CBA is using AI as element of its ‘big room planning’, a quarterly Agile process that brings 16,000 people from all through the monetary establishment with one another to collaborate software program program cargo duties and targets.
.
CBA’s(* ).
. Helen Lau monetary establishment initially offered
The- AI made to have interaction with a enterprise’s Atlassian Intelligence environment – to maintain people within the massive area preparation process in Atlassian Cloud in 2014.December system fundamental supervisor
Engineering knowledgeable Helen Lau’s Atlassian ’25 seminar that the monetary establishment had really laid the buildings for this by transferring its Team and Jira atmospheres from on-premises variations to the darken the previous few years.Confluence units are at present element of the massive area preparation process;
Both, particularly, because it maps and tracks dependences – inputs or funds wanted from numerous different teams – required as element of a job or program of job.Jira A considerable element of the massive area preparation process is to position
, “everything worth a discussion on the table” acknowledged.Lau which can be included to sure teams are managed by the teams themselves.
Issues acknowledged.
“For anything internal, your team has full autonomy to work out what you need to do, but when you depend on someone to lift a finger or you have a lot of demand coming in, you need to have that conversation: Can I deliver this for you? Can you deliver this for me?” Lau area preparation is made use of to acquire these issues and conversations seen, set up what job is prioritised and moneyed over the next quarter, and alternatively, what may be deprioritised.
Big acknowledged the monetary establishment had really up to now undergone
Lau, with 16,000 people from its “two cycles of big room planning” and Australian procedures collaborating.Indian AI is being made use of as an help on this process primarily to sum up intensive merchandise and attain the essence of a dialogue a lot faster.
acknowledged that
Lau reliance tickets had been often fast but indicated complete paperwork in Jira.Confluence AI is made use of to sum up that paperwork.
acknowledged.
“We use that a lot to help us get to the key content and message,” Lau is being made use of much more typically than merely the quarterly preparation process.
“We’re using AI to help us quickly get to the content to have the right conversation as early as we can, rather than reading a document, [sending an] email, [having a] meeting, [sending another] email, [having another] meeting.”
Atlassian Intelligence acknowledged CBA is at present conserving
Lau.“around 2500 hours a month on summarising key delivery documents”’s moreover helping groups on the monetary establishment, which make up in between 10 and 20 people, to
It.“break down epics into user stories”, a formidable
Within Agile, in accordance with “is a body of work that can be broken down into specific tasks called user stories” paperwork.Atlassian acknowledged.
“Each squad saves about 14 hours a month now in terms of breaking down an epic into the user stories,” Lau included that
“That’s across 1100 squads in the group, so that’s a big number there.”
She in being able to make the most of AI on data within the “internal customer satisfaction” machine setting is moreover Atlassian.“the biggest cherry on top for us” she acknowledged.
“We get a lot of [internal] customers coming back to say they love it,””
you use in IT, we don’t acquire a lot When feedback. ‘we love it’ acquire quite a lot of P1, P2 We: [priority incidents] area preparation, as element of the monetary establishment’s ‘Can you fix this?’
“So, customer satisfaction was a big bonus for us.”
Big and DevSecOps settle for, is including to CBA acquiring much more brand-new gadgets and attributes proper into manufacturing, which may revenue its purchasers.Agile acknowledged.
“When I joined the bank three years ago, we were making about 2000-to-3000 changes a month,” Lau”
, we merely ticked over 9000 changes a month in manufacturing, indicating 9000 attributes a month entered into our purchasers’ arms. Now