Signal to Strategy: Atlassian Strategy Collection Demo
AI is accelerating decision-making faster than static, annual plans can handle. In this live demo of Atlassian Strategy Collection, see how adaptive strategy planning helps leaders respond to AI-driven insights in real time—shifting strategy, reallocating funds and resources, and moving beyond obsolete plans to build a continuous, always-on system of work.
In 2026, AI is reshaping the pace and nature of decision-making—continuously feeding leaders new signals, scenarios, and recommendations at a speed traditional planning models were never designed to handle. The volume and velocity of this intelligence is exactly why static, annual plans break down: they can’t absorb, interpret, and act on AI-driven insights fast enough.
Adaptive strategy planning is the response to this new reality—re-architecting how strategy continuously moves along with your business. As a result, organizations can keep up with AI’s tempo: updating priorities as new insights land, rebalancing investments as conditions shift, and tightening the loop between signal, decision, and action. That’s why Atlassian’s System of Work and Strategy Collection are designed to help build an operating system that lets leaders turn constant intelligence into continuous advantage.
In this demo, you will see how Atlassian's System of Work, Strategy Collection, and Rovo helps you:
- Make strategic shifts and execute on a new strategy with adaptability across the portfolio
- Capitalize on market changes by reallocating funds and resources to higher value outcomes
- Navigate volatility by moving away from static plans that grow obsolete
スピーカー
Keith Renison
Principal Technical Product Marketing Manager, Strategy Collection
ソフトウェア業界で 20 年以上の経験を持つ Keith は、技術アーキテクチャと戦略的ストーリーテリングの交差点でキャリアを積んできました。ソリューション アーキテクトとして 10 年間働いた後、11 年前にプロダクト マーケティングの「ダーク サイド」に転身し、実際の顧客のユース ケースと実装の実用性に深く根ざした視点を持ち込みました。
Keith はアトラシアンで、エンタープライズ組織が戦略、実行、データ間の関連性を理解できるよう支援することに注力しています。技術的な複雑さを分かりやすく解説し、チームがより良い意思決定を行い、迅速に行動できるよう支援することに情熱を注いでいます。