Financial institutions process thousands of customer complaints daily, and correct classification determines whether each reaches the right team within regulatory deadlines. Misclassified complaints land in wrong queues, miss deadlines, and erode trust. Regulators expect institutions to demonstrate why a complaint was classified, who owns remediation, and what evidence supports the resolution path. The solution uses Amazon Bedrock AgentCore and Strands Agents SDK to automate complaint management through a near real-time agentic solution that classifies complaints with defensible rationale, captures evidence at each decision point, tracks SLA compliance, assigns remediation ownership, and improves mean time to resolution. Regulatory requirements mandate strict timelines: FINRA Rule 4530 requires quarterly complaint reporting with supporting evidence; the Federal Reserve’s Regulation AA mandates acknowledgment within 15 business days; the FDIC requires acknowledgment within 14 days with final responses generally within 60 days; the UK’s FCA enforces DISP rules; and Canada’s FCAC requires a 56-day resolution timeline. Call center agents must categorize issues, determine severity, identify resolution paths, capture evidence, and track SLA compliance across jurisdictions. Complaints arrive through phone, email, chat, mobile, and branch channels, where siloed intake processes force multiple handoffs and obscure systemic patterns. Traditional manual classification creates bottlenecks, inconsistent experiences, and lacks audit trails. The architecture implements real-time complaint analysis during calls, AI-powered classification and severity assessment, context-aware resolution suggestions, and integration with existing ticketing and knowledge base systems.