Navigating the path to GenAI for enterprise compliance

Jas Randhawa, Jon Lo and Will Hayk Karapetyan
Additional contact information
Jas Randhawa: Managing Partner, StrategyBRIX, USA
Jon Lo: Managing Director, StrategyBRIX, USA
Will Hayk Karapetyan: Consulting Manager, StrategyBRIX, Canada

Journal of Financial Compliance, 2025, vol. 9, issue 1, 71-79

Abstract: Generative artificial intelligence (GenAI) represents a paradigm shift in today’s reality, influencing every major area of the enterprise function. Organisations in every sector look for ways to capitalise on the operational and functional efficiencies that the tool enables. Compliance represents one of the more challenging yet vital functions in enterprises, often pressured with ever-evolving regulatory requirements across industries; the complexity, resource intensity and the high cost of failure emphasise the high risk of the function. Artificial intelligence offers the opportunity to automate, standardise and streamline the organisation’s compliance areas, such as data governance, risk detection and response, policy management, continued monitoring and reporting, compliance and risk assessment. This paper provides a highlevel guideline for evaluating the enterprise compliance function for GenAI implementation while addressing its regulatory requirements and implementation challenges. It summarises key areas of AI implementation in compliance with an example of GenAI implementation at StrategyBRIX. This paper covers best practices for implementing GenAI, including data readiness assessment, organisational fit test, data privacy, security and scalability, challenges and regulatory requirements and maintenance of an AI programme. This paper concludes with practical next steps and further considerations for a GenAI enterprise adoption. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

Keywords: AI in compliance; GenAI implementation challenges; AI regulatory requirements; enterprise AI implementation; AI risk management; AI governance considerations (search for similar items in EconPapers)
JEL-codes: E5 G2 K2 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://hstalks.com/article/9746/download/ (application/pdf)
https://hstalks.com/article/9746/ (text/html)
Requires a paid subscription for full access.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aza:jfc000:y:2025:v:9:i:1:p:71-79

Access Statistics for this article

More articles in Journal of Financial Compliance from Henry Stewart Publications
Bibliographic data for series maintained by Henry Stewart Talks ().