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Enhub

AI Implementations & Use Cases

6
Use Cases
2
Industries
2
Countries
6
AI Agents

Hyperscaler mix

Filter Enhub's implementations by Microsoft, AWS, or GCP provider evidence.

How Enhub builds AI

Build / Buy / Compose across this partner's documented cases

BuildBuyComposeMixed

5 of 6 cases classified (83%) · Compare all use-case types

Reported outcomes

6 cases report measurable results

+95%

Quality & accuracy

median · 11 metrics

+90%

Customer experience

median · 7 metrics

+30%

Automation & deflection

median · 3 metrics

Medians of results published in Enhub cases, normalized for comparability. See all benchmarks →

Evidence persistence

2 of 2 judgeable cases are still publicly referenced · 2 show the organization expanding AI use.

Durability of public evidence, not whether systems remain in production. How this is measured →

All Use Cases (6)

GCP

Pienomial case study - Google Cloud

Pienomial's Knolens platform delivers always-on AI for life sciences at lower prices while developers focus on products, not ops.Knolens combines proprietary evidence-structuring technology with generative AI to help organizations work with dense scientific and regulatory information so that high-stakes decisions can move forward with confidence.Pienomial migrated Knolens fully to Google Cloud to improve reliability, scalability, and cost predictability for time-sensitive scientific work.

PharmaUnited States
Agent
GCP

OneAssure: Document AI and Gemini Enterprise Agent Platform automate health insurance policy document extraction

OneAssure is a Bengaluru-based insurtech that simplifies the health insurance journey in India through a digital-first, human-centric model.Its operations team had been manually extracting data from complex PDF policy documents, typing up to 30 fields per file and spending about 10 minutes on each document, which created errors and payout disputes across a network of more than 250 advisors and partners.By moving to Google Cloud, OneAssure implemented an AI-based extraction and advisory workflow to improve document processing, advisor support, and customer guidance.

InsuranceIndia
Agent
GCP

OneAssure uses Gemini Enterprise Agent Platform and Document AI to automate health insurance policy processing

OneAssure is an insurtech platform in Bengaluru, India that simplifies health insurance through a digital-first, human-centric model.The company needed to process large volumes of unstructured insurance policy PDFs and images that required manual data entry across many fields and caused errors in premium and nominee details.

InsuranceIndia
Agent
GCP

OneAssure: agentic insurance document processing with Document AI + Gemini Enterprise Agent Platform

OneAssure is a Bengaluru insurtech platform in India that simplified health insurance workflows using Google Cloud AI.The company used Document AI to extract structured information from unstructured policy PDFs and deployed the solution on Google Kubernetes Engine.It also used Gemini Enterprise Agent Platform to support product and policy Q&A, coverage gap analysis, and a Gemini-powered D2C chatbot for real-time policy assessments.

InsuranceIndia
Agent
GCP

OneAssure case study: Document AI + Gemini Enterprise Agent Platform for health insurance policy processing (India)

OneAssure is a Bengaluru insurtech platform simplifying the health insurance journey in India.The company moved to Google Cloud to address manual processing of complex policy PDFs that mixed images and text and required staff to enter data into up to 30 fields per document.Using Document AI, OneAssure automated extraction; using Gemini Enterprise Agent Platform, it built an agentic assistant for product and policy questions and a Gemini-powered chatbot for policy assessments, coverage-gap analysis, and lead generation.

InsuranceIndia
Agent
GCP

OneAssure uses Document AI and Gemini (GEAP) to automate policy document data extraction and improve advisory chat leads

OneAssure is an insurtech platform in Bengaluru, India that simplifies the health insurance journey with a digital-first and human-centric approach.The company had to manually extract data from complex PDFs containing images and text, entering up to 30 fields per document and spending about 10 minutes per file.By using Document AI on Google Cloud and Gemini Enterprise Agent Platform with GKE, OneAssure automated policy document extraction, improved accuracy, and built a Gemini-powered advisory chatbot for insurers, advisors, and customers.

InsuranceIndia
Agent
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