Transform Your Code Into
Crystal-Clear Documentation
An AI-powered solution that turns complex codebases into documentation that your team will actually use
What is AutoDoc?
AutoDoc is an AI-powered documentation platform that understands your code, your context, and your business. We turn complex software systems into clear, structured documentation automatically.
Handles secure transaction processing with fraud detection, payment gateway integration, and automated reconciliation.
Deep Code Understanding
Analyzes your algorithms, business logic, and system architecture to understand what the code actually does
Structured Documentation
Creates clear, organized documentation with visual diagrams, flowcharts, and plain-language explanations
Always Up-to-Date
Syncs with your codebase twice monthly, automatically updating documentation as your system evolves
Built for Your Team
Integrates with Confluence, Jira, and GitHub. Documentation lives where your team already works
Documentation Generator
Our flagship feature. Turns your most complex code into documentation that actually makes sense.
How It Works
Connect
Link your GitHub repos and Confluence workspace in minutes
Analyze
AI reads your code, identifies patterns, and understands context
Generate
Creates structured docs with diagrams, explanations, and examples
Sync
Publishes to Confluence and updates automatically every 2 weeks
How AutoDoc Actually Works
A sophisticated AI pipeline built for complex software systems
Integration & Ingestion
Step 1Secure connection to your GitHub repositories, Jira projects, and Confluence workspace. We ingest your codebase, commit history, pull requests, and existing documentation.
Intelligent Parsing & Code Splitting
Step 2Advanced AST (Abstract Syntax Tree) parsing breaks down your system into logical components. We identify functions, classes, dependencies, and their relationships.
Custom Logic & Context Understanding
Step 3This is where the magic happens. Our AI applies industry-specific understanding, recognizing patterns in your domain, business logic, and system architecture.
Semantic Embeddings & Vector Storage
Step 4Every code component is converted into high-dimensional vector embeddings that capture semantic meaning. Stored in our optimized vector database for lightning-fast retrieval.
RAG-Powered Documentation Agent
Step 5Our specialized agent uses Retrieval-Augmented Generation (RAG) to create documentation. For each component, it retrieves relevant context from the vector database and generates human-readable explanations.
Intelligent Document Structure
Step 6The agent creates a logical structure tailored to your needs. Each document includes purpose, technical details, business context, dependencies, usage examples, and troubleshooting guides.
Confluence Publishing & Sync
Step 7Documentation is automatically published to your Confluence workspace, organized by your preferred structure. Every 2 weeks, we sync with your latest code and update documentation automatically.
What Makes This Powerful
Not just another documentation tool
Real Example: From Code to Documentation
See the transformation in action
Before
- • No explanation of business logic
- • New devs take weeks to understand
- • High risk of introducing bugs
- • Knowledge trapped in senior devs' heads
After AutoDoc
🎯 Purpose
Processes secure transactions by validating payment methods, checking fraud indicators, and coordinating with payment gateways for authorization and settlement.
📊 Process Flow
💼 Business Impact
Critical for revenue processing. Balances security with user experience.
- • Anyone on the team can understand
- • New devs productive in days, not weeks
- • Clear business context for every function
- • Safer updates and lower bug risk
Enterprise-Grade Security
Built Into Every Layer
Bank-level security architecture with complete control, visibility, and compliance at every step of your data pipeline
Multi-Layer Security Architecture
Layer 1: Network & Infrastructure
FOUNDATIONPrivate network segments with zero external access by default
Web application firewall with DDoS mitigation and threat detection
Latest encryption standards for all data in transit
Layer 2: Authentication & Authorization
IDENTITYEnterprise SSO with Okta, Azure AD, Auth0
Token-based auth with automatic rotation
Multi-factor authentication required for all access
Fine-grained role and attribute-based access control
Layer 3: Data Protection & Privacy
ENCRYPTIONMilitary-grade encryption for all stored data
Automatic detection and redaction of sensitive data
Automated 90-day key rotation with zero downtime
Bring your own keys via AWS KMS, Azure Key Vault, or HashiCorp Vault. You control encryption, we never see your keys.
