Atlassian, Intuit, and AWS rebuild APIs for AI agents replacing humans

Enterprise giants Atlassian, Intuit, and AWS are fundamentally rethinking API architecture to accommodate AI agents that will soon replace humans as the primary consumers of enterprise software interfaces. This shift represents a critical infrastructure transformation, as current APIs were designed for human interaction rather than the multi-modal, autonomous systems that will drive the next generation of business automation.

What you should know: The transition to agent-first APIs requires companies to rebuild their fundamental software architecture from the ground up.

• “We need to build the kind of APIs that will work well with agents, because agents are the ones that are now going to interact with APIs, not humans,” said Merrin Kurien, principal engineer and AI platform architect at Intuit, a financial technology company.
• Current enterprise APIs were designed for human use, but future APIs will need to be multi-modal, native interfaces optimized for AI agent interaction.
• The companies discussed their strategies during the Women in AI breakfast at VB Transform, highlighting real-world implementations already showing measurable results.

Key results from early implementations: Each company reported significant productivity gains from their current AI agent deployments.

• Intuit’s QuickBooks automated invoice generation and reminder system helps businesses get paid an average of five days faster, with 10% higher likelihood of invoices being paid in full.
• AWS Transform’s AI-assisted migration service enables generalist teams to handle infrastructure migrations that previously required specialized expertise, fundamentally “changing migration as an industry.”
• Atlassian’s internal onboarding agent fielded 7,000 requests in its first month and is now a standard part of the employee onboarding process.

How Atlassian is scaling agent adoption: The project management platform company takes an inside-out approach, using its own products to guide customer implementations.

• Their customer agent, which aggregates data from multiple customer touchpoints, is used by 80 teams across the company and ranks as one of their most popular internal tools.
• The ‘Teamwork Collection’ of rovo agents integrated into Jira, Confluence, and Loom saves at least four hours per person per week by providing pre-meeting context summaries.
• Customers have customized 10,000 different versions of Atlassian’s out-of-the-box agents in just three months, creating valuable feedback data for workflow optimization.

Advanced strategic applications: AI agents are moving beyond simple task automation to complex strategic planning.

• Atlassian built a graph layer on top of its data that provides deeper intelligence on how information connects across organizations.
• Agents are now pre-building strategic roadmaps by analyzing goals, team structures, and projects in progress—work that’s traditionally difficult for humans to manage dynamically.
• “When you think about how people build their software development lifecycles right now, a huge part of that is creating roadmaps and prioritizing strategies,” To explained. “The agents we’re seeing become really popular now with customers are actually pre-building those strategic roadmaps.”

Trust and security considerations: Building reliable AI agents requires robust review processes and transparency mechanisms.

• “With new waves came new vulnerabilities,” Kurien noted, emphasizing the need for stringent lifecycle reviews for each agent implementation phase.
• Customers demand visibility into what agents are doing behind the scenes and want control over their actions.
• Success requires strong data architecture and proper context so AI agents can make the powerful decisions organizations will increasingly depend on.

What they’re saying: Industry leaders emphasize this transformation’s unprecedented scope and speed.

• “I would like to think five years from now, agents will be mainstream,” Kurien predicted. “How prepared will you be? It’s dependent on your investments today.”
• “When we build agentic infrastructures and we incorporate AI into the mission of our businesses, we’re not just taking technology and putting it to work,” said Mai-Lan Tomsen Bukovec, engineering and product leader for storage and compute services at AWS. “We are actually changing the nature of the workplace, the workforce.”
• “I feel like with AI, it’s a tidal wave. It’s moment after moment after moment,” noted Tiffany To, SVP of product for platform and enterprise at Atlassian. “AI is just completely different from all of the other waves.”