Are you using AI to work smarter, not harder? Tell us your favorite AI tip and earn a badge!

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In our recent Team Playbook x Teamwork Lab webinar - Work Smarter, Not Harder: Avoid AI traps and get ahead at work - we shared our top three AI tips to ensure you’re making real AI impact.

Missed the webinar? No problem! Check out the recording here.

Here’s a quick recap of the top three tips!

Tip 1: Align Individual AI Use with Team Goals It’s tempting to think that using AI to speed up your own work is always a win. The catch? There’s no point in running fast, if it’s in the wrong direction. When people use AI in isolation without connecting it to team objectives, they risk duplicating effort, missing the bigger picture, and even stalling their own career growth. Siloed AI use can mean you’re solving problems that don’t matter, or worse, creating new ones for your teammates. The data is clear. Teams with clear, shared AI policies are 56% more effective, 19% more creative, 18% better at decision-making, and save 29 minutes more each day.
Here’s some practical ways you can align your own work with your team’s goals: Connect AI outputs to team objectives: Every time you plug work into AI, ask “How does this help my team’s goals?”. Whether you’re drafting an idea or creating a plan, make sure your work ladders up to what matters most for your team. Use AI to get organizational context faster: Ask AI to summarize company research, recent team wins, or customer feedback. The more context you have, the better your work will align with what your team (and company) actually needs. Understand your organization's ‘System of Work’: Every team has its own way of working. Use AI to help you map out workflows, clarify roles, or document best practices. When you know how your team operates, you can use AI to fill gaps, not create new ones.
	Now go try it! Explore where you can use AI to support your next project with the Define AI’s Project Role play.

Tip 2: Build Trust Through Knowledge Quality In the age of AI, information is everywhere - but not all of it is reliable. Our research shows that 79% of people want better data access for AI, and for good reason: if your AI is trained on outdated, incomplete, or siloed knowledge, your outputs will be off-target. Worse, you risk eroding trust with your team and missing out on opportunities to lead.
Reinforce your reputation as a knowledge quality champion: Spot and surface hidden knowledge: If you see important info stuck in a private chat or a meeting that wasn’t documented, take the initiative to make it accessible to your team. Flag outdated content: When AI (or you!) stumbles on old or inaccurate information, don’t ignore it. Flag it to the owner, or better yet, help update it with the actual source of truth. Promote open sharing: Encourage your team to document decisions, share learnings, and keep key pages up to date. The more you share, the smarter your AI becomes.
	Now go try it! Create an agent that pulls from the right knowledge sources with the Your AI Teammate play.

Tip 3: Lead Cross-Team AI Collaboration Moving beyond individual productivity means using AI to help teams work together more effectively, not just to speed up personal tasks. When teams use AI to coordinate, share knowledge, and build communities of practice, they break down silos and get more done together. In fact, our research found that companies who focus on this kind of AI-enabled collaboration are 1.8x more likely to see a real boost in organization-wide efficiency.
Create your own leadership opportunities and drive more cross-team impact by: Becoming an AI collaboration pioneer: Lead the way by spotting opportunities to overhaul team workflows with AI and running retros to identifying where AI could add value. Openly share your experiment successes (and failures) to inspire your team, and build a culture of continuous learning. Measuring and sharing team-level impact: Focus on tracking and communicating the real benefits of AI at the team level: like time saved, improved coordination, or faster project delivery. Regularly share these stories and data to celebrate collective wins and encourage broader adoption across teams.
	Now go try it! Help your team build their confidence in AI with the AI Innovation Day play.

Which one of these three top tips is your favorite? Have you tried any of our recommended plays?

Share your thoughts below and get the Playbook Live: Get ahead with AI kudos badge!

[Anahit Sukiasyan]

I love these tips! 🌟 For me, Tip 2 about knowledge quality stands out the most. AI can be super powerful, but only if the info it works with is accurate and easy to find. One thing I often do is use AI to turn messy meeting notes into clear action points for the team, it saves time and makes sure nothing slips through the cracks.

Curious to hear what everyone else’s go-to AI tip is!

[Stephen_Lugton]

One tip I would add is that AI makes mistakes; an example of this is I asked ChatGPT to help me put together a business proposal for changing the Jira project key for a large business project would be helpful (One of our suppliers had set up their own project with the same project key, so in collaborative meetings there was lots of confusion about what was actually being discussed), the result from ChatGPT was a big fat no don't do it, but I knew that one of the conclusions from ChatGPT was just wrong and correcting that changed the entire business proposal.

[Mariia_Domska_SaaSJet]

Sometimes I worry about keeping up with the rapid changes that AI brings to our world. My team is exploring how to apply AI in our daily work, and I’m lucky to be part of a project where we built an AI-powered app that helps to create widgets, gadgets, and custom Jira apps without coding. And I'm so excited!

[Debbie Lindsey]

I want to try this tip:  connect AI outputs to team objectives.  I have observed that the teams get lost in the weeds (the details) and gets lost in the forest (the features) and loses focus on their path to the destination (the goal).  This will help connect the dots for the teams so they can envision their success.

[Haunani Nakabara]

Agree that Tip 2: Build Trust Through Knowledge Quality is my favorite.  I've definitely experienced instances when AI has provided incorrect and/or outdated information.

[Tomislav Tobijas]

Well, all of these are great tips 😄

Personally, I tend to explore new features (like AI) first at an individual level to see how they can benefit my work. That’s why Tip 1 really resonates with me - using AI to align personal contributions with company goals feels like the right bridge between individual productivity and team impact.

Also, we just had the Rovo-oriented ACE session, which was another great opportunity to share ideas and practical examples with the community 🙂

[Elena_Communardo Products]

Love these tips! I’ve found Tip 2 (building trust through knowledge quality) especially powerful. AI is only as good as the info it’s fed. Ensuring our team keeps knowledge up to date has made a significant difference in output quality. I'm curious: has anyone here tried combining Tip 1 and Tip 3 to align team goals and improve cross-team collaboration with AI? That seems like the real multiplier effect.

[Dave Mathijs]

I totally agree with @Elena_Communardo Products and Tip 2.

[María Martínez Sánchez]

The Tip 3: Lead Cross-Team AI Collaboration, seems very important to me