The Hidden R&D Value in Your Existing Tools
Your Jira tickets and Confluence pages contain more R&D intelligence than you realize. The problem? It's scattered, unstructured, and requires manual interpretation. AutoDoc changes everything by making your existing tools work for your SR&ED claims automatically.
The Integration Advantage
Traditional Approach
- • Manual ticket review (200+ hours)
- • Context switching between tools
- • Lost technical details
- • Inconsistent documentation
- • High error rates
AutoDoc Integration
- • Real-time data collection
- • Intelligent context preservation
- • Automatic R&D classification
- • Consistent documentation
- • 95% accuracy rate
Deep Jira Integration: Beyond Surface-Level Data
AutoDoc doesn't just read Jira tickets—it understands the technical complexity, tracks decision trails, and identifies genuine R&D activities from routine maintenance work.
Intelligent Ticket Analysis
What AutoDoc Analyzes:
- • Technical complexity scoring
- • Problem-solving methodology
- • Innovation indicators
- • Time investment patterns
- • Cross-ticket dependencies
R&D Classification:
- • Experimental development
- • Technical uncertainty resolution
- • Novel solution development
- • Systematic investigation
- • Knowledge advancement
Real-World Example
Jira Ticket: "Optimize database query performance for user analytics"
AutoDoc Analysis: Identified as R&D due to:
- • Novel indexing strategy development
- • Performance optimization experimentation
- • Technical uncertainty in scaling approach
Result: Automatically documented as eligible SR&ED activity
Confluence Intelligence: Turning Knowledge into Claims
Your Confluence pages contain the technical narratives that make SR&ED claims compelling. AutoDoc extracts and structures this knowledge automatically.
Technical Documentation Analysis
- ✓Architecture decision records (ADRs)
- ✓Technical specifications and requirements
- ✓Design patterns and methodologies
- ✓Problem-solving approaches
- ✓Knowledge sharing and collaboration
Automatic Documentation Generation
- →Technical narratives for CRA
- →R&D activity summaries
- →Innovation documentation
- →Decision trail mapping
- →Knowledge advancement tracking
The 10+ System Integration Challenge
Modern R&D teams work across multiple platforms. AutoDoc is the only solution that connects them all into a cohesive R&D narrative.
Supported Integrations
Project Management
Jira, Linear, Asana
Documentation
Confluence, Notion, GitBook
Communication
Slack, Teams, Discord
Development
GitHub, GitLab, Bitbucket
Eliminating the Back-and-Forth Forever
Traditional SR&ED processes involve endless cycles of information requests, clarifications, and revisions. AutoDoc eliminates this friction with intelligent automation.
Traditional Process (4-6 weeks)
Week 1: Consultant requests project details
Week 2: Team provides incomplete information
Week 3: Multiple clarification rounds
Week 4: First draft with missing context
Week 5: Revisions and corrections
Week 6: Final submission
AutoDoc Process (Real-time)
Continuous: Data collection from all systems
Real-time: AI analysis and classification
Instant: Documentation generation
Immediate: Human review and approval
Same day: Submission ready
Transform Your Existing Tools Today
Stop losing R&D value in scattered systems. Let AutoDoc turn your Jira and Confluence into SR&ED goldmines.
Book a Demo