Most AI systems fail not because of poor design—but because of poor maintenance.
Over 70% of enterprise AI models lose accuracy within 6 months without retraining. Without continuous monitoring and alignment, even the best AI models degrade, drift, or lose relevance as business realities change.
Model drift
Performance declines as data evolves.
Low visibility
Teams lack insights into how models are performing.
Unmanaged scaling
Systems expand without governance or control.
Get continuous visibility, updates, and improvement for every deployed AI solution.
Stay ahead of drift, downtime, and data misalignment. Sprintmore’s Enablement Sprints are structured to ensure every system we build—or you operate—remains effective, compliant, and ready for change.
Performance Monitoring & Reporting
Real-time dashboards and health checks for model accuracy, drift, and utilization.
Governance & Retraining Loops
Scheduled retraining and performance tuning to keep results strong.
Operational Support
Expert assistance, automation scaling, and ongoing workflow optimization.
Everything you need to keep AI systems stable and improving.
From implementation to optimization
Enablement is your foundation for scale. Enablement sits between Deliver and Drive)
Discover
Audit current tools, data sources, and systems landscape.
Design
Create architecture and flow diagrams for data, AI, and integrations.
Deliver
Review technical feasibility with your IT and AI teams.
Drive
Provide architecture blueprint and system build plan.
Where Enablement Fits in the 4D Journey
Discovery
Identify AI opportunities
Design
Design your systems and architecture
Deliver
Implement and deploy
Drive
Optimize and scale