AI drafts only
SparkWren automates suggestions and summaries, not final payment or compensation decisions.
Security and trust
AI support workflows need clear boundaries. SparkWren makes them visible.
B2B buyers care about customer data, order information, and who can approve sensitive actions. This page explains the operating model clearly.
Trust model in one line
SparkWren drafts, labels, and routes. Humans still approve the sensitive actions that can affect money, policy exceptions, or customer recovery promises.
Human approval for sensitive cases
Refund edge cases, legal threats, VIP treatment, and compensation can require review.
Audit logs
See what input was used, what policy was referenced, and who approved the final action.
Role-based access
Support reps, leads, and managers can work from different decision surfaces.
Retention controls
Define how long imported ticket, order, and policy data should remain accessible.
Workspace separation
Support multiple stores or client accounts with isolated policy packs and review logic.
What SparkWren should not do automatically
- Approve refunds or credits without review
- Promise compensation when policy or context is unclear
- Make legal or fraud-sensitive decisions without escalation
- Blur data between stores, brands, or client workspaces
What SparkWren can safely accelerate
- Draft replies grounded on uploaded policy and order context
- Issue classification and risk flagging
- Internal handoff notes for support and operations
- Queue summaries and policy-drift visibility for managers
Related trust-sensitive workflows
These pages show where trust boundaries matter in practice.
Refund routing
Shows why policy checks and human approval matter before any refund promise is sent.
VIP escalation
Shows how sensitive cases can be drafted and packaged without overcommitting publicly.
Policy drift
Shows how keeping rules current reduces risky inconsistency across support teams.