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During its Team ’ 24 conference in Las Vegas , Atlassian today launched Rovo , its newfangled AI help . Rovo can take data point from first- and third - political party putz and make it well accessible through a new AI - powered search peter and other integrations into Atlassian ’s product . The most interesting part , though , may be the new Rovo Agents , which can be used to automate workflows in tools like Jira and Confluence . One nifty view of these agents : Anyone can build them using a innate language port . No programming required .
“ We like to think of Rovo as a large knowledge model for organizations . It ’s a knowledge discovery product for every noesis actor , ” Sherif Mansour , Atlassian ’s principal of product for Atlassian Intelligence , secern TechCrunch . “ When you look at what a cognition doer has to do , they sort of go through this process of : I need to come up a piece of work . I need to acquire and understand it . And then I take an military action . Most people that have some sort of desk task go through that loop . I think what ’s exciting about Rovo is that we ’re in conclusion at the genesis of generative AI landing that that helps speed up what we can do in that area for teams . ”
The basis for Rovo is Atlassian ’s “ cloud teamwork graph , ” the same graph that form the foundation ofAtlassian Intelligence , the company ’s twelvemonth - old travail of bringing an AI teammate to its products . That graphical record brings together information from Atlassian ’s own products and a issue of third - party SaaS tools . And in a agency , it ’s the proliferation of SaaS tool that necessitates software like Rovo , because every tool run to have its own data silo , take it hard for employee to find the information they ask .
Rovo , Mansour said , revolve around three pillars of teamwork : helping teams find and link with their work , helping those teams learn and then helping them take action .
In a way , enterprise lookup is the low - hang fruit here , since Atlassian is already aggregating all of this data . But it ’s also a tool that should try immediately useful for its drug user and keep them from having to perpetually swap contexts to regain entropy . Some of the third - party tools that are support out of the boxful include Google Drive , Microsoft SharePoint , Microsoft Teams , GitHub , Slack and Figma .
endeavour , which often have lots of custom tools , can also build their own connectors . Atlassian itself , for example , built a connective that brings in its internal developer support . Simply do that documentation available in Rovo , Mansour order , saved developer an hour or two every week — a eminent time savings than what those same developer report from using an AI codification - generation puppet .
As Mansour stressed , the heavy expert challenge — by from ramp up the AI base to mogul Rovo — is building all of these connector and ensuring that they respect the access permit put by a fellowship ’s IT and security measures teams . “ When you search , you get a dissimilar hardening of results to my search . We ensure that it ’s tailored to you and respects your permissions — and only [ shows ] what you have access to . ”
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It would n’t be 2024 if Rovo did n’t also come as a chat overhaul . Since it also has approach to all of this data point , it ’s a relatively light task to use recovery - augment generation ( RAG ) to feed a orotund words model with it and have the model allow customized solvent .
Even when using RAG , big language models are still susceptible to hallucination ( though RAG greatly reduces the chance of the example go off script ) . To ensure that users can swear the results , Rovo always cites its author , and most of the time ( with slideshows and Figma designs , for object lesson ) , there is even an interactive prevue .
One interesting characteristic Atlassian also built into Rovo is its ability to find and explain ship’s company jargon . There is even a Chrome extension for this that will mechanically emphasise and explicate a sure ship’s company - specific term as you read a Google Doc , for representative . This feature is powered by Rovo ’s semantic search engine .
Virtual teammates
It ’s one matter to regain selective information . It ’s another to take action on it . That ’s where Rovo Agents come in in . In a means , this is an extension of what the company did with Atlassian Intelligence . Indeed , the fellowship describes Rovo Agents as “ practical mate , ” too .
“ Rovo Agents will transmute teamwork with their power to synthesize large volume of enterprisingness data , break down complex tasks , learn as they take action , and partner with their human mate to make critical and complex decisions , ” Mansour writes in today ’s proclamation . “ broker are n’t just some soup - up rendering of chatbots . They bring specialized noesis and accomplishment to a all-encompassing mixture of workflows and processes . ”
That means they can generate , brush up and edit contentedness for selling manipulation , product specs or Jira issue . Users can also build agents that suffice specific doubt or recommend honorable practice . But more importantly , they can automatise tasks ground on when a Jira issue march on , for instance , or facilitate users clean up their Jira backlogs or organize Confluence pages — all with world in the closed circuit .
“ We have a strong belief that the future of teamwork is teammates working alongside practical teammates — agents , ” Mansour say . “ There ’ll be many of them and you ’ll be interacting with them in your day - to - mean solar day workflows . ”
