Dive into our expertly crafted collection of whitepapers, designed for developers, architects, and engineering leaders building modern, distributed systems.
Most financial AI projects stall after the pilot stage. Drawing on Gartner's research and six production deployments at global banks, capital markets firms, and insurance platforms, this whitepaper breaks down the five-layer production stack, durability, coordination, safety and control, observability, and evaluation, that separates a working agent prototype from a deployment you can trust with a payment, a compliance decision, or a customer-facing action at enterprise scale.
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This whitepaper introduces Agentspan, Orkes Conductor's open-source AI agent orchestration framework, and explains how it helps enterprises build durable, production-grade AI agents with governance, auditability, and workflow orchestration built in. Unlike lightweight agent frameworks focused only on reasoning loops, Agentspan combines agent execution with Conductor's enterprise orchestration capabilities, enabling organizations to run secure, long-running, and reliable AI workflows at scale.
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Digital transformation is no longer just an option—it's a necessity. However, fragmented automation tools and legacy BPM solutions often lead to inefficiencies, silos, and scalability challenges. This whitepaper explores how process orchestration and Agentic AI are revolutionizing automation, enabling enterprises to seamlessly integrate AI, human workflows, and microservices.
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The Gartner® Business Orchestration and Automation Technology (BOAT) category represents a new class of unified automation platforms designed to orchestrate end-to-end processes across disparate tools.
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Netflix Conductor revolutionized microservices orchestration for many organizations with its open-source engine—but scaling and securing it for enterprise use demands significant engineering effort. Orkes Conductor, built by the original creators of Conductor, eliminates that burden.
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In today's rapidly evolving technological landscape, DevOps teams are under immense pressure to deliver faster, more reliable, and scalable solutions. The integration of Artificial Intelligence (AI) into DevOps processes presents both opportunities and challenges.
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