You’re working within a cohesive, Atlassian Cloud-powered system of work, and you feel it’s time to introduce agentic AI. You’re looking to unlock greater efficiency across your teams, and automate tasks that previously required heavy-duty manual processing.
It’s time to unleash Rovo, Atlassian’s AI solution.
But simply deploying out-of-the-box Rovo Agents, or creating custom ones in Rovo Studio or Forge, doesn’t necessarily lead to instant productivity and speed.
To truly yield long-term results and success, you need to encourage widespread adoption across your teams. And that’s what we’ll guide you through in today’s article.
ℹ️ What are the top 5 ways to accelerate AI Rovo adoption?
- Educate and engage your team
- Tackle their fears and concerns head on
- Get hands on with your AI tooling
- Appoint internal agentic AI champions
- Stay open to feedback (and make it easy for people to tell you what they think!)
1. Educate and engage your team around AI and Rovo Agents
We all think we know what AI is, and what AI Agents do. Almost all of your teams will be using it in some shape or form, whether for personal use (Copilot, give me three recipes to use up leftover beans) or professionally (Rovo, summarise my meeting and actions please).
But we often find there’s a real gap in knowledge between how we view or use (in a light-touch way) AI, and how it can actively help teams on the ground with their daily tasks.
Understand your teams' pain points
Before you introduce agentic AI into your teams’ workflows and process, start by defining clear pain points. Is it a high volume of requests in a certain business area? Is is having to manually comb through lines of error data? Is it decoding swathes of work items in Jira, and trying to understand which best align with overarching goals and should be prioritised?
Understand the tasks that drain your teams of energy, creativity and efficiency. These are the areas you want to automate with Atlassian AI Rovo Agents.
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Explain how adopting AI Rovo Agents will tackle those pain points
Once you’ve identified the work where Atlassian agentic AI could improve productivity and team satisfaction, you can draw up clearly-defined use cases.
This is where the education and engagement piece comes in. Explain how adopting an AI Rovo Agent can deliver value – that’s through automating previously manual work, speeding up a process, or helping a team exceed their SLAs more efficiently.
💡 Tip!
If you have case studies from other business areas, or even from other organisations all together (Atlassian will have some, or you could browse our own library of custom Rovo and AI Agents to understand how they’re delivering value to clients), make sure to share these.
Seeing real world examples of agentic AI can help enhance engagement within your own teams.
2. Tackle fears and concerns
Pushback from teams around this theme is common – and entirely understandable. There’s no argument that advances in AI have led to reduced headcount or role changes in some organisations.
But that’s only the part of the story. For many teams, enabling AI Agents and automated workflows can actively enhance role fulfilment, as it enables human agents to move away from repetitive, lower value tasks, and focus instead on more strategic, priority work.
Success here lies in how you frame it.
Acknowledge the fears some of your team members may have, but gently educate on the opportunities that AI can bring – and the greater job satisfaction that they may derive from higher value work as a result.
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3. Get hands on with your agentic AI
We always recommend that teams get hands on with your AI tooling.
Show them your Atlassian AI Rovo Agents in action, and encourage users to test them (perhaps in a sandbox environment). Ask them for ideas around how to improve the Agents, or for new iterations.
It also pays to invest in practical training. This doesn’t have to be solely about your new Agents. In fact, it would be prudent to use the opportunity to run refresher training on your tooling, be that Jira, JSM or Confluence.
Over time, it’s easy for processes and standardisation to slip. It’s also possible that you have mixed abilities and confidence levels in your team, as new people have come and gone. So, now’s a good opportunity to roll out training. It will enhance AI Agent adoption, and upskill your team in their wider Atlassian tooling and best practice.
💡 Tip!
‘Garbage in, garbage out…’
Often AI doesn’t work as well as expected in the first instance, because organisations don’t have their house in order, or their data is a mess.
We’d approach this by conducting health checks to audit existing data and configuration. We always work with teams to improve their knowledge management and data structures so that the AI tools they use can work effectively.
Book your Atlassian tooling health check today!
Crucially, don’t put AI on a pedestal beyond your teams’ reach.
Teams that see long-term success with AI will be the ones where Agents and automations are embedded deeply within working patterns and processes – not added on from afar.
4. Appoint internal AI champions
Appointing an internal AI/Rovo champion, who can be a positive spokesperson for the technology in your organisation, is a great way to encourage peer advocacy and support.
Encourage your champions to facilitate workshops and calls with wider team members, and be a point person for feedback or new ideas, which they can then filter up.
Unlock the full potential of AI
Discover how AI is reshaping service management. This guide explores real-world use cases, practical applications within JSM, and how tools like Rovo can drive efficiency and improve service delivery.
5. Stay open to feedback (and make it easy!)
Realising long-term value – from agentic AI, like Rovo Agents, is an iterative process.
Even after successful team-wide adoption, you need to keep the door open for feedback from users. And make it easy – can they submit feedback or issues via your internal service desk?
Consider scheduling a regular Atlassian Rovo Agent review, so you can continue to ensure each one is delivering value for its use case. Make space for refinements to ensure each Agent is still meeting your teams’ needs.
It’s also important to regularly review your AI guardrails, to make sure you’re agentic AI is still meeting internal compliance requirements, alongside wider governance frameworks.
Do you feel better prepared to encourage Atlassian Rovo AI adoption?
If the answer is ‘yes’, then we’re delighted, and glad this article has been useful.
If the answer is ‘no’, you may benefit from turning to a dedicated AI Consultancy, who can help guide you through a period of change and adoption.
Here at AC, we’re a safe pair of hands for every stage of your agentic AI journey. Whether you want to create custom AI Agents but simply don’t know where to start, or you’re struggling to overcome a resistance to change across your teams, talk to us.
We’re Atlassian Platinum Partner status, with a roster of AI solutions, each designed to support you. Talk to us today!
