Simulation AICEAC AI: Inside Issevians’s Atlassian Printivians of Experience

AIC AI’s scaling is not only related to the presence of the latest tools – it requires clear guidelines, the correct context, and a culture that provides experimentation to cancel the real value lock. In Venturebeat Transfer 2025Annu Bahradouj, President of Atlasia, shared implemented visions on how the company enables its employees to build thousands of dedicated agents who have real daily challenges. To build these factors, Atlassian strengthens a rooted culture in curiosity, enthusiasm and continuous experimentation.

“You hear a lot about Amnesty International’s mandates from top to bottom,” Baharradaj said. “The delegations from top to bottom are great to make a large splash, but in fact, what happens after that, and that agents need to repeat and continuous adaptation. The states from top to bottom can encourage people to start their daily work, but people should use it in their context and repeat over time to achieve maximum value.”

This requires a culture of experimentation-that in which short-to-medium-to-range setbacks are not punished, but they are adopted as stones in future growth and high-impact cases.

Create a safe environment

Rovo Studio from the Atlassian agent construction platform works as a stadium for teams across the institution to build agents.

“Like leaders, it is important for us to create a psychologically safe environment,” he said. “In Atlassian, we have always been very open. Open Company, no nonsense is one of our values. So we focus on creating this openness, creating an environment that employees can experience different things, and if you fail, there is nothing wrong with that. It is okay because you have learned something about how to use artificial intelligence in your context. It is useful to be very spoiled and open around.”

Moreover, you should create a balance between experimenting with handrails of safety and review. This includes safety measures, such as making sure to log in to employees when they try tools, to ensure that agents respect the permissions, understand the roles -based access, and provide answers and procedures based on what a specific user can access.

Supporting cooperation between agents

“When we think about the agents, we think about how humans and agents work together,” he said. “How does team work looks through a team consisting of a group of people and a group of agents – and how does this develop over time? What can we do to support this? As a result, all our teams use ROVO agents and build their ROVO agents.

She added that magic really happens when many people work with multiple agents. Today a lot of agents are one player, but the interaction patterns develop. Chat will not be the default reaction pattern, says bhaadwaj. Instead, there will be multiple interaction patterns that drive multi -player cooperation.

“Basically, what is teamwork?” I was presented to the audience. “It is multiple players’ cooperation – multiple agents and two people working together. “

Make the agent’s experiment available

Atlassian’s Rovo Studio makes the agent building and available to people from all skills sets, including non -symbol options. One of the construction industry clients built a group of agents to reduce the time of the construction of the road map by 75 %, while the giant Harpercolllins has published customers who reduce manual work by 4X through their departments.

By combining Rovo Studio and their developers platform, the technical teams acquire, strong control to allocate their deep work progress – define context, identify accessible sources of knowledge, form reaction patterns and more – and create very specialized factors. At the same time, the non -technical difference also needs customization and repetition, so they built experiments in Rovo Studio to allow users to take advantage of the natural language to provide their allocations.

“This will be the big conquest, because it is basically, when we talk about the transformation of agents, it cannot be restricted to the code of the scenarios that we see today. The entire team should be permeated,” he said. “The developers spend 10 % of the time coding. 90 % remains with the rest of the team, discover customer problems and repair problems in production. We are creating a platform through which you can create agents for each of these functions, so that the entire episode becomes faster.”

Create a bridge from here to the future

Unlike previous transformations to mobile devices or clouds, where a set of technological changes or going to the market occurred, the transformation of artificial intelligence is mainly a change in the way we work. Bhardwaj believes that the most important thing to do is to be open and share how you use Amnesty International to change your daily work. She added, “For example, I share the videos associated with the new tools that I have tried, the things I love, the things I did not like, and the things I thought about, oh, this may be useful if he only had the right context.” “This continuous mental repetition, to see employees and try every day, is very important as we turn into the way we work.”