LLMs analyze financial statements, borrower profiles, and regulatory documents, delivering structured risk scoring embedded directly in your workflow.
NORA - Your AI Adoption Accelerator
AI Workflow Automation for Risk & Compliance
Automate risk assessments, compliance checks, and credit scoring workflows to eliminate bottlenecks and accelerate decision-making.
60%
Faster risk processing time
40%
Less manual review time
95%
More assessment consistency
60%
Faster processing capacity
70%
Reduction in human checking errors
Why You Need NORA?
Top Reasons of Manual Risk & Compliance
Inconsistent Risk Assessments
Manual or semi-manual risk assessment processes in regulated financial environments
Slow Processing at Peak Volumes
Loan applications, renewals, and audits pile up during high-demand periods that bottlenecked by analyst headcount.
Limited Scalability
Manual incident handling becomes harder to manage as alert volume, audit requests, and compliance tasks increase.
High Compliance Exposure
Missed signals and inconsistent documentation create regulatory risk and revenue loss as transaction volumes grow.
NORA Workflow Automation Solution
Risk & Compliance in Lending from Individuals to Businesses
For Individual Lending
Through NORA, lenders can analyze borrower data, identify risk patterns, and generate preliminary credit assessments in minutes.
How NORA Reduces from 1 Hour to 3 Minutes
Structured Compliance Scoring
NORA applies deterministic scoring rules per product type (Individual and Business lending), ensuring every application is assessed against the same criteria in every time.
Real-Time Classification & Rationale
Every decision comes with a risk classification, a plain-language rationale, and a recommended action that ready for analyst review or direct approval.
Audit-Ready Reports
NORA generates standardized, audit-ready reports for every decision automatically. No manual write-up required, and nothing passes through without a trail.
For Business Lending
NORA reads uploaded financial statements, runs credit risk analysis using LLMs, and delivers a standardized report with recommendations in 15–30 minutes — dramatically reducing credit bureau dependency and analyst time.
How NORA Decreases from 10 Days to 30 Minutes
Document Ingestion via OCR
Upload financial statements as PDF or structured data. NORA’s Docling-powered OCR extracts text with layout awareness, handling complex tables in financial reports.
Significantly Reduced Bureau Costs
Replace or supplement expensive credit bureau reports ($50–$500 per application) with NORA’s AI-generated credit risk assessments based on your own financial data.
Human-in-the-Loop Review
Flagged or low-confidence decisions are held in a review queue before being recorded. Regulators require this — and NORA enforces it by design.
Analyst Focuses on Exceptions Only
One analyst reviews and refines the output before presenting to the customer. NORA handles the heavy lifting — your team handles judgment calls.
Who Is NORA For?
Built for Risk-Heavy Financial Environments
Banking & Lending
Mid-market to enterprise lenders processing 500+ applications per month who need consistent, scalable credit assessment without growing headcount.
Insurance & Financial Advisory
Organizations with strong compliance and audit trail requirements in jurisdictions with lending or financial crime compliance obligations.
Microfinance
High-volume, lower-value lending operations where credit bureau fees eat into margins and analyst capacity limits growth.
Before vs. After
See the Difference NORA Makes
Without NORA
Manual borrower profile review
Experience-driven credit judgment
No standardized scoring logic
60–90 min per individual application / 7–10 days for business
2–4 people per application
Difficult to scale during peak periods
Slow onboarding of new credit staff
Credit bureau fees on every application
With NORA
AI-assisted risk assessment embedded in workflow
Standardized compliance and risk scoring
Analysts focus on exception handling only
2–3 min for individual / 15–30 min for business
1 person for final review or refinement
Faster loan processing with no added headcount
Reduced training dependency via AI guidance
Significantly reduced external credit bureau costs
Comment ça marche
The NORA Assessment Pipeline
Step 1
Document Input
Customer information, financial statements (PDF/DOCX), or KYC documents are uploaded into NORA.
Step 2
OCR Extraction
Docling-powered OCR extracts structured text with layout awareness, including complex tables in financial reports and scanned ID documents.
Step 3
LLM Analysis
GPT-4o or Claude 3.5 Sonnet (routed via OpenRouter) analyses the extracted data and generates a structured risk narrative and scoring.
Step 4
Rule Check
A deterministic rule engine validates required fields, numeric thresholds, and conditional logic per product type.
Step 5
Human Review Queue
Low-confidence or flagged decisions are held for analyst review before recording. Regulators require this and NORA enforces it by design.
Step 6
Decision Output
A standardized, audit-ready report is generated with risk classification, rationale, and recommended action that is ready for approval or customer presentation.
NORA Tech Stack
AI & LLM Layer
GPT-4o
Claude 3.5 Sonnet
OpenRouter
Prompt Engineering
LangGraph
Informatique
Docling OCR
Text Normalization
Field Extraction
Deterministic Rule Engine
Qdrant VectorDB
Backend & API
FastAPI
Microservices
API-First
AWS S3
Docker
CI/CD
Intégrations
Microsoft 365
Outlook
Équipes
Excel
CRM / Onboarding APIs
Implementation Approach
Phase 1: Discovery & Assessment
We analyze your current risk workflow, identify scoring rules and compliance logic, and assess data readiness — ensuring NORA is configured to your products and processes before a single line goes live.
Phase 2: NORA Configuration
We configure your validation logic, set up the rule engine per product type, and integrate NORA with your existing CRM or onboarding system via API.
Phase 3: Pilot
We test with real applications, compare NORA outputs against your manual assessments, and optimize accuracy before full rollout.
Phase 4: Rollout
We deploy NORA into production, train your admin users, and monitor performance — with CI/CD pipelines ensuring rule and model updates happen without downtime.

