Problem
Most AI assistants answer questions but do not preserve organisational context, coordinate specialised work, request approval, execute tools safely, or leave auditable records.
AI infrastructure
MarketIQX Agentic AI operating model
MarketIQX has developed an agentic operating model around specialised AI employees, MemoryOS, Agentic RAG, governed tool execution, HITL approval, decision records, retries, fallbacks, tracing, observability and correction loops. The broader unified multi-tenant control plane remains an architecture direction, while individual capabilities have working and code-verified implementations.
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
What was built
- AI employee model for inbound, outbound and operations workflows
- MemoryOS working capability for persistent business context
- Agentic RAG patterns connecting retrieval to workflow reasoning and action
- AgentBus/Coordinator architecture for routing, hand-offs and escalation
- Governance patterns including RBAC, confidence checks, HITL and decision receipts
- Reliability patterns for queues, retries, fallbacks, timeouts, checkpointing, observability, evaluation and correction loops
Technologies
- LLMs
- MemoryOS
- Agentic RAG
- APIs
- Workflow orchestration
- Observability
Capabilities demonstrated
- AI Employees
- Persistent Memory
- Agentic RAG
- HITL
- Decision Ledger
- AgentBus
- Reliability Engineering
Memory and governance
Persistent context with approval and audit boundaries.
MarketIQX does not present unconstrained autonomy. The model is memory-backed, tool-aware, and governed by permissions, risk checks, and human approval where needed.
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
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