AI Implementation Strategies: Transforming Ideas into Practical Results in the Real World
Artificial Intelligence (AI) is turning industries on their heads and fundamentally changing how businesses operate, compete, and grow. However, it's crucial to avoid jumping on the bandwagon for the sake of technology itself. Instead, thoughtful planning, clear business objectives, and a firm commitment to delivering measurable value should drive AI implementation. This is the approach we take at Coherent Solutions, assisting our clients in navigating the journey from curiosity to significant, tangible results.
While AI, particularly Large Language Models (LLMs), offers impressive capabilities, it's not a one-size-fits-all solution. As Lina Šiumetė, General Manager of Coherent Solutions Lithuania, wisely points out, "Modern large language models are powerful tools that can greatly enhance productivity and automate complex processes. But businesses should approach AI implementation strategically, ensuring the technology genuinely solves specific operational challenges rather than complicating them."
This strategic perspective is at the heart of our collaboration with clients. We begin every engagement by identifying the genuine business challenge at hand. AI can only succeed when its application is tied to clear strategic needs—improving processes, decision-making, or customer experiences.
Throughout various sectors, we've implemented AI-driven solutions that tackle real-world business challenges. In the construction tech space, our team built an AI-powered solution that revolutionized a traditionally manual roofing process, improving accuracy and efficiency for contractors nationwide. In the retail sector, we developed an Optical Character Recognition (OCR) solution that AUTOMATED transcription of prescription data in more than 200 stores, significantly reducing human error and accelerating service times.
For another eyewear client, we took their Virtual Try-On (VTO) experience to the next level by incorporating an AI-powered feature that removed real glasses from a customer's face during live video, allowing users to virtually try on frames without removing their current ones—dramatically improving engagement and conversion rates. AI, when implemented strategically, creates operational efficiencies, cost savings, and superior customer experiences without oversimplifying the core business model.
To ensure our solutions deliver lasting value, we abide by several guiding principles. Every AI project begins with clearly defined business objectives, prioritizing data quality, adopting a human-centric approach, upholding responsible and ethical standards, and aligning projects with well-defined goals such as increasing revenue or improving customer satisfaction.
Starting small, piloting, learning, and scaling is also crucial, allowing time to test assumptions, fine-tune performance, and build internal trust before expanding the solution across teams or markets. Continuous monitoring and recalibration ensure AI systems remain in line with evolving goals and maintain long-term effectiveness.
Adopting AI not because it's trendy but because it aligns with strategic goals and delivers tangible results is our philosophy. At Coherent Solutions, we believe in making technology work for your business—not the other way around. By taking a client-focused, responsible, and pragmatic approach, we help organizations harness the full potential of AI, resulting in sustainable growth, improved efficiency, and a competitive edge that endures.
AI, when implemented strategically, can revolutionize specific operational challenges in various sectors, such as improving the accuracy and efficiency of roofing processes in construction tech, automating transcription of prescription data in retail, or enhancing customer engagement and conversion rates in the eyewear industry.
However, AI's success depends on its application being tied to clear strategic needs, like improving processes, decision-making, or customer experiences. We prioritize defining business objectives, emphasizing data quality, adopting a human-centric approach, maintaining ethical standards, and aligning projects with goals like increasing revenue or improving customer satisfaction, all while starting small, learning, and scaling to ensure long-term effectiveness.
