Top Agentic AI Use Cases in Banking & Insurance

Most banks and insurers are no longer experimenting with AI. They already have chatbots, OCR pipelines, risk models, and fraud classifiers in production. Yet operational costs remain high, cycle times remain slow, and human bottlenecks still dominate critical workflows. Traditional AI systems are good at individual tasks. Financial services, however, are dominated by multi-step, cross-system, […]

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How to optimize RAG for sub-second latency?

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Scaling RAG pipelines from a prototype to a production system handling thousands of queries per second (QPS) reveals a harsh reality: default configurations rarely meet sub-second service level agreements (SLAs). Achieving consistent low latency at scale requires a fundamental shift in perspective. Speed is not merely a function of a faster vector database. Instead, latency

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Why chunking fails on Tables in RAG, & 4 proven strategies to fix it

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In this blog, we break down why standard chunking fails for structured data and how to design table-preserving chunking strategies using modern RAG best practices. Each approach comes with implementation guidance, use cases, and architecture fit. Why chunking fails on tabular data? Tables aren’t text — they are relational knowledge graphs compressed into rows and

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LatentMAS explained: A new architecture for faster multi-agent AI systems

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If you’ve ever built or evaluated multi-agent LLM systems, you’ve hit the same bottleneck:agents collaborate by dumping text back and forth. This works, but comes with structural problems: LatentMAS proposes a fundamentally different inter-agent communication model:skip the token channel completely and operate directly in latent space. Below, we break down its architecture, performance characteristics, practical

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Hive to improve accuracy in AI solutions

How prompt data types are costing 40% in AI performance?

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Prompt data types matter more than most developers realize. It started with a simple anomaly. We were building a complex multi-turn conversational agent for a client. The logic was sound, the model was the latest GPT-4, and the context retrieval was optimized. Yet, the agent felt… sluggish. Worse, it was hallucinating during complex reasoning tasks, and

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Architecting a scalable AI-driven sales agent training platform

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A Singapore-based AI-first startup partnered with InteligenAI to transform its innovative sales training platform into a robust, enterprise-ready SaaS platform. We re-engineered their AI modules, rebuilt the core architecture, and created a unified workspace designed for performance, scalability, and real-world enterprise adoption. The client set out with a clear vision:to reinvent how sales teams practice,

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Architecting an AI native video intelligence platform with agentic orchestration and on-demand vision models

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In the rapidly growing video intelligence market—where organizations rely on real-time monitoring, alerting, and analytics—our client had already built one of the most robust computer-vision infrastructures in the industry. Their platform could process thousands of live video feeds, generate alerts in milliseconds, and manage a diverse ecosystem of devices across cloud and edge environments. But

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AI-powered mortgage filing system for faster, more accurate loan origination in USA

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Loan origination in the modern mortgage industry presents unique challenges.When a fast-growing fintech entered the mortgage brokerage space, they quickly discovered that speed was their biggest competitive advantage and their biggest bottleneck. Every loan file arrived with a stack of unstructured documents: bank statements in different formats, income proofs that varied from customer to customer,

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AI in EdTech: Building a domain-tuned exam proctoring system for reliable cheating detection

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As online examinations grow globally, EdTech platforms need accurate, scalable, and cost-efficient AI proctoring systems. This case study shows how InteligenAI helped a US-based exam proctoring platform replace generic vision APIs with a fully custom AI-based remote proctoring solution—designed to improve detection accuracy, reduce operational cost, and eliminate manual review bottlenecks. This work demonstrates InteligenAI’s

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GPT-5.1: Discover What’s New in OpenAI’s Latest AI Model

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November 13, 2025 OpenAI has officially launched GPT-5.1, introducing meaningful improvements in reasoning depth, responsiveness, and conversational flow. Rather than a raw capability jump, GPT-5.1 feels like an upgrade to how users experience the model: Faster where needed More deliberate when required and more controllable overall. This release marks another step toward AI systems that

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