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 corporate action entitlement flows through a Claude™ reasoning chain. Not a simple classifier. Not pattern-matching. Reasoning.
Claude™ receives the trade, retrieves the relevant knowledge (SWIFT flows, corporate action rules, standing settlement instructions, custody positions, counterparty history), works through the decision step-by-step, and outputs a plain-language rationale with a confidence score.
Example, from our live Altus Wealth demo:
“Sell 45,000 DBK GY at €16.42; counterparty submitted €16.48. 11 prior trades with this counterparty — the 0.37% gap sits inside the 0.50% Xetra auto-match tolerance. Rights-issue ex-date approaching; unmatched at ex-date disputes the rights allocation. Recommend auto-match at the €16.45 mid. 92% probability auto-resolved next cycle.”
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
Price breaks, quantity mismatches, counterparty BIC errors, settlement date disputes — auto-classified and prioritised.
✓
Scenario Intelligence
CSD cut-off shifts, settlement window compression, corporate action ex-date collisions — 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
SWIFT MT/MX messages, corporate action notices, standing settlement instructions, custody agreements. 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%. Complex corporate actions, sanctions screening, stock loan recalls; 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 →
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