Introducing the first-ever enterprise risk framework for generative AI (GenAI), providing a detailed guide to help companies of all sizes move into responsible GenAI adoption.
Built in collaboration with over 1,000 business leaders, academics, and industry bodies, the GenAI Governance Framework is a customizable new tool enabling organizations to safely adopt GenAI while seamlessly integrating with their Enterprise Risk Management program, unique objectives, and risk tolerance.
Created in association with professors David A. Wood (Brigham Young University Marriott School), Scott Emett (Arizona State University W.P. Carey School of Business), and Marc Eulerich (University of Duisburg-Essen Mercator School of Management).
GenAI Use Cases
Powerful automation driven by sophisticated language models and generative tools able to handle ambiguous and varied unstructured data with very high accuracy.
GenAI is a very new technology, while the above are common Accounting use cases, additional use cases are continuously emerging.
ML Use Cases
Proactive data-driven actions and decisions, enhancing revenue growth, cost reduction, and improving controls and compliance.
Curious about how AI is shaping the future of finance and accounting? Our updated survey covering the second half of 2024 reveals fresh insights from nearly 150 CFOs and senior leaders across high-growth companies, spanning startups to enterprises with revenues exceeding $1 billion.
Key findings include:
• AI Adoption is Increasing -
Adoption is on the rise with 84% of organizations planning to take least one AI-powered process into active implementation.
• Accuracy is Emerging as a Major AI Value -
Despite concerns over AI hallucinations, accuracy (46%) has become the second most-cited AI benefit. Efficiency remains at the top.
• Bottom-Line Benefits Remain Elusive -
Only 31% of leaders reported cost reductions tied to AI, and revenue growth was even less common at 13%.
• Not Tapping Potential in Transactional Process Areas -
Many leaders have no plans to implement AI in transactional processes like Procure to Pay (38%) and Opportunity to Cash (49%).
• Governance and Strategy are Lagging Significantly -
A small portion of organizations have implemented an AI strategy or governance, creating major organizational risk.
We’ve explored these trends and much more, capturing the full story in our latest survey report. Don’t miss the data shaping the future—read the full summary now.
Your D2C revenue reporting shouldn’t be messy or painful. From e-commerce to subscriptions to personalized products, D2C brands embrace varying products, sales models, channels, and payment methods. Those who try to understand and reconcile sales and cash from the Apple Store know. We built the solution, complete with automation of all inputs, data harmony, clean audit trails, and proactive flags for possible issues.
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As AI becomes more embedded in financial operations, CFOs must navigate a unique set of AI risks. This article delves into the topic of risk management with a focus on several emerging GenAI risks.
AI is set to bring significant changes to the evolving role of the CFO. Explore what CFOs should focus on to fully harness the capabilities of AI and remain competitive in a complex, data-centric business environment.
Connor Group's Jason Pikoos and BYU's David Wood come together to provide a foundational understanding of AI in accounting, covering key concepts, applications, and tools that are transforming the profession.
Presenters
Jason Pikoos, Managing Partner
Connor Group
David Wood, Glenn D.Ardis Professor
BYU
Follow for weekly posts from Jason Pikoos offering practical insights on AI and automation adoption, including emerging best practices, pitfalls, and tools for getting started.
For high growth companies, we are the experts in digital solutions, like leading accounting and finance-specific AI and automation software, tailored to your needs.
We partner with other like-minded companies to focus on building the future of finance and accounting through events, research, development, and commercial partnerships.
Connor Group can provide strategic recommendations for your AI opportunities and full implementation services for these partners and many others.
Connor Group is a specialized professional services firm of Big 4 alumni and industry
executives. Our team of highly experienced professionals helps financial executives
with their most complex and significant matters, including financial accounting and
operations, IPO and M&A services, digital solutions, and managed services. Our
clients are the world’s top growth companies and we support them as they change
the world and create new markets!
Our client portfolio includes multi-billion-dollar public, mid-cap public, and pre-IPO
companies ranging from early stage to late stage. Our global clients represent the
most exciting industries including high tech, Internet, social networking, gaming,
software, ad tech, cleantech, life sciences, financial services, consumer products,
biotech, services, and manufacturing.
Our goal at Connor Group is to be the most respected firm across our service lines
by delivering the highest quality services to our clients. We are hired by finance and
accounting executives who understand the importance of leveraging their time as
well as having a partner that can successfully execute their needs
Connor Group has led the way forward at every major change in finance and accounting since 2006.
Multi-element revenue guidance, ASC 326, ASC 606, ASC 842, and ESG implementation expertise
380+ automation projects with market leaders and market disruptors
We develop a deep understanding of new standards to lead out in implementing them practically