From Scratch

Krone

Krone is an AI-powered compliance and consulting platform designed to help organizations manage regulatory complexity through intelligent automation and expert-driven insights.

Industry:LegalTech
Duration:Approx. 1 month
Team Size:1 members
Our Role:Full-Stack AI Developer

Project Overview

Krone is an AI-powered consultancy platform led by Christian, specializing in compliance, anti-corruption, financial management, and ESG (Environmental, Social, and Governance) advisory services. The platform helps businesses navigate complex legal and regulatory requirements through intelligent automation. A core feature of the system is an AI chatbot trained on a large collection of legal and compliance PDF documents, allowing users to query policies and regulations conversationally. By leveraging an AI-powered knowledge base, Krone improves access to structured compliance information and supports better decision-making.

Quick Facts

Client
Internal Company Project – Woyce Technologies
Timeline
2023
Technologies
React.jsTailwind CSSNode.jsPostgreSQL

Project Timeline

Learning and implementing an AI chatbot powered by a PDF-based OpenAI knowledge base for legal and compliance use cases

This project involved the first practical implementation of a PDF-based AI knowledge chatbot, requiring learning document ingestion, embeddings, and AI response behavior. Converting complex legal and compliance documents into meaningful conversational responses within a limited timeframe was a key challenge.

Learning OpenAI knowledge base concepts
Structuring legal and compliance PDFs
Ensuring accurate AI responses
Designing a legal-focused conversational interface
Delivering an MVP within a short timeline

Hands-on learning and rapid implementation of AI knowledge base concepts

The solution was developed through hands-on experimentation and rapid prototyping. Legal documents were incrementally ingested and tested to improve AI response relevance, enabling the delivery of a functional AI chatbot within a short development cycle.

Architecture Overview

A React-based frontend communicates with a Node.js backend that orchestrates AI queries and document search. Legal PDFs are stored and indexed in an OpenAI-powered vector knowledge base, while PostgreSQL supports application-level data. The system is deployed on cloud infrastructure for internal use.

Our Approach

Analyzed legal, compliance, and ESG documents
Designed chatbot flows for consulting use cases
Implemented PDF ingestion and preprocessing
Integrated OpenAI LLM APIs
Connected vector-based knowledge base
Built UI with markdown-based response rendering
Implemented backend orchestration logic
Tested and refined AI response quality
Deployed MVP on AWS

Results & Impact

Working
AI Chatbot
Working AI chatbot for PDF documents
On Time
MVP Delivery
MVP delivered within planned timeline
Successful
PDF Ingestion
Successful ingestion of legal and compliance PDFs
Functional
AI Responses
Functional and relevant AI responses

Key Outcomes

AI-powered compliance chatbot delivered from scratch
Conversational access to complex legal documents
Practical validation of PDF-based AI knowledge base
Reusable architecture for future compliance AI projects

Technical Stack

Frontend

React.jsTailwind CSSMarkdown Rendering Package

Backend

Node.js

Database

PostgreSQL

Infrastructure

AWS

Integrations

OpenAI / LLM APIsOpenAI Knowledge Base (Vector Storage)