Roadmap¶

TAMINATOR Development Roadmap

Current Release: v2.1.0 (November 2025)¶

✅ Shipped Features¶

Intelligence Engine: - ✅ Pattern-based email analysis (89% accuracy) - ✅ Case number extraction (95% accuracy) - ✅ Customer identification (92% accuracy) - ✅ Issue classification (Licensing, Technical, Guidance, Strategic) - ✅ Contact extraction with role detection - ✅ Urgency assessment with deadline calculation - ✅ Action recommendations with routing logic - ✅ Confidence scoring for all predictions

Data & Persistence: - ✅ SQLite embedded database - ✅ Case intelligence history - ✅ Feedback recording system - ✅ Accuracy tracking over time - ✅ Database health checks

User Interface: - ✅ Intelligence Analyzer interface - ✅ Dashboard analytics - ✅ Customer management - ✅ RFE/Bug tracking - ✅ Report generation - ✅ Settings management

Deployment: - ✅ Container deployment (Podman/Docker) - ✅ Systemd service integration - ✅ AppImage for Linux - ✅ DMG for macOS (Intel + Apple Silicon) - ✅ EXE installer for Windows - ✅ Self-healing with auto-restart

Integrations: - ✅ JIRA API integration - ✅ Customer Portal API - ✅ rhcase bot integration - ✅ Red Hat SSO authentication

Documentation: - ✅ Complete user guide - ✅ Deployment documentation - ✅ Architecture documentation - ✅ API reference

v2.1.x - Refinement Release (Q4 2025)¶

🚧 In Development¶

Team Collaboration: - 🚧 Pattern sharing across team members - 🚧 Team intelligence dashboard - 🚧 Shared customer insights

Customization: - 🚧 Custom pattern editor (GUI) - 🚧 Pattern testing interface - 🚧 Import/export custom rules

Data Management: - 🚧 Export intelligence data (JSON/CSV) - 🚧 Import historical data - 🚧 Backup/restore workflows

Target: December 2025¶

v2.2.0 - Learning & Feedback (Q1 2026)¶

📋 Planned Features¶

Advanced Pattern Learning: - 📋 Automated pattern optimization from TAM feedback - 📋 A/B testing for analysis rules - 📋 Pattern effectiveness scoring - 📋 Automatic pattern deprecation for low-performing rules

Feedback System: - 📋 One-click feedback on analysis results - 📋 Bulk feedback processing - 📋 Feedback analytics dashboard - 📋 TAM contribution leaderboard

Accuracy Improvements: - 📋 Multi-language support (Spanish, Portuguese) - 📋 Industry-specific patterns (Finance, Healthcare, Government) - 📋 Product-specific patterns (AAP, RHEL, OpenShift) - 📋 Historical case analysis for pattern discovery

Target: March 2026¶

v2.3.0 - Team Intelligence (Q2 2026)¶

📋 Planned Features¶

Centralized Intelligence: - 📋 Shared pattern library (Red Hat-wide) - 📋 Best practices repository - 📋 Team pattern approval workflow - 📋 Pattern versioning and rollback

Collaboration: - 📋 Team-wide accuracy metrics - 📋 Pattern contribution tracking - 📋 Knowledge base integration - 📋 Collaborative pattern refinement

Analytics: - 📋 Team performance dashboard - 📋 Customer intelligence trends - 📋 Issue type distribution analysis - 📋 Escalation pattern analysis

Target: June 2026¶

v2.4.0 - Predictive Intelligence (Q3 2026)¶

📋 Planned Features¶

Predictive Analysis: - 📋 Issue escalation prediction - 📋 Customer health scoring - 📋 Churn risk assessment - 📋 Proactive case recommendations

Advanced Intelligence: - 📋 Sentiment analysis (urgency detection) - 📋 Priority scoring algorithms - 📋 Workload balancing suggestions - 📋 SLA risk detection

Automation: - 📋 Auto-routing to correct teams - 📋 Auto-assignment based on expertise - 📋 Auto-escalation triggers - 📋 Auto-follow-up reminders

Target: September 2026¶

v3.0.0 - AI Integration (Q4 2026)¶

📋 Planned Features¶

Ansai Integration (Internal TAM Use Only): - 📋 Fabric patterns for TAM documentation - 📋 LiteLLM for training materials - 📋 AI-assisted report writing (non-customer data) - 📋 Knowledge base generation from public documentation

Advanced Analysis (Offline Only): - 📋 Enhanced pattern matching with local ML models - 📋 Contextual analysis improvements - 📋 Relationship mapping between cases - 📋 Trend detection and forecasting

Compliance: - 📋 Clear separation: Customer data vs. Internal data - 📋 Audit trails for all AI usage - 📋 User consent for AI features - 📋 Opt-out options for all AI capabilities

Target: December 2026¶

Features NOT Planned¶

❌ Out of Scope¶

External AI APIs: - ❌ ChatGPT/Claude/Other cloud AI for customer data - ❌ Cloud-based intelligence processing - ❌ External data storage - ❌ Third-party analytics services

Reason: Red Hat policy compliance. Customer data must stay local and offline.

Consumer Features: - ❌ Public SaaS offering - ❌ Non-Red Hat user support - ❌ General-purpose email analysis

Reason: Taminator is purpose-built for Red Hat TAMs.

Platform Expansion: - ❌ Mobile apps (iOS/Android) - ❌ Browser extensions - ❌ Slack/Teams bots

Reason: Limited team resources, focus on core TAM workflows.

💡 Proposed Ideas (Under Consideration)¶

Community Contributions: - 💡 Open-source pattern library - 💡 Plugin system for custom analyzers - 💡 Integration marketplace

Advanced Workflows: - 💡 Multi-case analysis (trends across portfolio) - 💡 Customer journey mapping - 💡 Automated reporting to management

Intelligence Sharing: - 💡 Anonymous intelligence sharing across Red Hat - 💡 Industry benchmark comparisons - 💡 Best practices recommendations

Vote on Features: GitLab Discussions

How to Influence the Roadmap¶

1. Submit Feature Requests¶

Create an Issue with: - Clear use case description - Expected behavior - Impact on your workflow - Proposed implementation (optional)

2. Vote on Existing Requests¶

• 👍 Upvote issues you care about
• 💬 Comment with your specific use case
• 🏷️ Add relevant labels

3. Contribute Patterns¶

• Share analysis patterns that work well
• Document edge cases you've discovered
• Suggest improvements to existing patterns

4. Join Beta Testing¶

• Test new features before release
• Provide detailed feedback
• Help identify bugs and usability issues

Release Schedule¶

Cadence: - Major releases (x.0.0): Quarterly - Minor releases (x.x.0): Monthly - Patch releases (x.x.x): As needed

Support: - Current release (2.1.x): Full support - Previous release (2.0.x): Bug fixes only - Older releases: No support (upgrade recommended)

Version History¶

Communication Channels¶

Announcements: - GitLab Releases: Taminator Releases - Slack: #taminator-intelligence (coming soon) - Email: [email protected]

Feedback: - GitLab Issues: Report bugs - Feature Requests: Request features - Direct Contact: [email protected]

Roadmap Transparency¶

This roadmap is a living document and will be updated as: - Priorities shift based on TAM feedback - New requirements emerge - Resources become available - Technology evolves

Last Updated: November 11, 2025
Next Review: December 2025

Philosophy: Build what TAMs need, when they need it. Nothing more, nothing less.

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