Laying Groundwork for AI: 5 Ways to Prepare Your Organization Now

Artificial Intelligence has become one of the biggest buzzwords in business and technology, dominating headlines and boardroom discussions. Yet, while AI promises transformative potential, many organizations have yet to adopt it meaningfully. This can create a sense of urgency or even fear of falling behind.

The smartest approach isn’t rushing to implement AI for the sake of implementing AI. Rushing toward the latest technology doesn’t help anyone. Technologies can be heralded as revolutionary, but if they fail to meet expectations or integrate seamlessly in everyday business operations, it can lead to wasted investments and fleeting fads.

The most critical step organizations can take today isn’t immediate AI adoption—it’s laying the groundwork to ensure AI or any other future technology, is integrated effectively when the time is right.

With that in mind, here are five practical activities your organization could work toward today that would help with your AI readiness—ensuring you’re not just keeping up with AI trends but positioning yourself to fully leverage AI and other emerging technologies when the time is right.

Strengthen Data Management

AI depends on high-quality data. In preparation for AI adoption, organizations should focus on the following:

• Ensure data from various sources is standardized and interoperable.
• Address incomplete, inaccurate, or outdated records to improve data reliability.
• Consolidate data from silos to create a unified database that AI can access and analyze.
• Establish robust metadata management to document data origins, uses, and limitations.

Modernize IT Infrastructure

AI requires modern systems to operate efficiently. To transition to an AI-ready organization, you should:

• Transition from outdated software to platforms that support AI technologies.
• Adopt cloud-based systems to enable scalable AI solutions and data storage.
• Build infrastructure that facilitates easy integration of AI tools with existing systems.

Build Organizational Capacity

One thing you can start doing today is to equip your organization with the skills and knowledge needed to adopt AI. This includes doing the following:

• Training staff on AI fundamentals, including capabilities, limitations, and ethical implications.
• Recruiting AI specialists or upskilling current employees in data science and machine learning.
• Creating a team responsible for overseeing AI strategy, implementation, and compliance (establishing AI governance).

Monitor Upcoming AI Trends

Despite all the talk about AI, many organizations and industries have yet to decide upon, implement, and utilize real AI use cases. But staying informed about AI developments can certainly help your organization be ready for AI when AI is ready for you. Follow how other organizations in your industry use AI; keep up with new AI tools and techniques in your sector, and monitor evolving AI regulations and standards.

Identify High-Impact AI Use Cases

One place to start is to focus on areas where AI could deliver immediate value. The question your organization should answer is, “What would help us the most?” You might consider use cases like AI virtual assistants for FAQs, AI anomaly detection systems, automating repetitive tasks, projecting and forecasting, etc.

At Sagitec, we pride ourselves on innovation, but we also know that true innovation isn’t about chasing trends – it is about solving real problems, fulfilling customer needs, and exceeding expectations.

As we consider what’s next for AI and Sagitec, here are things we are doing:

• We’ve developed an internal AI Governance Committee to ensure that we think through ethical, legal, and compliance regulations as we start to embrace AI for internal use and for our customers.
• We are upgrading our Platform to be AI-ready.
• We have brainstormed many AI use cases for internal efficiency and customer benefits.
• We have been experimenting with new AI tools and are working through several proof-of-concepts across our product teams.

We’re committed to continuing to talk about AI with our customers and the markets we serve.

AI has immense potential to transform businesses, but for it to truly make an impact, it needs to be implemented thoughtfully and with a clear purpose.

We are committed to continuing to discuss AI strategies and the future of AI in business with our customers and the markets we serve.