StructureObjectivesSocial and Ethical AI ConsiderationsPrivacy and Data ProtectionZero Bias and Strict FairnessHuman FirstTransparent and ExplainableAdherence to Regulations Framed by Government Agencies and Statutory BodiesSustainabilityDesign Considerations While Building Agentic AI SolutionsAgent Goals and BoundariesDecide the Level of AutonomyHuman–Agent CollaborationKnowledge SourcesError Detection and FallbackEthics and ComplianceMulti-agent CollaborationMonitoring and GovernanceCost, Scalability, and PerformancePitfallsConclusion