Layer 4: LLM Security & Evaluations
AI SAFETYPrompt injection prevention, malicious input detection, content filtering
Every LLM response evaluated for accuracy, hallucination, toxicity, PII leakage
Multi-tenant data separation with zero cross-contamination
Your data never used for training. Private model deployments available.
Layer 5: Monitoring, Logging & Alerting
VISIBILITYEvery action logged with full traceability
- • User authentication attempts
- • Data access patterns
- • API calls with full payloads
- • Configuration changes
Instant notifications on security events
- • Anomalous access patterns
- • Failed auth attempts
- • Data exfiltration attempts
- • Rate limit violations
Complete observability stack
- • Request tracing (OpenTelemetry)
- • Metrics & dashboards
- • Error tracking & replay
- • SLA monitoring
Export logs to your security information and event management system (Splunk, Datadog, Elastic, etc.)
Layer 6: Access Control & Compliance
GOVERNANCEAuto-rotate API keys, DB creds, certificates every 30-90 days
Full document versioning with rollback and audit trail
Choose your data region: US, EU, CA, UK, AU
Complete data purge within 30 days on request
Cloud Deployment
Managed multi-tenant SaaS with enterprise security
- ✓Automatic updates and patches
- ✓99.9% uptime SLA
- ✓Global CDN with edge caching
- ✓Auto-scaling infrastructure
- ✓Multi-region redundancy
- ✓Managed backups & disaster recovery
Self-Hosted / On-Premise
Deploy in your VPC or private cloud for maximum control
- ✓Deploy in your AWS/Azure/GCP account
- ✓Air-gapped installation available
- ✓Full control over data and infrastructure
- ✓Custom networking and security policies
- ✓Kubernetes/Docker deployment
- ✓Offline mode for sensitive environments
Built for Compliance
Our architecture is designed from the ground up with enterprise compliance requirements in mind. All necessary controls and audit mechanisms are in place to achieve certification.
Architecture ready
Privacy controls
Security framework
InfoSec standards
Data rights ready
All controls, logging, encryption, and access mechanisms architected to meet compliance requirements
Intelligent Code Assistant
Ask questions about your codebase in plain English. Get instant, accurate answers with code examples and context.
How does our payment processing handle fraud detection?
The PaymentProcessor detects fraud in 3 steps:
- 1. Validates transaction patterns against user history
- 2. Checks risk scores from third-party fraud APIs
- 3. Flags high-risk transactions for manual review
📄 Source: PaymentProcessor.ts, lines 156-203
Natural Language Queries
Ask questions like you're talking to a senior developer who knows your entire codebase
Context-Aware Answers
Understands your system architecture, business rules, and technical decisions
Code Examples
Gets specific code snippets, line numbers, and implementation details instantly
Instant Knowledge
No more hunting through thousands of lines of code or waiting for the one person who knows
The Cost of Poor Documentation
How inadequate R&D documentation costs companies millions
Description
Can we split Physical Count (Variance) into 2 columns? We have Cost and Sold, can we add a Total Cost column? Cost X Sold
Acceptance Criteria
- Split variance into separate columns
- Add total cost calculation
- Update UI to show new columns
Missing Technical Evidence
- • No implementation details or technical complexity
- • Missing code references and commit history
- • No R&D terminology or innovation markers
- • Unclear technical requirements and challenges
Missing Technical Context
Key Information Missing:
- • No explanation of technical complexity
- • Missing implementation challenges
- • No performance considerations
- • Unclear technical requirements
No Evidence Trail
Missing commits and documentation
No Time Tracking
Development effort not quantified
No R&D Terms
Innovation criteria not identified
No CRA Mapping
R&D criteria not addressed
Claim Status
Rejected by CRA
Lost Value
$360,000+ CAD
Don't Let Poor Documentation Cost You
See how AutoDoc transforms your development documentation into successful R&D claims
AutoDoc R&D Sanitizer in Action
Watch the same ticket transform into a successful R&D claim
Enhanced Description
Development of an innovative bifurcation algorithm for real-time variance tracking and cost impact analysis in inventory management systems.
