Proposed Operating Model

An agentic complaint system with evidence, control, and visibility built in.

TriageAI turns complaint handling into an orchestrated workflow. Intake, document understanding, classification, risk review, root-cause analysis, resolution planning, evaluation, and live traces all operate as one governed system instead of disconnected tools.

System flow

1. Structured intake

Capture narrative, bank contact history, and uploaded evidence before a case is considered ready.

2. Document-grounded analysis

OCR, extraction, contradiction checks, and evidence-aware specialist agents run before supervisor decisions.

3. Governed decisioning

Routing, risk, root cause, and proposed resolution are evaluated, traced, and made reviewable for the business.

Evidence-first

Uploaded documents are parsed before downstream specialist agents act, so decisions are grounded in real artifacts instead of narrative alone.

Visible reasoning

Live traces, evaluation reports, and structured judging make the system inspectable rather than opaque.

Business control

Taxonomy, routing rules, document gates, and evaluation layers keep the workflow aligned with operational needs.

Capability

What the platform delivers

Complaint session history

A unified view of the intake conversation, payload, and supporting evidence for every case.

Production evaluation

System evaluation and LLM judge reports on real complaints, visible in analytics instead of hidden in the backend.

Live trace visibility

Admins can watch node-by-node execution as a complaint is processed.

Benchmarking framework

Weak-gold and judge-based evaluation infrastructure for measuring and improving behavior over time.