Closing the gap between boardroom priorities and team delivery
Executives face increasing pressure to show that strategy produces measurable results. Boards want clearer traces from funding to outcomes, finance seeks predictable returns, and delivery leaders must accelerate while capacity is constrained. When strategy remains on slides, budgets are siloed, and status reports lag, organizations cannot reprioritize in time to protect value. How should governance and operating practices change so portfolios drive outcomes rather than just report them?
Many organizations are responding by redesigning portfolio governance, clarifying decision rights, and linking planning cycles to delivery metrics. Practical shifts include tightening intake so initiatives enter with testable hypotheses and measurable outcomes, aligning capacity planning to team work, and establishing value-realization roles that track benefits instead of activity. These changes emphasize people and process: clearer roles, shorter governance cadence between executives and delivery teams, and rules that force trade-offs rather than produce paperwork.
Join industry peers to explore which governance adjustments and operating changes actually speed decisions and improve value delivery. Bring examples of waste in your portfolio process, the governance changes you have tried, and the single operating adjustment you believe would move the needle in the next 12 months. This session is for leaders seeking pragmatic, decision-ready ways to bridge strategy and execution without adding unnecessary complexity.
Speakers
Brett Kleppinger
Craig Gorveat
Discussion Topics
Strengthening investment intake so every initiative enters the portfolio with a clear business case and measurable outcomes.
Connecting capacity planning and funding decisions to team-level work so resources shift quickly to higher-value outcomes.
Shifting PMO responsibilities from reporting to outcome stewardship by creating value-realization roles, clearer decision rights, and continuous feedback loops.
About Atlassian
PwC (PricewaterhouseCoopers) is one of the world's "Big Four" professional services networks, operating across 151 countries with a global workforce of over 364,000 professionals. Headquartered in London, the firm was established in 1998 through the merger of two historic accounting giants, Price Waterhouse and Coopers & Lybrand, which date back to the mid-19th century. Today, PwC serves the vast majority of the Global Fortune 500 by providing comprehensive services across three primary pillars: statutory financial assurance and auditing, strategic business and technology advisory, and international tax and legal compliance. Guided by its global strategy, "The New Equation," the network focuses on helping organizations build public trust and execute long-term digital and structural transformation.
Atlassian Corporation (NASDAQ: TEAM) is a leading provider of team collaboration and productivity software, dedicated to unleashing the potential of every team. Our agile and DevOps solutions, along with IT service management and work management software, empower teams to organize, discuss, and complete shared work effectively. Trusted by the majority of the Fortune 500 and over 300,000 companies worldwide—including notable names like NASA, Audi, Kiva, Deutsche Bank, and Dropbox—our products, like Jira, Confluence, and Jira Service Management, help teams work better together and deliver quality results on time. Learn more at https://www.atlassian.com/.
AWS (Amazon Web Services) is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centres globally. Launched by Amazon in 2006, AWS pioneered the modern cloud computing industry by pioneering the "pay-as-you-go" infrastructure model, effectively allowing businesses to rent computing power, storage, and databases instead of maintaining physical servers. Today, it operates as a massive profit engine for Amazon, powering millions of active customers—including fast-growing startups, massive enterprises, and leading government agencies—to lower costs, become more agile, and innovate faster. Under its current strategic focus, AWS is heavily driving the enterprise adoption of generative AI and machine learning through its integrated data platforms and foundational cloud infrastructure.
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