Technical Innovation
- Novel real-time processing algorithm
- Advanced data integrity patterns
- Performance optimization techniques
Enhanced Technical Analysis
Technical Uncertainties
- • Performance optimization
- • Data integrity challenges
- • Scalability considerations
Technical Advancement
- • Novel tracking methodology
- • Real-time processing innovation
- • Advanced data patterns
R&D Terminology
Added innovation markers
Evidence Trail
Linked code commits
Innovation Type
Algorithmic advancement
CRA Compliance
Mapped to R&D criteria
Development Time
40+ hours tracked
R&D Value
$240,000 CAD eligible
Successful R&D Claim Transformation
Same ticket, enhanced documentation, maximum value captured
How Enterprises Work With AutoDoc for SR&ED
Complete privacy, security, and control throughout the entire SR&ED documentation process
Secure Integration Flow
Initial Setup & Secure Access
Access Configuration
- • OAuth integration with your systems
- • Read-only API access to Jira/GitHub
- • Scoped permissions (no write access)
- • Time-limited tokens with auto-rotation
Data Intake Preferences
- • Define what data to include/exclude
- • Set PII detection sensitivity
- • Configure anonymization rules
- • Specify retention policies
Your Infrastructure, Your Control
Self-Hosted AutoDoc SDK (Optional)
Deploy AutoDoc processing within your own cloud environment. Data never leaves your infrastructure.
Automatic Data Sanitization
PII Detection & Redaction
- • Names, emails, phone numbers
- • Addresses and locations
- • Social security numbers
- • Credit card information
- • API keys and secrets
Smart Anonymization
- • Replace with tokens (reversible)
- • Preserve data structure/format
- • Maintain referential integrity
- • Custom rules per data type
- • Audit log of all redactions
Secure AI Processing
AutoDoc Agent
- • Processes sanitized data only
- • No raw PII ever processed
- • Isolated execution context
- • Memory cleared after processing
Real-Time Evals
- • Every output evaluated
- • Hallucination detection
- • Accuracy verification
- • PII leakage prevention
Full Observability
- • Complete audit trail
- • Request/response logging
- • Performance metrics
- • Error tracking & alerts
CRA-Ready SR&ED Documentation
Deliverables
- • Technical narratives with R&D terminology
- • Evidence trails linked to commits
- • Time tracking and effort quantification
- • CRA criteria mapping
- • Supporting documentation package
Privacy Preserved
- • All sensitive data remains redacted
- • No PII in final documentation
- • Secure delivery to your systems
- • Complete audit trail available
- • Data retention per your policy
Data Sovereignty
Your data stays in your infrastructure. Optional self-hosted deployment for complete control.
Privacy First
Automatic PII detection and anonymization. No sensitive information ever processed by LLMs.
Full Transparency
Complete observability with audit logs, evaluations, and monitoring at every step.
Beyond Documentation
AutoDoc offers additional features to maximize the value of your development work.
R&D Tax Credits
We can help identify and document eligible R&D work for tax credit claims
Code Analytics
Track complexity, technical debt, and code quality metrics over time
Smart Search
Semantic code search across your entire platform with natural language
The Real Value
Real, measurable impact on your development efficiency and team productivity.
Cost-Benefit Analysis
Without AutoDoc
With AutoDoc
Frequently Asked Questions
How long does setup take?
Initial setup takes about 1-2 hours. You'll connect your GitHub, Jira, and Confluence, and we'll start analyzing your codebase immediately. First documentation is ready within 48 hours.
Will this disrupt our development process?
Not at all. AutoDoc works in the background, analyzing code as it's committed. Your team continues working exactly as they do today. Documentation appears automatically in Confluence.
What if the AI gets something wrong?
Our AI is highly accurate, but you have full editorial control. You can review, edit, or refine any generated documentation. The AI learns from your corrections over time.
How is our code kept secure?
We take security seriously. All code analysis happens in isolated environments. Data is encrypted in transit and at rest. We never train our models on your proprietary code.
Can we customize the documentation style?
Yes! You can set preferences for structure, detail level, and style. We can match your existing documentation standards or help you create new ones.
Ready to Transform Your Documentation?
Let's turn your complex codebase into crystal-clear documentation that drives team productivity.
Questions? Email us at contact@autodocai.io