Why Most AI Transformations Fail After Launch
After new AI systems go live, many organizations lose momentum. Without a structured adoption plan, results fade and teams revert to old habits.
Low user engagement
Teams resist new workflows, slowing adoption and reducing ROI.
No change strategy
Lack of structured communication and support undermines AI confidence.
Inconsistent rollout
Implementation success isn’t replicated across departments or teams.
Achieve Sustainable AI Adoption Across Teams
Sprintmore’s Change & Adoption Sprint combines behavior-driven design, team training, and AI confidence-building methods to turn implementation success into measurable transformation.
Change frameworks that work
Deploy a proven 4-phase framework that helps users adopt, adapt, and accelerate AI tools.
Enablement & training support
Equip teams with the knowledge and workflows to use AI tools confidently.
Performance tracking & improvement
Monitor adoption rates and engagement metrics to ensure lasting impact.
How the Change & Adoption Sprint Works
We turn every AI implementation in to success through four steps:
Assess readiness
Understand current adoption levels and cultural barriers.
Co-design change plan
Build communication, training, and rollout plans.
Deliver training & activation
Run workshops, playbooks, and real-world use sessions.
Measure adoption & optimize
Track user engagement and adjust continuously.
What Every Change & Adoption Sprint Delivers
Where The Change & Adoption Fits in Your AI Journey
This Sprint bridges the Deliver → Drive transition — ensuring what you build is fully adopted and optimized.
Discovery
Identify AI opportunities
Design
Design your systems and architecture
Deliver
Implement and deploy
Drive
Optimize and scale