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