Financial
AI-Powered Incident Management: Transforming Complex Compliance Workflows
3+ months redefining how compliance teams work with AI.
Results
Developed an AI chat assistant that converts natural-language incident reports into structured compliance forms.
Developed an AI chat assistant that converts natural-language incident reports into structured compliance forms.
Reduced manual workload and human error in incident intake and risk categorization.
Enabled RadarFirst to secure early adopters and position themselves as an AI-driven compliance leader.
Highlights / Intro
RadarFirst helps global organizations manage privacy and security incidents with precision and regulatory confidence. However, compliance teams faced an overwhelming manual workload, parsing lengthy, conversational incident descriptions and populating dozens of form fields by hand.
unosquare partnered with RadarFirst to bring AI into the heart of compliance, building an intelligent assistant that transforms how teams capture, categorize, and analyze incident data.
Challenge
RadarFirst’s clients needed faster, more accurate reporting workflows capable of handling diverse data privacy laws and complex regulatory frameworks.
The key challenges included:
Extracting key information from unstructured text in incident reports.
Ensuring accuracy and compliance across multiple regulatory schemas.
Building an AI system reliable enough for production within strict data governance standards.
Solution
unosquare’s AI engineering team designed and deployed a custom solution leveraging AWS Bedrock, SageMaker, and LangChain, applying retrieval-augmented generation (RAG) and NLP to automatically extract relevant entities and populate form fields.
To ensure precision and scalability, unosquare implemented a hybrid transactional and analytical architecture, integrating event-driven streaming, validation pipelines, and observability layers for continuous accuracy tracking.
- AI/NLP Model Development
- Data Pipeline Engineering
- Compliance Automation & RAG
- Architecture
- Full-Stack & QA Integration
Tech Stack
Python, SQL, PostgreSQL, Docker, Kubernetes, AWS Bedrock, AWS SageMaker, LangChain, LangGraph, OpenAI, MLFlow, Promptfoo, Lanfuse, RAGAS
Centers of Excellence Involved:
AI COE Designed and fine-tuned the retrieval and generation pipeline for compliance accuracy.
Data COE Built and optimized data pipelines and observability models.
Product Engineering COE Integrated AI workflows with RadarFirst’s web platform for seamless user experience.
QA COE Measured and validated system precision against target benchmarks.
