You will get Bank Fraud Detection Agent


Project details
Banks receive applications with supporting documents (payslips, bank statements, ID, tax
forms), and a share of them are forged or altered. This agent screens every file automatically
and surfaces only the risky ones for a human to review.
1. Ingest each applicant's document package from the intake system or a monitored folder.
2. Run OCR / Document Intelligence to extract text, fields, fonts, and layout metadata.
3. Cross-check fields for internal consistency (income vs. employer vs. dates) and against the
application data.
4. Detect tampering signals — font mismatches, edited regions, impossible values, duplicated
templates, metadata anomalies.
5. Use LLM reasoning to explain in plain language why a file looks suspicious, for the
reviewer.
6. Assign a fraud-risk score and route only flagged cases to a human review queue; autoclear the rest.
7. Log every decision for audit and compliance.
forms), and a share of them are forged or altered. This agent screens every file automatically
and surfaces only the risky ones for a human to review.
1. Ingest each applicant's document package from the intake system or a monitored folder.
2. Run OCR / Document Intelligence to extract text, fields, fonts, and layout metadata.
3. Cross-check fields for internal consistency (income vs. employer vs. dates) and against the
application data.
4. Detect tampering signals — font mismatches, edited regions, impossible values, duplicated
templates, metadata anomalies.
5. Use LLM reasoning to explain in plain language why a file looks suspicious, for the
reviewer.
6. Assign a fraud-risk score and route only flagged cases to a human review queue; autoclear the rest.
7. Log every decision for audit and compliance.
AI Algorithms
AdaBoost, Multimodal Large Language Model, Transformer ModelAI Applications
Anomaly Detection, Image Analysis, Image Processing, Object Detection, Object Localization, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAIAI Models
GPT-4What's included
| Service Tiers |
Starter
$1,199
|
Standard
$3,499
|
Advanced
$6,950
|
|---|---|---|---|
| Delivery Time | 20 days | 35 days | 60 days |
Number of Revisions | 0 | 0 | 1 |
AI Model Integration | |||
Batch Normalization | - | ||
Database Integration | - | - | |
Detailed Code Comments | |||
Image Upscaling | |||
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | |
Natural Language Processing | |||
NLP Tokenization | - | - | |
Pre-Training | - | - | |
Prompt Engineering | |||
Setup File | |||
Source Code |
About Andrej
AI Agent & Automation Developer | Make, n8n, LLM Apps, Voice AI
Sofia, Bulgaria - 1:31 pm local time
I'm a software engineer specializing in AI automation, LLM apps, and backend development, with real systems shipped for real companies — automated invoice processing, document fraud detection, and autonomous voice/phone agents.
What I build for clients:
- AI agents & chatbots — OpenAI, Claude, and LangChain; RAG over your own documents so answers are accurate and on-topic, not generic.
- Workflow automation — Make, n8n, and Zapier connecting your CRM, sheets, email, and databases so data moves by itself.
- Voice agents — inbound/outbound phone and receptionist agents (ElevenLabs, Twilio) that handle real conversations.
- APIs & integrations — Python (FastAPI, Flask, Django), REST APIs, and CRM/ERP connections.
- Document & data automation — extraction, processing, validation, and reporting.
- Cloud deployment — Azure (also AWS/GCP), Docker, PostgreSQL.
My stack: Python · FastAPI · OpenAI API · LangChain · Make · n8n · ElevenLabs · Twilio · Azure · PostgreSQL · REST APIs · Docker · Git
How I work: I start with the process costing you the most time or money, then build the smallest reliable system that removes it, with proper error handling and documentation so it keeps running without me. Clear updates, fast replies, delivery on time.
Send me a short description of your project and I'll tell you honestly whether I can help, and how.
Steps for completing your project
After purchasing the project, send requirements so Andrej can start the project.
Delivery time starts when Andrej receives requirements from you.
Andrej works on your project following the steps below.
Revisions may occur after the delivery date.
Intro call to walk me through your current review process and pain points.
Share the sample document set and your red-flag checklist.