Presentation: Architecting the Data Layer for AI Agents: From Transactional Systems to MCP and Semantic Models
Fabiane Nardon shares how TOTVS prepares enterprise data for token-hungry AI agents. She discusses balancing deterministic logic and non-deterministic LLMs across precision, security, and cost. Nardon details using data mesh, low-latency database architectures, semantic ontologies, and dynamic MCP tool selection to optimize context windows and reduce token overhead in transactional systems. By Fabiane Nardon
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Presentation: Architecting the Data Layer for AI Agents: From Transactional Systems to MCP and Semantic Models Why it matters: Agent runtime/tool-calling changes can shift schema behavior and fallback paths. Validate tool-call success and retries before shipping. Source: Inf...
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