Atlassian Corporation has launched its Forward Deployed Engineering program to scale enterprise AI transformation for its customers. The company is a leading provider of AI collaboration and productivity software for teams. Under the program, senior applied AI engineers work directly inside customer environments. There, they deploy production-ready AI solutions. Specifically, they enrich the organizational context that powers the Teamwork Graph. They also build custom Rovo agents and automations. In addition, they streamline workflows across technical and non-technical teams.
Closing the Gap Between AI Adoption and Business Impact
The Forward Deployed Engineering program targets a critical gap between AI adoption and business impact. According to Atlassian’s latest report, Leading with Context: Lessons from Atlassian’s AI Journey, 85% of knowledge workers use AI. However, only 6% of executives can point to clear, organization-wide ROI. Atlassian’s Forward Deployed Engineers aim to close this gap. They operate as deeply technical and highly specialized AI engineers. Moreover, they turn complex operational needs into working AI systems.
“The value in AI has shifted from access to models, to the ability for AI to understand your unique business context,” said Avani Prabhakar, Chief People and AI Enablement Officer at Atlassian. “By embedding Forward Deployed Engineers directly with customers, we’re putting deep engineering expertise and a builder’s mindset at the forefront of our customers’ most complex business problems – and we’re seeing 50% higher AI adoption in engaged accounts as a result.”
Acceleration = Context x Intelligence
AI is only as powerful as the context it understands. Real competitive advantage comes from linking AI to an organization’s full picture of knowledge, work, communications, code, and assets. Atlassian’s Forward Deployed Engineers are uniquely equipped to bridge that gap. In Atlassian testing, grounding AI agents in the Teamwork Graph produced answers that were 44% higher quality. Those agents also used 48% fewer tokens.
By pairing organizational context with connected workflows, the engineers build durable solutions. These solutions save time and money for customers. Furthermore, the engineers work directly in Atlassian’s codebase. As a result, they can improve the platform in ways that scale across all customers. Importantly, every engagement drives a product flywheel. Code contributions, product fixes, reusable agents, and connectors all flow back into the platform. Consequently, the Teamwork Graph grows stronger.
Customers Are Already Seeing Value
Expedia: Expedia uses Atlassian Forward Deployed Engineers to scale AI-powered content operations across Confluence. The team archived 600,000 pages and saved approximately 3,200 hours annually. In addition, the engagement improved search quality and click-through. Teams now find trustworthy information faster. Meanwhile, engineering teams run 10,000+ agent invocations each month across 50 live projects.
Reddit: Reddit is partnering closely with Atlassian Forward Deployed Engineers to accelerate its enterprise AI transformation. It is also exploring AI-enabled ways of connecting knowledge, improving how teams work, and streamlining enterprise operations. Reddit leverages Atlassian’s AI capabilities, including Atlassian Rovo and Teamwork Graph. As a result, its workforce works more effectively through unified enterprise apps. The company also streamlines the way it manages IT operations. Together, Reddit and Atlassian are building solutions that help Reddit’s teams focus on serving its global communities.
“Atlassian helped us turn an ambitious idea into real business impact,” said Himanshu Singh, Engineering Manager, Expedia. “By working side-by-side with their Forward Deployed Engineers, our teams were able to simplify critical workflows, move faster, and build lasting confidence in how AI can improve the way we work.”
A Mutually Beneficial Partnership Model
The Forward Deployed Engineering program follows a collaborative model. Customers contribute their own engineers alongside Atlassian’s team. Therefore, learning accelerates on both sides. Atlassian discovers high-impact use cases that it can generalize across its customer base. Meanwhile, customers’ engineers gain experience building with the Teamwork Graph and AI capabilities. Ultimately, customers leave with deployed use cases. They also leave with internal teams equipped to keep building on Atlassian’s platform independently.
Finally, Atlassian is releasing The Atlassian Forward Deployed Engineering Playbook today. This enterprise-level resource details lessons learned directly from the Forward Deployed Engineering program. It also offers practical advice for organizations interested in embedding Forward Deployed Engineers into their workflows.
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News Source: Businesswire.com
