Kirsten Poon Reveals 4 AI Tips Helping Teams Work Smarter in Edmonton

Across many workplaces in Edmonton, artificial intelligence is being explored as a way to improve daily tasks and reduce repetitive work. Kirsten Poon, an AI analyst based in the city, works directly with teams to apply AI tools that fit into real workflows. Her focus is on helping businesses use AI without adding extra layers of complexity.

Through her experience working with engineers, data experts, and team leaders, Kirsten Poon has identified a few practical ways AI can support how teams work together. These tips are meant to help companies that are just starting with AI or are looking to apply it in more focused areas of their day-to-day operations.

1. Start Small with Tasks You Already Do

One of the first things she recommends is starting with small, familiar tasks. Many teams feel pressure to use AI in a big way right from the beginning, but it’s often more helpful to begin where the need is already clear. For example, if your team spends a lot of time sorting through emails or updating reports, those are good places to explore automation.

There are simple tools available that can handle sorting, tagging, or suggesting replies. AI can also help create summaries or organize content for faster reading. These smaller improvements can reduce time spent on routine work and let teams focus on what needs human input.

2. Use Data You Already Have

Kirsten Poon emphasizes that companies don’t need to gather large new sets of data to benefit from AI. Many businesses already have access to useful information; they just aren’t using it fully. This might include customer feedback, scheduling records, or performance logs.

AI tools can review existing data to find patterns that help improve planning or decision-making. For example, reviewing support tickets could reveal common issues, which a team can then solve more quickly in the future. By using what’s already there, teams can get value without major setup or change.

3. Choose Tools That Fit Your Work, Not the Other Way Around

There are a lot of AI products on the market, and it can be tempting to try something just because it’s new. But she advises businesses to first understand what they need help with, then look for a tool that matches that need.

For example, if a team struggles with scheduling or managing calendars, they might benefit from AI that helps coordinate meetings or predict busy periods. If the main goal is to improve customer service, a tool that supports faster replies or answers common questions could be useful. When tools fit the actual problem, teams are more likely to use them regularly.

4. Keep People Involved in the Process

AI should help people, not replace their role. One of the biggest concerns among staff is whether AI will take away control or create confusion. Kirsten Poon suggests involving team members early when choosing or testing new tools.

Letting people give feedback, ask questions, and try the tool in their regular tasks helps build trust. It also improves how well the tool fits into the actual process. When teams feel involved, they are more likely to adopt the new system and use it effectively.

These four tips focus on making AI part of everyday work without changing everything at once. By starting small, using familiar data, choosing helpful tools, and involving people in the process, companies can see real progress without added pressure.

Kirsten Poon believes that AI doesn’t have to be complex to be helpful. In Edmonton, she works with companies of all sizes, helping them find the right approach based on what they already do well. Whether it's scheduling, customer support, reporting, or task tracking, the goal is to make small changes that lead to smoother work.

For businesses looking to explore these ideas further, she offers services that begin with listening to team needs and testing small tools that can grow over time. If you're interested in learning more, you can visit her website or get in touch to see how AI can fit your team’s daily work.

By focusing on clear problems and simple steps, these AI tips offer a way to work smarter, without making things harder.