6 keys to genAI success in 2025
While genAI has been a hot topic for the past couple of years, organizations have largely focused on experimentation. In 2025, that’s going to change. It’s the year organizations will move their AI initiatives into production and aim to achieve a return on investment (ROI).
But first, they’ll need to overcome challenges around scale, governance, responsible AI, and use case prioritization. Here are five keys to addressing these issues for AI success in 2025.
1. Identify your top genAI use cases. For organizations seeking productivity and innovation gains, a best practice is to prioritize use cases based on value, feasibility, and breadth. To determine value, ask yourself questions like: How strategic is this use case? Does it contribute to business outcomes such as revenue, sustainability, customer experience, or saving lives?
To evaluate feasibility, ask: Do we have internal data and skills to support this? What are the associated risks and costs, including operational, reputational, and competitive?
Finally, when evaluating scope or breadth, go broad when there’s competition for resources and narrow if there’s hesitation toward adoption.
2. Evaluate processes that can be improved with genAI. When thinking implementation, first consider how genAI can improve existing business processes.
Next, explore potential new workflows or processes that genAI can create to improve productivity, increase innovation, and/or provide competitive differentiation.
3. Prioritize data quality and security. For AI models to succeed, they must be fed high-quality data that’s accurate, up-to-date, secure, and complies with privacy regulations such as the Colorado Privacy Act, California Consumer Privacy Act, or General Data Protection Regulation (GDPR).
Adhering to these practices also helps build trust in data. That said, watch for data bias. Put robust governance and security practices in place to enable responsible, secure AI that can scale across the organization.
4. Invest in internal or outsourced skills. Like any new technology, organizations typically need to upskill existing talent or work with trusted technology partners to continuously tune and integrate their AI foundation models. The same holds true for genAI.
Organizations should create a cross-functional team comprised of people who are already building, managing and governing existing AI initiatives in order to lay the foundation for genAI and select the appropriate AI solutions or models.
5. Increase adoption through change management. Driving genAI adoption requires organizations to incorporate it into company culture and processes. Change management creates alignment across the enterprise through implementation training and support.
Find a change champion and get business users involved from the beginning to build, pilot, test, and evaluate models. Ask for input on challenges and needed efficiencies and provide credit for employee contributions.
6. Track ROI and performance. GenAI operations and business automation teams must look at value and complexity against cost to determine which use cases provide the highest return for their investment. The goal should be to use lower-cost automation technologies and low-code platforms when possible, and genAI as needed.
When it comes to performance, the KPIs for business processes are the same with AI-enhanced improvements. Some of these include: greater efficiencies and productivity around process improvements, faster cycle times, higher customer satisfaction, and market share gains through innovation.
Work with expert partners
Many organizations struggle to ensure successful AI and genAI implementations. That can be due to a lack of skillsets, concerns about risks or integration complexity, or identifying the right use case that will deliver ROI.
Turn to experts for guidance and support. Ask how you can customize genAI to meet organization’s needs and ensure business value.
For example, Argano works with companies across industries to design and deploy AI and genAI solutions that streamline operations, increase agility, and drive sustainable growth. Consultants can help you develop and execute a genAI strategy that will fuel your success into 2025 and beyond.
Click here to learn more about how you can advance from genAI experimentation to execution.
