# AI for bureaucratic productivity: Measuring the potential of AI to help automate 143 million UK government transactions

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/ai-for-bureaucratic-productivity-measuring-the-potential-of-ai-to-help-automate/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Vincent J. Straub,Youmna Hashem,Jonathan Bright,Satyam Bhagwanani,Deborah Morgan,John Francis,Saba Esnaashari,Helen Margetts |
| Citations | 3 |
| DOI | 10.48550/arxiv.2403.14712 |
| Fields | Business, Management and Accounting,Decision Sciences,Economics, Econometrics and Finance |
| Open Access | true |
| OA Status | green |
| OA URL | https://arxiv.org/pdf/2403.14712 |
| OpenAlex ID | https://openalex.org/W4393177855 |
| Type | preprint |
| Year | 2024 |

## Paper authors

- [Saba Esnaashari](https://scholariq.org/researchers/saba-esnaashari/)

## Paper journal

- [arXiv (Cornell University)](https://scholariq.org/journals/arxiv-cornell-university/)

## Paper primary topic

- [Stock Market Forecasting Methods](https://scholariq.org/topics/stock-market-forecasting-methods/)

## Paper topics

- [Stock Market Forecasting Methods](https://scholariq.org/topics/stock-market-forecasting-methods/)
- [Insurance and Financial Risk Management](https://scholariq.org/topics/insurance-and-financial-risk-management/)
- [Financial Distress and Bankruptcy Prediction](https://scholariq.org/topics/financial-distress-and-bankruptcy-prediction/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.