Maturity Level Definitions
Feature maturity levels are determined by formal criteria, not subjective assessment. These rules are enforced system-wide.
| Level | Requirements | Enterprise Note |
|---|---|---|
| ✓Production |
| Covered by SLA. Support available through enterprise channels. |
| ◐Beta |
| Best-effort support. Changes communicated 14 days in advance. |
| ◇Experimental |
| Not covered by support agreements. Use at own risk. |
Production Ready
(11 features)This feature is stable and production-ready. Results can be relied upon for business decisions.
Spreadsheet Modeling
Create and edit financial models with formulas and calculations.
Decision Summary
Generate clear, actionable decision summaries from analysis.
Beta
(8 features)This feature is functional and improving. Review results before final decisions.
Finny Analysis
AI-powered analysis and recommendations from Finny.
AI analysis is actively improving. Review results before decisions.
Known Limitations:
- •May miss edge cases in complex models
- •Recommendations should be validated
Finny Model Execution
Natural language commands to build and modify models.
LLM execution is powerful but should be reviewed.
Known Limitations:
- •Complex formulas may need adjustment
- •Context understanding is improving
Real-time Collaboration
Work together on models with live updates.
Collaboration is functional. Occasional sync delays may occur.
Known Limitations:
- •Conflict resolution is being refined
- •Large models may have brief delays
Comments & Annotations
Add comments and annotations to cells and ranges.
Comments system is stable but notifications are improving.
Monte Carlo Simulation
Run probabilistic simulations on model inputs.
Use for exploration, not final decisions.
Known Limitations:
- •Distribution assumptions should be validated
- •Large simulations may take time
Scenario Analysis
Create and compare multiple scenarios side by side.
Scenario comparison is functional. More visualizations coming.
Institutional Memory
AI-powered organizational knowledge retention.
Memory system is learning. Accuracy improves over time.
Known Limitations:
- •Historical context may be incomplete initially
- •Cross-model connections are being refined
Sensitivity Analysis
Identify which inputs most affect outputs.
Analysis is accurate. Visualization improvements coming.
Experimental
(4 features)This feature is exploratory. Use for investigation only, not for final decisions.
Advanced Analytics
Machine learning-powered pattern detection and forecasting.
Exploratory feature. Use for investigation only.
Known Limitations:
- •ML models are in early training
- •Results require expert interpretation
Anomaly Detection
Automatic detection of unusual patterns in data.
Detection algorithms are being tuned. False positives may occur.
Known Limitations:
- •May flag normal variations
- •Thresholds are being calibrated
Dynamic Models
Models that update automatically based on external data.
Dynamic refresh is in testing. Manual validation required.
Known Limitations:
- •External data connections may be unstable
- •Refresh timing is being optimized
Natural Language Queries
Ask questions about your model in plain English.
Query understanding is improving. Results may be approximate.
Known Limitations:
- •Complex queries may be misinterpreted
- •Numerical precision is approximate
About This Page
This page is automatically generated from our internal feature registry. When a feature's maturity level changes, this documentation updates automatically—no manual intervention required.
For Enterprise Users: Feature maturity directly impacts SLA coverage and support availability. Production features are fully supported. Beta features receive best-effort support. Experimental features are not covered by support agreements.
Questions about specific features? Contact us at support or see our Limitations & Known Issues page.