# Diligent: how AI models rank it, September 2026

Finance AI Recommendation Index, September 2026 Edition. Named in 28 judge labels across 2 categories by 10 of 12 models. Page: https://finance-ai-index.com/vendors/diligent/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Entity management | 3% | 16 | 64% | 11 |
| Board and investor reporting | 2% | 20 | 71% | 17 |

## What the models said for it

- "Large public company: Diligent or Nasdaq Boardvantage (robust compliance, audit trails)" (MiniMax M2.5, Board)
- "Diligent is widely considered the gold standard." (Qwen 3.7 Flash, Board)
- "## Top Recommendation: Diligent" (GLM 4.7 FlashX, Entity management)
- "Diligent is the titan of the industry. It is highly secure and customizable but can be very expensive and complex to implement." (Gemini 3.5 Flash, Board)

## And against it

- "Diligent ($15K\u201330K+/yr) and Board Intelligence are enterprise standard but far out of budget. Skip these" (DeepSeek V4 Flash, Board)
- "I would avoid Diligent, BoardEffect, and Boardvantage if budget is the main constraint" (Perplexity Sonar, Board)
- "Legacy Systems (e.g., Diligent, CSC Entity Management): Often highly robust ... but can feel clunky, require heavy training, have longer implementation times, and carry higher price tags." (Gemini 3.5 Flash, Entity management)
- "Many legacy systems (like Diligent, Mitratech, or CSC) are designed for large multinationals, hide their pricing ... often start at tens of thousands of dollars per year." (Gemini 3.5 Flash, Entity management)

## Record

- Method: https://finance-ai-index.com/methodology/
- Raw judge labels and full responses: https://finance-ai-index.com/data/
- License: CC BY 4.0. Cite as Finance AI Recommendation Index, September 2026 Edition, finance-ai-index.com.