Agentic AI Engineering
MarketIQX engineers AI systems that can observe business context, retrieve knowledge, use tools, request approval, execute workflows, and record outcomes under governance.
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The MarketIQX Agentic AI stack.
A practical architecture for AI employees that combine channels, routing, memory, Agentic RAG, governance, tool execution, decision records and production reliability.
01
Channels
WhatsAppEmailWebAPIsVoice-ready architecture
02
Identity and context
TenantUserWorkflowBusiness state
03
AgentBus / Coordinator
RoutingAgent selectionHand-offsEscalation
04
AI employees
PriyaAlexAnika
05
MemoryOS + Agentic RAG
FactsPoliciesCorrectionsKnowledge retrieval
06
Governed execution
RBACTool permissionsHITLDecision receipts
07
Reliability
RetriesFallbacksTimeoutsObservabilityEvaluation
Memory and governance
Persistent context without unconstrained autonomy.
MemoryOS and Decision Ledger patterns give agents continuity and accountability while keeping risky work behind policy and approval gates.
EventIdentity + ContextRecallFacts / Policies / HistoryAgent reasoningActionOutcome / CorrectionWrite-back
AI prepares action
Risk and confidence check
Low riskExecute within permission
Higher riskHuman approval: send, edit, or reject
Record outcome and correction
MemoryOS
MemoryOS is MarketIQX's structured memory substrate for AI employees: business facts, context, corrections, outcomes, policies and knowledge relationships used under governance.
Open pageDecision Ledger and Decision Receipts
Decision Ledger is MarketIQX's governance pattern for recording important AI-assisted actions, approvals, corrections and outcomes without exposing private model reasoning.
Open pageAWS Engineering for AI Products
AWS engineering for AI-native products, workflow automation, API systems, deployment paths and production-ready cloud foundations.
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