White Papers

GenAI risk and governance in finance operations

The right AI governance strategies can help Finance, IT, and AI Councils make safe, ethical decisions when adopting generative AI.

Generative AI has great potential and numerous capabilities. It can hold conversations, analyze business documents, and write correspondence, all using information entered into plain-language prompts from the user. However, the inner workings of AI remain poorly understood. Companies have formed AI Councils to develop mitigation strategies for any unintended consequences resulting from emergent technologies as they are integrated into financial operations.

This whitepaper explores the ethical and regulatory compliance aspects of deploying AI models within financial operations, such as accounts payable processing and employee expense report auditing. It clarifies the technical specifications that AppZen follows in creating a trustworthy AI service. It addresses ethical considerations, such as bias, explainability, and accuracy, as well as regulatory compliance from the perspective of safety, privacy, and IP protection.

Download the whitepaper now

Related resources

Webinars

The Hidden Risk of Expense Audit: Unveiling Vulnerabilities & Fraud Opportunities

More
Webinars

AI built for NetSuite AP teams: Invoice Automation

More
Webinars

Future-Proofing University Finances: The AI Advantage

More
Webinars

AI Workforce Revolution: Navigating the Future of Work in the AI Era

More
Webinars

Elevate Expense Audits: AI Insights for Productivity & Policy

More
Webinars

Evaluating GenAI for Finance

More
Webinars

Driving HCP finance compliance with AI

More
Webinars

How Applied Industrial achieved 60% fully autonomous AP processing

More
Webinars

How to Optimize Corporate Spend with Automated Compliance

More
Webinars

AI for AP: Why AI and Why Now

More