Artificial intelligence is moving into more parts of everyday business, especially in sectors that rely on complex operations and large amounts of data. Kirsten Poon, an AI analyst based in Edmonton, is helping companies across the city apply AI in practical ways to improve how they work.
Kirsten Poon brings experience in designing, developing, and deploying AI systems across both commercial and industrial environments. Her work focuses on building tools that address specific business needs without overcomplicating workflows. With a background in working with cross-functional teams, she supports companies as they begin using AI to improve decision-making, organize data, and respond to changing demands.
Businesses in Edmonton are starting to look at AI not as a future goal, but as something they can apply now to improve daily operations. Her projects often begin with simple questions such as how to predict inventory needs or track production delays more accurately. From there, she works with data scientists, technical experts, and business leaders to design systems that support those goals.
One focus area in her work is system design. Kirsten Poon helps companies map out what problems they’re trying to solve, what data they already have, and how machine learning models might help. This involves selecting the right approach for the task whether it’s classification, prediction, or pattern recognition and building a model that can be tested and used in real time.
Once a model is tested, the next step is to make sure it fits into the company’s existing tools. Kirsten Poon often works alongside engineering teams to deploy AI systems that connect with software already used by employees. The goal is to support decisions, not replace human work. Whether it’s improving maintenance schedules in a factory or providing quicker answers to customer requests, the focus is on clear and specific use.
Kirsten Poon has also supported Edmonton-based businesses in managing their AI projects beyond deployment. This includes monitoring results, updating models as new data comes in, and making sure the system continues to serve its original purpose. These efforts are especially important in industrial environments, where performance and reliability are key.
Another key part of her work is team collaboration. AI projects often require people from different roles technical, operational, and leadership to work together. Kirsten Poon helps teams build a shared understanding of what the system is designed to do and how it fits into their work. This helps reduce confusion and keeps projects on track.
In the commercial sector, companies are using AI to handle tasks like sales forecasting, trend analysis, and customer support. Her work helps these organizations apply machine learning in ways that are clear, measurable, and directly connected to business goals. By focusing on data that companies already collect, her methods reduce the need for large changes or new infrastructure.
While AI adoption varies from business to business, more companies in Edmonton are taking small but focused steps. By starting with one part of the operation such as inventory planning or scheduling organizations can build experience and gradually expand their use of AI tools.
Kirsten Poon’s approach reflects a shift in how businesses see AI: less as a buzzword, and more as a tool that solves real problems. Her experience across industries allows her to adapt systems to different settings, whether it’s a factory floor or an office environment.
As AI becomes more widely used in local industries, projects led by professionals like Poon show that it’s possible to apply these tools in ways that are clear, measurable, and grounded in daily work. Edmonton businesses are responding to this approach with growing interest, as they look for ways to improve operations using the data and tools they already have.
