Team

Overview

What team readiness asks

• Team readiness covers the people who will work with the AI day to day: their existing skills, their willingness to change practice, and the local management capacity to support that change. A team told for two years that AI will replace them is not ready, even if every other dimension is in order. A team that has experimented with consumer AI tools on its own initiative is often readier than one formally trained.
• Closing the team-readiness gap is training, coaching, hands-on practice on real workflows, and the deliberate use of pattern literacy as the foundation capability. A team that can recognise which of the four patterns fits a piece of work can then be trained on the rest in support. A team without pattern literacy is trained on tools that will not generalise, and the training does not survive the next deployment.
• Team readiness is the dimension Cognitive Partnership depends on most heavily. Partnership only operates if the practitioner can externalise their thinking and absorb the AI's contributions, and teams whose posture or skill prevent that cannot run the pattern regardless of how much capability the technology offers. The gap shows up most sharply at the moments when the practitioner would have to think out loud with the AI in the room.