Move beyond AI excitement into informed, strategic, sustainable AI implementation with ImageSource’s best practices and lessons learned.
With AI’s rapid evolution, organizations are eagerly seeking ways to incorporate it into their operations. While the enthusiasm around AI is strong, the pathway to implementation is often unclear. Decision-makers still struggle to pinpoint which AI tools hold the most potential value, which business processes to enhance, and how to integrate AI into their tech systems without disruption.
Organizations adopting AI strategically create ripple effects—stronger businesses, happier employees, and more effective public institutions. Investing the upfront time to build informed, actionable strategies is the key to successfully leveraging AI for measurable outcomes.
Over three decades of helping customer partners adopt increasingly sophisticated artificial intelligence solutions, we’ve honed our best practices for identifying and implementing AI technologies. Below are our top recommendations to help organizations embark on their AI journey.
With IT spending projected to exceed $3.4 trillion by 2026, AI is becoming a cornerstone of enterprise strategy. Terms like Generative AI, Large Language Models (LLMs), and Visual Language Models (VLMs) highlight the transition from predictive to creative outputs. As AI capabilities expand, hybrid approaches combining text, image, and audio modalities are expected to become the norm.
Publicly available AI solutions like ChatGPT are trained on vast, unknown bodies of content, which raises questions about the nature and accuracy of the training material and issues related to intellectual property. In the quest to increase productivity, users may inadvertently amplify misinformation or bias. Leaders must be selective in identifying AI solutions that offer enterprise-wide benefits while limiting risks. While any generative AI delivers original output, domain-specific AI applications trained on (and limited to) organizational content are critical for tailoring outcomes to organizational needs.
Key Statistic: By 2028, a third of customer interactions will be powered by generative AI, with half of enterprise AI spending dedicated to domain-specific solutions.
Organizations must approach AI deployment by seeking a strategic balance between achieving quick wins and setting the stage for long-term transformation. While most end users already understand the value of GPT models for personal productivity, leaders should adopt an enterprise-wide approach to AI initiatives. Decision-makers should prioritize solutions that align with overarching business goals, such as enhancing customer retention or automating repetitive tasks.
Recommendation: Begin by identifying repetitive, error-prone processes that have clear ROI potential for your organization, then identify AI solutions that can improve their efficiency and accuracy. Examples include automating multi-step workflows or using AI-driven chatbots to streamline customer service interactions.
AI can profoundly transform both organizational operations and the lives of individuals it touches, especially in the areas of empowering professionals, improving service delivery, and enhancing equity. Here are some use cases where we see powerful impacts:
Well-orchestrated, AI-enhanced processes improve the quality of customer-facing interactions by delivering customer services and support 24/7, fully remotely. AI eliminates bottlenecks and process errors to reduce frustration for people interacting with organizations in a digital-first environment.
AI is not just a technical innovation but a tool with the potential to enhance human experiences by fostering efficiency, empathy, and equity in both professional and personal spheres.
While the benefits of AI are enticing, implementation can face the same hurdles as any other significant technology initiative. Projects can come with high costs, lengthy deployment timelines, and a steep learning curve. These barriers can be overcome with a deliberate, well-informed, and strategic approach. By following these three tips, any organization can achieve success.
As the AI landscape evolves, businesses must adapt to remain competitive. By 2030, every aspect of IT will engage with some form of AI, making it indispensable for operations in every industry. Today’s organizations are encouraged to explore AI solutions early, identifying the use cases most central to their unique challenges and goals.
When selecting solutions, look for ones like the ILINX platform that have incorporated AI to an increasing degree over the technology’s lifetime. This background grounds the ILINX platform in secure, trained, and tested AI with a proven track record of success in process improvement.
Artificial intelligence expresses a fundamental reimagining of how people apply automation to operations. By starting small and thinking big, businesses can unlock AI’s transformative potential to achieve greater-than-anticipated benefits.
Read up on ILINX AI to learn how AI fits into the ILINX platform to streamline processes across industries. Ready to explore what it can do for your organization? Fill out the form below to schedule a conversation with an AI expert.