How to Implement AI in Business Without Wasting a Quarter

Short summary

Most companies fail at AI implementation not due to tool limitations but poor execution and unclear business fit. Success requires identifying narrow, measurable workflows tied to cost, speed, or quality; assessing data and process readiness before starting; running small pilots with clear ownership, baseline metrics, and escalation rules; and establishing lightweight governance before broader rollout.

• •Choose narrow business problems with visible economics and clear ROI metrics
• •Assess data quality and process clarity before pilot; don't automate broken workflows
• •Run small pilots with clear ownership, baseline metrics, and governance before scaling

Generated with AI, which can make mistakes.