Stay at the cutting-edge of AI adoption through continuous improvement.
This phase focuses on driving continuous enhancements through evaluation of large-scale AI deployments by analysing ROI, operational costs, efficiency gains, and improvements in customer satisfaction metrics, ensuring sustained value and impact.
1. Track ROI and efficiency gains
Measure improvements in service quality, customer satisfaction, and cost reduction.
Conduct periodic business impact reviews.
2. Iterate models and processes
Revisit pilot insights and model performance.
Recalibrate models with fresh data and user feedback.
3. Reassess organisational capabilities
Repeat readiness assessments as the scale increases.
Invest in upskilling and infrastructure expansion as needed.
4. Adapt to changing contexts
Monitor regulatory changes, ethical standards, and market trends.
Adjust AI governance and risk management practices accordingly.
Go beyond adoption to reaping the true benefits of AI. Get started with our pro bono, no-obligation AI Readiness Assessment.
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