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Build Beyond Chat—
Make AI Do Sh*t.

No fluff. Just deep dives into tool-calling and agent auth to make your AI actually useful.

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THOUGHT LEADERSHIP

Enterprise MCP Guide For Retail Banking & Payments: Use Cases, Best Practices, and Trends

The global payments industry processes $2.0 quadrillion in value flows annually, generating $2.5 trillion in revenue. Yet despite decades of digital transformation investment, critical banking operations,anti-money laundering investigation, KYC onboarding, payment reconciliation,remain largely manual. Model Context Protocol (MCP) represents the infrastructure breakthrough that enables financial institutions to move beyond chatbot pilots to production-grade AI agents that take multi-user authoriz

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Enterprise MCP Guide For Capital Markets & Trading: Use Cases, Best Practices, and Trends

Capital markets technology leaders face a critical infrastructure challenge: scattered AI pilots, disconnected integrations, and fragmented, domain-specific systems that turn engineers into human APIs manually stitching together trading platforms, market data feeds, and risk management tools. The Model Context Protocol (MCP) represents a fundamental shift from this costly one-off integration approach to a universal standardization layer that acts as the backbone for AI-native financial enterpris

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Enterprise MCP Guide For InsurTech: Use Cases, Best Practices, and Trends

The insurance industry faces a pivotal transformation moment. Model Context Protocol (MCP) has moved from experimental technology to production infrastructure, with 16,000+ active servers deployed across enterprises and millions of weekly SDK downloads. For InsurTech leaders, the question is no longer whether to adopt MCP, but how to implement it securely and effectively. Arcade's platform provides the MCP runtime for secure, multi-user authorization so AI agents can act on behalf of users acros

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Enterprise MCP Guide For FinTech & Financial Institutions: Use Cases, Best Practices, and Trends

Model Context Protocol has emerged as the missing infrastructure layer that enables AI agents to act securely across financial systems. For fintech leaders navigating the $1 trillion AI opportunity in banking, MCP solves a critical problem: how to grant AI systems the precise, delegated permissions needed to execute real transactions without exposing tokens or credentials to language models. Arcade's MCP runtime provides the production-grade authorization layer that transforms AI pilots into sec

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Using LangChain and Arcade.dev to Build AI Agents For Financial Services (Banking): Top 3 Use Cases

Key Takeaways * Banking AI agents face a multi-user authorization bottleneck, not a chatbot problem: While 51% of organizations already have AI agents in production, financial institutions struggle with secure multi-user authorization,Arcade.dev's MCP runtime solves this by enabling delegated user permissions and scoped access across Gmail, Slack, Salesforce, and core banking systems * LangChain dominates orchestration but requires Arcade for production banking: LangChain's 99K+ GitHub stars

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Using LangChain and Arcade.dev to Build AI Agents For Health Insurance (Payers): Top 3 Use Cases

Key Takeaways * $18 billion claims processing opportunity demands action now: Administrative costs tied to claim processing exceed $18 billion annually with 12-15% denial rates costing $118 per claim in rework,AI agents deliver 8-12% improvement in first-pass acceptance within the first quarter * Production deployments achieve 80-90% workload reduction: Healthcare organizations implementing AI agents report 80-90% reduction in administrative burden and 2-3x faster turnaround times,but only w
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