Enterprise giants Atlassian, Intuit, and AWS are planning for a world where agents call the APIs

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This is awarded age Agent AI The general one thinks about how we built the program. Existing enterprise APIs are built for human use; The APIs of the future will be a model, native interfaces.

“We need to work well with agents, because agents are not now with APIs, but also Merrin Kurien, Main Engineer and AI Platform Architect IntuitThis year’s AI breakfast said during women Turn a vb.

Kurien, AI agents on the present and future of AI agents, Mai-Lan Tomsen Bukovec discussed a dynamic discussion with leaders of Engineering and Products and Processing Services BoringAnd for Tiffany, product SVP for platform and enterprise Satlasian.

“I would like to think about five years, agents will flow the main,” Kurien said. “If most of the challenges we face today, if the last two and a half years is an annual year, it will be eliminated by a better tool. How ready will you be ready? It depends on your investments today.”

How Inviti is taken and AWS supports faster migration

Intuit uses agents and sees “amazing progress”, “amazing progress” by Betsy Peretti, was moderated by the partner for innovation and design Slander.

It should be noted that the financial technology platform has combined automated invoice generations and reminders Quickbooks Suggestion that is popular among small and medium entrepreneurs (SMB).

“We have seen the average payment of enterprises faster than five days and the invoices are 10% more likely to be compensated,” Kurien said.

Successed with AWS too AWS turns intoMigration.

The traditional migration scenario, as described: The customer will go to the owner of the application and for example, transfer Windows application to a Linux-based application that works on AWS. “And guess what will say? ‘Take a number. You are prioritized 42.'”

But now businesses can make the majority of migration AI Help. “Your generalized teams allow themselves to do more, and it reduces the expert.” Tomsen Bukovec said. “This changes migration as an industry.”

As a result, how Ai’s EU will be closely closing with AWS and others. The incredible progress in the EU is “really makes us a really new look, forces a new look, hot” applications.

“When we establish agent infrastructure, when we enter the Mission of our business, we do not accept technology and put the technology,” Tomsen Bukovec. “We change the nature of the workplace, the workforce.”

He added: “We see this happening at this time. This is what we see in the stick.”

Atlassian experiments and how do customers learn

Atlassian is a thoughtful approach AI agentssaid.

For example, the Project Management Platform has launched a plane agent to help new employees to enter all the materials needed to begin their work. In the first month of the beginning, the agent gave 7,000 inquiries. Now, this is the regular part of the plane, it can be said.

Meanwhile, the company’s market team has numerous interface points with customers, which can also be difficult to collect all the necessary context. Atlassian set up a customer agent who pulled all information, and this was one of the most popular agents used by 80 teams within the company. “I’m using a little without talking to customers,” he said.

Atlassian has a powerful responsibility for ‘Dog Food’ – tested to use your products and services – and try to use it to help customers manage customers as it develops with AI. This work can then be turned into the atlassian ships that come out of the box.

“It does not intend to come from engineering; will come from all of your organization,” he said. “So how can you do everyone to create everyone’s creativity to work, work, work flows?”

The company recently applied the ‘teamwork collection’ application – Jira, Matchluence and Loom – ‘Rovo agents’ were managed. It is included in its platform and supports various aspects of the joint process. For example, before a meeting, the agent will bring together “a really nice summary” based on the Conflluence pages and jury tickets.

“That is, when you enter this meeting, now you are all shared context,” he said. “You don’t try to update each other, you can actually take time to the important strategy decisions.”

Atlassian estimates that special use saves at least four hours per week. Especially the customer HarperCollins used it to “great effect”.

Customers use AI agents in various complexities, said: Sometimes only they downloaded work, collect or write notes; Other times they become strategic road pipelines before raw data and structure.

To explain that AtlasSIAN has set up a graph layer on the data that provides deeper intelligence on how information is related. For example, enterprises can analyze their goals along with team structures and projects. “It’s not just a HR Org schedule,” he said.

“When people think that the programs of the Software Development are currently established, a large part of this creates road maps and prioritizes strategies,” he said. “But this can be very dynamic and taking into account all the information, it is difficult for people. The agents we do are really famous, they really pre-make this strategic road maps.”

Noting the importance of creating opinions with customers, in the last three months, Atlasian users have customized 10,000 different versions of the company from 10,000 agents.

“After that, these agents are really a great feedback information that help us understand how they placed in work streams,” he said. “I think that some of those who are really exciting about this wave are such a common process in designing with customers.”

To gain confidence, go-to-go

Trust is the cornerstone of any product and no difference with AI, Kurien stressed. Customers want to control what the agent is behind the scenes and to control the actions. To do this, harsh review processes are required.

“New waves came with new weaknesses,” he said. “We set up a strong process that we have adapted to an agent and determine the life of the lives created by the correct processes of opinions.”

To emphasize that it should be more than raw technology; People must cooperate together, build full solutions and to practice. The industry must invest in strong information architecture and have the context of the correct information so we can make strong decisions we will ask them.

“When it is really exciting, it is a super power to make better decisions, to make better products, re-setting your goals, re-sort your goals, as a company.

He noted that there are many waves of innovation over the years, but this is all this with AI. “I feel together with AI, this tidal wave. After the moment, after the moment, right? EU is completely different from all other waves.”

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