Feature Status

Current maturity status of all FinanceModel capabilities

Last updated: December 15, 2025 · Data rendered automatically from feature registry

23
Total Features
11
Production
8
Beta
4
Experimental

Maturity Level Definitions

Feature maturity levels are determined by formal criteria, not subjective assessment. These rules are enforced system-wide.

LevelRequirementsEnterprise Note
Production
  • Enabled in all production environments
  • Backward compatibility guaranteed
  • Covered by monitoring and alerting
Covered by SLA. Support available through enterprise channels.
Beta
  • Enabled for limited users or organizations
  • Core functionality stable and tested
  • Basic monitoring in place
Best-effort support. Changes communicated 14 days in advance.
Experimental
  • Disabled by default or internal only
  • Opt-in with explicit acknowledgment
  • Clear labeling in all interfaces
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

Production

Create and edit financial models with formulas and calculations.

Formula Engine

Production

Full formula support with Excel-compatible syntax.

Cell Formatting

Production

Number formats, conditional formatting, and cell styles.

Document Ingestion

Production

Upload and parse documents to extract financial data.

Excel Import

Production

Import existing Excel workbooks with full fidelity.

Excel Export

Production

Export models to native Excel format with full compatibility.

Decision Summary

Production

Generate clear, actionable decision summaries from analysis.

PDF Export

Production

Export formatted reports as PDF documents.

Audit Trail

Production

Complete history of all changes with timestamps and users.

Version Control

Production

Save, compare, and restore model versions.

Access Control

Production

Role-based permissions and sharing controls.

Beta

(8 features)

This feature is functional and improving. Review results before final decisions.

Finny Analysis

Beta

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

Beta

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

Beta

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

Beta

Add comments and annotations to cells and ranges.

Comments system is stable but notifications are improving.

Monte Carlo Simulation

Beta

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

Beta

Create and compare multiple scenarios side by side.

Scenario comparison is functional. More visualizations coming.

Institutional Memory

Beta

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

Beta

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

Experimental

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

Experimental

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

Experimental

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

Experimental

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.

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