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Practical AI Strategies That Drive Productivity and Growth

Written by Lucy Mitchell | December 18, 2025

When people hear the word “AI,” they tend to think of something futuristic — like robots or complex data science projects. But in reality, AI is already part of our everyday work. It’s not something you have to wait for. It’s something that’s happening right now, inside the tools we already use every day.

As someone who spends my day helping customers manage Microsoft licensing and operations, I’ve seen firsthand how small changes powered by AI can create a big impact. The key is understanding how to use what you already have — and making sure it’s secure, efficient, and intentional.

That’s what having an AI strategy is really about.

AI Is Already in the Tools You Use

If you use Microsoft 365, you’re already using AI — whether you realize it or not.

Features like intelligent search in Outlook, data insights in Excel, and Teams meeting recaps are all powered by AI models. The difference now is that we’re starting to see it — through Copilot experiences that make the power of AI visible and accessible.

I work with organizations every day that are surprised to learn how much AI they already own. Once they understand that, they start thinking differently about what “AI adoption” means. It’s not a massive technology project. It’s a mindset shift.

Small Wins That Add Up

The best way to start using AI is by focusing on small, repeatable wins.

Here are a few examples I’ve seen in action:

  • Document Creation: Employees use Copilot in Word to generate the first draft of proposals or reports — saving hours on formatting and structure.
  • Email Efficiency: Copilot in Outlook helps summarize long threads and suggest responses, reducing inbox overload.
  • Data Insights: Teams use Excel’s AI features to analyze data trends automatically, spotting issues that would have taken hours to uncover manually.

None of these examples are flashy — but together, they add up to major productivity gains.

AI Strategy = Clarity + Guardrails

As organizations start using more AI features, clarity becomes essential.

You need to know:

  • Who can use AI tools and for what purpose.
  • What data is being accessed and where it’s stored.
  • How to measure whether AI is actually improving productivity.

That’s where an AI strategy matters. It gives employees confidence to use the tools — and IT confidence to know they’re doing it safely. It’s about finding the balance between empowerment and control.

Empowering People, Not Replacing Them

I’ve had people ask me, “Is AI going to replace my job?” My answer is always the same: No — it’s going to make your job easier.

AI doesn’t remove the need for human expertise. It helps us get to the meaningful parts of our work faster. For me, that means less time cross-referencing SKUs and more time helping customers understand their options. For others, it might mean fewer hours spent writing summaries or searching for data — and more time making decisions.

That’s the real promise of AI: freeing people to focus on what truly matters.

The Bottom Line

You don’t need to be a data scientist to start using AI effectively. You just need awareness, access, and a plan.

Start with the tools you already have. Identify one or two processes you can make easier. Build from there.

Because when everyday users — not just executives — understand how to apply AI in their own workflows, that’s when your organization really starts to change.

AI isn’t a future goal anymore. It’s the next version of how we work.

By Lucy Mitchell, Licensing Strategist, Synergy Technical.

 

 

We are not just consultants––we are practitioners. As users of various AI tool within our organization, personal lives, and client environments, we bring first-hand expertise to guide your AI journey. Don't miss out on the opportunity to drive efficiency, productivity, and innovation. Contact us today to unlock the full potential of AI for your organization.