces deviations, generates AI decisions with predicted impact percentages, and tracks execution — until now.
Insurance AI
A Life & Annuity carrier reduced their BRD-to-test-case cycle from three weeks to two days using NexureAI's RAG pipeline — covering New Business, Policy Servicing, and Claims in a single release.
Company
GST, TDS, rupee-denominated pricing, NEFT/IMPS workflows, CA-in-the-loop compliance. Building for Indian businesses means building for their actual operating reality — not a US workflow with a rupee sign.
Decision Intelligence
Dexara's health scoring model combines MRR growth, burn multiple, DSO, pipeline coverage, and compliance signals into a single number. Here's how each driver is weighted and what actions actually move the needle.
AI & Engineering
A technical deep-dive into the patterns we use when building AI-native products — RAG pipelines, prompt caching, streaming responses, and the common traps that kill latency in production deployments.
Finance & Compliance
Frequency anomalies, amount outliers, policy violations, vendor concentration risk. The machine catches all of it before an approver even sees the expense. Here's how the detection model works in practice.
Insurance AI
ISO policy forms, state-specific filing requirements, NAIC model laws, and claims-handling timelines differ by state and line. NexureAI maps these automatically — here's how the compliance layer is built.