AI Employees
AI employees, not just chatbots.
MarketIQX builds specialised AI employees that maintain business context, use tools, coordinate hand-offs, request approval, and execute defined workflows under governance.
Sales / outbound AI employee
Alex
Alex represents outbound and growth workflows: prospect context, retrieval, follow-up, tool/API execution, governed hand-offs, and business memory where the implementation supports it.
- Prospect context
- Outbound workflow
- Persistent business context
- Tool/API execution
- Agent hand-off to inbound workflows
Evidence: Circulogy sales and growth workflow work
Customer / inbound AI employee
Priya
Priya represents inbound customer workflows: customer context, routing, WhatsApp-style interaction, acknowledgements, owner alerts, escalation, and memory-backed response logic where supported by implementation history.
- Inbound conversations
- Customer context
- Routing and escalation
- WhatsApp workflow patterns
- Hand-off to sales or owner review
Evidence: Circulogy inbound and customer workflow work
Operations / management AI employee
Anika
Anika is the clearest production-grade MarketIQX agentic workflow reference: email intake, classification, draft generation, Gmail-style tool integration, approval gates, edit/reject feedback, business memory, and learning from corrections where verified.
- Email intake
- Classification
- Draft generation
- Send / edit / reject approval
- Business memory
- Outcome correction loop
Evidence: Operational email workflow and approval-gate work
Runtime model
Observe, recall, reason, act, record and improve.
AI employees are engineered systems, not fictional mascots. Alex, Priya and Anika represent real workflow roles with different maturity levels and implementation evidence.
ObserveInterpretRecallReasonPlanCheckActRecordLearn
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
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
Design My AI Workflow