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.
Governed AI
AI Governance
Governed AI systems with RBAC, tool permissions, confidence thresholds, approval gates, audit records and failure recovery.
AI prepares action
Risk and confidence check
Low riskExecute within permission
Higher riskHuman approval: send, edit, or reject
Record outcome and correction
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
- 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
- Decision Ledger
- MarketIQX Agentic AI
Related architecture