The CFO AI digest: June 27

Gayatri Sabharwal

Content Marketing

You already know AI is moving fast. The question is: how can CFOs and their teams use it better?

Today, we’re launching a weekly roundup highlighting the latest AI developments impacting the finance function. Each Friday, we’ll cover the new trends, tools, and legal rulings shaping AI and finance.

This week, we kick off the series by spotlighting AI-driven innovation across partnerships, corporate finance automation, and financial planning solutions. Key themes include the continued acceleration of agentic AI developments, real-time market intelligence, and the rapid scaling of personalized financial tools.

Here’s the breakdown:

1. Google DeepMind launches Gemma 3n for multimodal, on-device intelligence

Gemma 3n can run advanced AI tasks, like analyzing text, images, audio and video, locally on a phone or laptop, with speed and accuracy that previously required powerful cloud servers.

CFO takeaway: Advancements in running AI models on local devices could reduce cloud costs and help protect your company's most sensitive data.

Example: A fintech company could build a mobile budgeting app that analyzes spending data locally, delivering insights without exposing user data.

2. Court backs fair use of copyrighted books for AI training

A U.S. federal court ruled that training AI models on copyrighted books qualifies as fair use. This is an impactful decision for the many authors, artists, and other creatives who have sued leading AI companies.The ruling specified that using pirated materials remains unlawful, however.

CFO takeaway: New legal clarity around AI training data could make it easier to build models using public financial datasets, while reinforcing the importance of sourcing data responsibly.

Example: Under current legal precedent, a financial firm's compliance team can now confidently use vast, legitimately sourced public financial reports to train an AI for things like market trend analysis.

3. Benzinga partners with WNSTN to launch BenzingaAI

Financial news and data provider Benzinga has teamed up with financial AI platform WNSTN to launch BenzingaAI, a real-time market intelligence platform built for financial services, with regulatory compliance baked in.

CFO takeaway: The rise of real-time, compliance-ready AI platforms could accelerate decision-making in finance while reducing reliance on manual market analysis.

Example: Instead of waiting on delayed market recaps or parsing PDFs, a CFO can instantly see how a macro event is impacting FX risk across regions and take action before the market closes.

4. Google launches its own CLI tool

Google launched Gemini CLI, an open-source AI agent that leverages the Gemini LLM model to deliver AI-powered assistance directly to developers. Developers can make 1,000 requests for free each day.

CFO takeaway: Finance teams can build custom finance tools with natural language, making lightweight automation more accessible than with typical “vibecoding” platforms like Claude Code or Cursor.

Example: Using Gemini CLI to write a plain-language prompt that generates a Python script to monitor daily API usage from a vendor billing integration, saving hours of manual tracking or the need for outsourced development.

5. IBM’s launches AI governance platform

IBM introduced the industry’s first unified software platform for AI governance and security, built to help enterprises manage both AI agents and generative AI systems at scale.

CFO takeaway: AI governance platforms like IBM’s could help finance teams reduce risk by centralizing oversight of models used in forecasting, fraud detection, and regulatory reporting.

Example: A global bank could use the platform to automatically monitor AI-driven fraud detection systems for bias, data leakage, and compliance with emerging AI laws, centralizing control across various use cases for this technology.

6. Anthropic launch

Anthropic launched "artifacts" and "AI-powered apps" in Claude, allowing users to build functional AI tools simply by describing them, with no coding required.

CFO takeaway: Finance teams can now rapidly prototype and deploy internal AI tools in-house, at a low cost and without technical expertise.

Example: A finance professional could use Claude to build an app that automatically generates and summarizes daily cash flow reports, adapting in real time to new data formats.

7. Quinn Secures $11M Seed Funding to Scale AI-Driven financial Advice platform

Quinn, an AI-powered financial advisory platform, secured $11 million in seed funding to help financial institutions deliver personalized planning services to a much broader audience, breaking past traditional advisor-to-client limits.

CFO takeaway: Scaling personalized financial advice across a broader client base is becoming more feasible, unlocking new ways to grow advisory capacity and revenue without adding headcount.

Example: Instead of waiting on delayed market recaps or parsing PDFs, a CFO could instantly see how a macro event is impacting FX risk across regions and take action before the market closes.