Artificial Intelligence

Last updated December 17, 2025

Quick answer

Artificial Intelligence is the use of digital and data-driven capabilities to improve how organizations discover opportunities, design solutions, and scale innovation outcomes.

Artificial Intelligence is the use of digital and data-driven capabilities to improve how organizations discover opportunities, design solutions, and scale innovation outcomes. In practice, it helps organizations prioritize initiatives, allocate resources, and manage risk across an innovation portfolio.

Contributor

Clara @cla_reinholt

Focuses on innovation communication, facilitation, and turning frameworks into team habits.

Clara writes about the human systems behind innovation: facilitation quality, communication clarity, and the routines that help teams move from ideas to decisions. She follows practical team-method sources such as the Atlassian Team Playbook, alongside innovation coverage from McKinsey and Harvard Business Review.

Her contributions often combine editorial storytelling with practical templates that leaders can reuse for team rituals, retrospectives, and portfolio reviews, informed by research and practices from McKinsey on Innovation, Harvard Business Review, and the Atlassian Team Playbook.

Clara tends to ask one recurring question in her drafts: Will this help someone lead a better conversation tomorrow? If the answer is yes, the piece is ready.

Artificial Intelligence

Quick answer

Clara @cla_reinholt

More in 🎯 Strategy & Portfolio

Related definitions

Absorptive Capacity

Accelerated Innovation

Related guides

Building a Disruption Radar for Your Category

How AI Is Quietly Flattening Innovation