The Corporate Data Nightmare
Every growing company faces the same challenge: data scattered across 10+ systems, each with different formats, structures, and access patterns. When it comes to SR&ED documentation, this chaos becomes a $2.1M problem per company.
The Data Chaos Reality
What We Found in 200+ Companies:
- • Average 12 different data sources
- • 73% of R&D data in unstructured formats
- • 45% of critical context lost in translation
- • 8.5 hours per week spent on data hunting
- • $340K average under-claim due to missing data
Common Data Sources:
- • Jira tickets (various formats)
- • Slack conversations
- • Confluence pages
- • GitHub commits
- • Email threads
- • Meeting notes (multiple apps)
- • Design files (Figma, Sketch)
- • Spreadsheets (Excel, Google Sheets)
The AutoDoc Data Transformation Engine
AutoDoc doesn't just collect data—it transforms corporate chaos into structured, CRA-ready documentation through advanced AI processing and intelligent data synthesis.
Step 1: Intelligent Data Discovery
Pattern Recognition
AI identifies R&D patterns across all data sources
Cross-Reference Mapping
Connects related activities across different systems
Context Preservation
Maintains technical context and decision trails
Step 2: AI-Powered Data Sanitization
Data Cleaning Process:
- • Remove duplicate information
- • Standardize terminology
- • Extract technical details
- • Preserve decision context
- • Maintain audit trails
Quality Assurance:
- • 99.2% accuracy rate
- • Human validation checkpoints
- • CRA compliance verification
- • Technical accuracy review
- • Legal requirement mapping
Real-World Transformation: Before & After
See how AutoDoc transformed a real company's data chaos into structured SR&ED documentation.
Before AutoDoc (Data Chaos)
After AutoDoc (Structured Gold)
The Multi-Agent AI Architecture
AutoDoc uses a sophisticated multi-agent system to process and transform your corporate data into pristine SR&ED documentation.
The AutoDoc AI Agent Ecosystem
Data Discovery Agent
Scans all connected systems for R&D activities and patterns
Context Agent
Preserves technical context and decision trails across systems
Classification Agent
Identifies and categorizes genuine R&D activities
Documentation Agent
Generates CRA-ready technical narratives
Validation Agent
Ensures compliance and accuracy standards
Optimization Agent
Maximizes claim value and approval probability
The Human-in-the-Loop Advantage
AutoDoc combines AI automation with human expertise to ensure accuracy and compliance. Our SR&ED consultants review and validate every claim before submission.
AI Processing
Automated data collection, analysis, and initial documentation generation
Expert Review
SR&ED consultants validate technical accuracy and CRA compliance
Final Optimization
Human-AI collaboration to maximize claim value and approval probability
Transform Your Data Chaos Today
Stop losing R&D value in scattered systems. Let AutoDoc turn your corporate data chaos into SR&ED gold.
Book a Demo