NTR RPA "NO/BACKOFFICE"
The NTRRPA/AI Platform

Built Around Claude™ and Databricks
From Day One.

Not a rules engine with an AI widget attached. A reasoning-first, governance-first platform where every architectural decision was made after AI-native was already chosen.

01 · Reasoning Engine

Claude™, at the Core.

Every trade decision, every settlement prediction, every cargo re-route recommendation flows through a Claude™ reasoning chain. Not a simple classifier. Not pattern-matching. Reasoning.

Claude™ receives the trade, retrieves the relevant knowledge (charter parties, SWIFT flows, historical cargoes, corporate action rules, custody instructions), works through the decision step-by-step, and outputs a plain-language rationale with a confidence score.

Example, from our live Petroleum demo:

“Iran Heavy cargo at Bandar Abbas terminal. IRGC harassment probability elevated to 40% at $95/bbl scenario. Recommend force-majeure filing within 4 hours — 30-day FM clock starts on notification. Exposure: $2.6M. Confidence: 96%.”

What Claude™ Does In-Platform

Counterparty Risk Scoring
Multi-dimensional exposure across historical trade behaviour, sanctions, credit ratings, current position.
Settlement Fail Prediction
Predicts DK/RVP/DVP fails 24–72 hours before settlement date; recommends resolution.
Exception Triage
Force-majeure notices, quality disputes, credit events, distressed cargoes — auto-classified and prioritised.
Scenario Intelligence
Sub-$60 price stress, Hormuz escalation, Red Sea re-routing — portfolio-wide impact modelled in seconds.

What Databricks Does In-Platform

Unity Catalog Governance
Row-level, column-level, and object-level permissions on every dataset. Nothing bypasses the policy.
Medallion Architecture
Bronze → Silver → Gold. Raw ingestion, cleansed enrichment, curated business data. Full lineage.
Agent Orchestration
Multi-agent pipelines: Trade Classifier, Risk Scoring, Settlement Validation, Exception Handler — each governed.
Audit Trail as First-Class Asset
Every AI decision writes to a Delta Lake table with immutable history. Regulator-ready by design.
02 · Data Governance

Databricks, at the Spine.

AI without governance is a liability. Databricks Unity Catalog enforces permissions, lineage, and policy at every layer — from raw SWIFT message ingestion to the final Claude™ prompt.

Every AI decision traces back to the exact rows of data that produced it. Regulators, auditors, and internal risk teams see the full chain. No opaque model output. No unexplained recommendations.

The Governance Guarantee:

No AI recommendation reaches a user or a workflow without passing through Unity Catalog policy enforcement. Every prompt, every retrieved context, every output is logged with immutable lineage.

Architecture

Five Layers. One Reasoning Platform.

Each layer has a single responsibility. Data flows up; decisions flow out; audit flows sideways into governance.

05

Output & Audit Layer

QuickSight dashboards, Explainability API, immutable regulator audit trail. Human corrections feed back into RAG.

04

Agentic Workflow Layer

Databricks-orchestrated agents: Trade Classifier, Risk Scoring, Settlement Validation, Exception Handler. Multi-agent pipelines with human escalation gates.

03

Intelligence Layer

Claude™ (Bedrock) as core reasoning engine. RAG enriches every prompt; Guardrails validate every output.

02

Knowledge & Embedding Layer

Charter parties, bills of lading, SWIFT MT/MX messages, corporate action notices. Domain-aware chunking, Titan embeddings, OpenSearch + Neptune graph.

01

Data Ingestion Layer

SQL Server 2022 / Oracle™ Database 23ai → AWS™ DMS CDC → S3 Bronze/Silver/Gold. Full 15+ years of transaction history embedded.

Delivery Model

Agile. Two-Week Sprints. Value From Sprint 1.

Horizon 1

Assisted Automation

Sprints 1–8 · 16 Weeks

Target STP 60–70%. Data foundation, RAG MVP, Claude™ integration, Agent v1, audit trail.

Horizon 2

Supervised Autonomy

Sprints 9–20 · 24 Weeks

Target STP 85–90%. Force-majeure, sanctions, book-outs; knowledge graph; scenario intelligence.

Horizon 3

Unattended Processing

Sprints 21–32 · 24 Weeks

Target STP 95%+. Full autonomy, predictive intelligence, multi-market expansion, self-improving prompt refinement.

See the Architecture in Action.

Live proof-of-concept demos showing every layer working end-to-end.

Open Live Demos →