SaaStr AI 2026 Sessions Show Shared AI Playbook Across Atlassian, Anthropic, Scale
Leaders from Atlassian, Anthropic and Scale Venture Partners converged on the same AI approach at SaaStr AI 2026, according to SaaStr.
At SaaStr AI 2026, three sessions featured Sharif Mansour, Head of AI and Product Management Craft at Atlassian overseeing 20+ apps and 450 product managers, Eleanor Dorfman leading commercial and industries sales at Anthropic, and Rory O’Driscoll, a software investor at Scale Venture Partners for 30+ years. The sessions reached nearly identical conclusions on AI implementation according to SaaStr.
Binary Claims Versus Both/And Execution
Every popular AI claim arrives as a binary, such as chat as universal interface versus dedicated experiences, reimagine products from scratch versus bolt AI onto existing stacks, or hire 10x AI builders versus building teams. The sessions showed teams winning by running both sides simultaneously. The shared concrete primitive across talks was skills and the harness, defined as the thin layer of software that turns a raw model into something a business can depend on.
Atlassian Session Details Three Contradictions
Sharif Mansour stated that for every claim about implementing AI, an equal and opposite claim is also true. Atlassian operates across 20+ apps, most years old, with six AI-native and more than 5 million users on AI features. On chat versus dedicated UI, Atlassian shipped Rover chat to power AI across the portfolio while also building dedicated features such as grouping sticky notes in Confluence Whiteboards and pushing notes into Jira backlogs. On reimagine versus bolt-on, Atlassian added an agent step into an existing Jira automation workflow two and a half years ago and observed customers moving to multi-agent chains. The resulting principle requires that every problem solved for humans must also be solvable for agents. On hiring, the session addressed the tension between seeking 10x AI builders and building 10x teams.
Convergence on Workflow Proximity and Existing Stacks
Atlassian observed that chat usage did not fade despite users running external tools such as Gemini and Claude, attributing this to workflow proximity. The sessions collectively emphasized building on the stack companies already have rather than starting from a clean slate, according to SaaStr.
