Agentic Systems
AI Employee Development & Automation
AI employees for sales, inbound/customer and operations workflows, represented by Alex, Priya and Anika.
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 it solves
A business workflow where AI must understand context, coordinate work, use tools, and move the process forward under human and system controls.
Architecture
- Channel intake
- Identity and context resolution
- MemoryOS recall
- Agentic RAG / business knowledge
- Tool and API execution
- Human approval where required
- Decision record and outcome loop
Where AI is used
- Intent understanding
- Context retrieval
- Drafting or planning
- Tool selection
- Exception reasoning
- Follow-up preparation
Where deterministic workflows are used
- Validation
- Routing rules
- Permissions
- Status updates
- Idempotent API operations
- Notifications
Memory and context
- Customer or workflow history
- Business facts and policies
- Prior decisions
- Corrections
- Outcome records
Tools and integrations
- Web forms
- Email
- WhatsApp
- CRM or internal systems
- REST APIs
- Databases
Human approval
- Approval gates for consequential actions
- Send/edit/reject patterns
- Escalation when confidence or permission boundaries require it
Security and governance
- RBAC
- Tool boundaries
- Audit records
- Data minimisation
- Fallback paths
- Decision receipts
Production considerations
- Retries
- Timeouts
- Observability
- Evaluation
- Failure recovery
- Cost/latency monitoring
Real MarketIQX proof
Related architecture
Follow the solution into the proof.
Design My AI Workflow