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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 Our research shows that 79% of people want better data access for AI, and for good reason: if your AI is trained on outdated, incomplete, or siloed knowledge, your outputs will be off-target.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!

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Comments

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_a6ri64

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_Elevatic

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_Elevatic and Tip 2.

María Martínez Sánchez

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

Anwesha Pan

Love these are great tips!

For me, I resonate to Tip 2# 💡Knowledge Quality for my daily use.

Brita Moorus

I really like Tip 2 🌟 Making sure knowledge is up to date and easy to find makes such a big difference for both people and AI.

That's something I try to focus on with my own team too. I notice how much time we lose when info is outdated or hidden away. AI is only as smart as the content we give it, so keeping knowledge fresh feels like the best place to start.

Love these tips!

Garima Yadav_67wluj

I have been reading a lot about AIs these days, but I loved like Tip 2 🌟 Knowledge Quality. I also liked tip 1 and 3 for cross team collaborations.

Vitaliy Leskiv_pxpec3

While all the tips are good, for me Tip 2: Build Trust Through Knowledge Quality is at the top. Without data quality we cannot maximize the potential of the AI and how it can be leveraged to even support tips 1 and 3.

Preetha Peter

What a timely and powerful webinar — Work Smarter, Not Harder is exactly what many of us need right now.

Of the three tips, I found Aligning Individual AI Use with Team Goals the most powerful — it really captures the difference between just working faster and actually driving meaningful impact. I especially liked the practical advice about connecting AI outputs to team objectives and using AI to surface organizational context. That’s exactly the kind of shift that turns AI into a catalyst for progress rather than just another tool.

Huge Thanks to Atlassian Teamwork Lab for breaking it down so clearly.

Amanda Barber

I'm most interested in tip 3. As someone who works across teams, I'd like to find ways to bring together all the information I need into something more consumable. I'd also love to use the tips from #1 to drive our goal setting and progress monitoring!

Ronald de Wit

Great webinar! I tend to always go for Tip 1: Align Individual AI Use with Team Goals first. In my team/chapter at least myself and another colleague are very interested in AI use so try out stuff and when it works we publish it to the rest of the group.

James O_Connor_o89ye8

Great webinar and great content, thank you! I'm actually building out an AI adoption roadmap for my team at the moment so it's super relevant! All three tips really connect with me, but I guess the one that stands out the most is Tip #3 as it mentions also sharing failures. I think we sometimes get caught up in only sharing successes and miss the fact that you can often learn so much more from failures. Breaking down silos and not only focusing on individual impact are also huge for me.

I love it - really interested to see more of this kind of content.

Huwen Arnone [Deiser/Devoteam]

From this webinar, I take a couple of learnings that I was already having in consideration:

AI is another tool, but enhanced. It's a work assistant. It helps to automate the routine and refine different activities to go faster.
Experimentation and training are basic, then based on the outcomes, scale it.
Expand AI habits with the team to bring far more ROI.

It was interesting learning from Atlassians how they use it, and how they're working on it.

Cameron Eldridge

Leveraging Rovo agents is going to drastically improve efficiencies. Love the Atlassian AI efforts!

Thiago P _Atlassian Support_

Tip #2 about Knowledge Quality resonates strongly with me!

Tatiana Torset

For me the best way to learn a tool is first seeing someone using it and then trying myself, and AI is not different from other tools so examples in this webinar are very helpful.

Thomas Gavin

Tip 2 as many have already mentioned!

HIROTA Takayuki[Ricksoft]

Thank you for the webinar. I was interested in Tip1.

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