Case Studies | OSINT & Research Automation

Environmental Consulting Regulatory Compliance Report Automation

Automated Environmental Impact Assessment

The Challenge

Environmental consulting firms and project developers in Colombia must prepare detailed technical assessments aligned with official licensing authority methodology for each identified environmental impact. Each assessment requires interpreting regulatory frameworks, applying complex valuation methodologies, and justifying significance determinations according to strict technical standards.

The Solution

We deploy an agentic system designed to orchestrate the environmental assessment lifecycle. Our agents proactively ingest data, navigate regulatory frameworks to apply official methodologies, and execute multi-step reasoning to generate technical justifications for every identified impact. This shifts the expert's role from manual production to high-level orchestration and critical validation, leveraging AI that thinks through the technical complexities of each case.

Expected Results

Autonomous multi-step reasoning for technical justifications
70% reduction in technical draft preparation time
Total consistency with official methodology and formats
Scalability for projects with dozens of identified impacts
More time for high-level orchestration and critical validation

News Monitoring Semantic AI Intelligence Reports

Automated News Intelligence Monitoring

The Challenge

Organizations operating in complex or high-risk environments must continuously monitor external information to stay informed. However, major media outlets publish hundreds of articles daily, making it difficult to identify what is truly relevant without significant manual effort.

The Solution

This use case illustrates how we build custom workflows to collect, filter, and analyze external web information. The system continuously monitors a major news outlet, extracts newly published articles, and applies semantic reasoning to assess relevance based on predefined themes such as geography, political context, or risk topics. Relevant content is then processed, enriched with metadata, and transformed into a structured intelligence report.

Expected Results

Automated collection: Eliminates manual browsing and monitoring
Semantic relevance filtering: Focuses on meaning, not just keywords
Structured outputs: Clear, consistent intelligence reports
Repeatable and auditable: Timestamped results suitable for internal or client use
Fully customizable: Sources, topics, formats, and delivery tailored to each organization.

Change Detection Monitoring Compliance

Website Change Detection

The Challenge

Critical information on regulatory sites, corporate pages, or institutional portals often changes without notice. Manually checking for updates is unreliable and does not scale, increasing the risk of missed updates or delayed responses.

The Solution

This system continuously monitors selected webpages and detects meaningful content changes using intelligent comparison techniques. When relevant updates occur—such as new regulations, policy changes, or official announcements—the system extracts the updated content, summarizes the change, and triggers alerts or reports.

Expected Results

Early detection of critical updates
Focus on meaningful changes, not page noise
Configurable alerts and reporting formats
Typical applications: Regulatory compliance, legal monitoring, vendor oversight, corporate risk management

Data Extraction Web Scraping Structured Data

Web Data Extraction & Structuring

The Challenge

Websites contain valuable information scattered across multiple pages in inconsistent formats. Manual data collection is time-consuming, error-prone, and doesn't scale. Traditional scraping tools often break when website structures change and struggle with complex, dynamic content.

The Solution

Built intelligent web scraping workflows that navigate complex site structures, extract relevant data points, handle pagination and dynamic content, apply data validation and cleaning rules, and output structured datasets in formats like CSV, JSON, or direct database integration.

Expected Results

Automated extraction from hundreds of pages in minutes
Consistent, validated data ready for immediate use
Adaptable to website changes with minimal maintenance
Scalable across multiple sources and data types

Document Automation Web Scraping Legal Tech

Automated Legal Document Collection System

The Challenge

Multiple government registries publish legal documents daily across different platforms with inconsistent interfaces. Each source requires a different navigation and extraction approach. Manual monitoring means delays in document retrieval, missed publications, and significant staff time spent on repetitive tasks instead of analysis.

The Solution

Built an intelligent multi-source document collection and processing system that adapts to different website structures. The workflow navigates to each target site, removes blocking popups, routes to the appropriate extractor based on site type, extracts metadata, filters by date, downloads PDFs, and processes them using vision models into structured markdown with Pydantic validation.

Expected Results

Automated daily collection from 5+ different registry types
Intelligent routing handles iframe filters, datatables, blogs, and RSS feeds
Structured extraction: PDF URLs, titles, dates, and metadata
Date-based filtering ensures only relevant documents are processed
Vision model processing converts PDFs to structured markdown
Pydantic schema validation extracts key information with type safety
End-to-end automation: from web navigation to structured data output