Expert knowledge, practical tutorials, and industry insights from London's leading AI consultancy
Learn how to build production-ready AI customer support systems using multi-agent architecture. This first tutorial covers system design principles, technology stack, and business value proposition.
Read MoreSet up the foundation for your AI customer support system with PostgreSQL, MongoDB, and RAG architecture. Includes complete database schema and vector search implementation.
Read MoreImplement a specialized agent for handling policy compliance, terms of service, and regulatory requirements. Ensures your AI system stays compliant with business rules.
Read MoreBuild a sophisticated ticket management system with intelligent routing, priority assessment, and automated workflows. Includes integration with popular helpdesk platforms.
Read MoreCreate the master orchestration layer that coordinates all specialized agents. Learn advanced routing logic, context management, and conversation flow control.
Read MoreAdd location-aware capabilities to your customer support system. Handle region-specific policies, time zones, languages, and local regulations automatically.
Read MoreComprehensive testing strategies for multi-agent AI systems. Covers unit testing, integration testing, performance testing, and production deployment best practices.
Read MoreReal-world implementation strategies, ROI calculation, change management, and scaling considerations. Learn how to measure success and optimize your AI customer support system.
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