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Enterprise AI Deployment

Plan how to introduce AI into a business process, from choosing a use to measuring results.

About This Course

Introduction

Adoption requires changes to the workflow, responsibilities, training and performance measures. Data access, integration, security, procurement, workflows, support, adoption, and measurement determine whether a pilot becomes a dependable service. Enterprise deployment brings those decisions together.

Your project is a CIO deployment memo for a fictional 500-person organization. Describe the proposed workflow, evidence, costs, controls, owners, and rollout. State what would justify continuing, changing direction, or stopping. The memo connects product design with governance, economics, and execution.

Begin with use-case selection and procurement, then integration and organizational change, then a measured pilot. An available feature is a possibility. Evidence that people can use it to produce a valuable outcome is what helps justify a wider rollout.

Planned Lessons

  1. Define The Business WorkflowMap the people and steps in a business process before deciding where AI could help.
  2. Build, Buy, Or PartnerCompare building an AI tool internally, buying one or working with a partner.
  3. Procurement And Due DiligenceCheck whether a supplier can meet the business’s practical and operating needs.
  4. Security And Legal Reviews As Delivery WorkInclude security and legal checks in the time and work needed to introduce AI.
  5. Data Readiness And IntegrationCheck whether the right business information is available and can connect to the new tool.
  6. Workflow Redesign And AuthorityDecide how responsibilities and approvals change when AI becomes part of a process.
  7. Pilot Design And Acceptance CriteriaSet clear success measures for a small trial before expanding an AI service.
  8. Adoption And Change ManagementPlan the training, support and working changes people need to use a new tool.
  9. ROI And Measurement DisciplineCompare results with the starting point and include the full cost of the change.
  10. Production Readiness And Service OwnershipAssign the people responsible for keeping an AI service supported and reliable.
  11. Scaling And Ongoing ChangePlan wider use while allowing for changes to the model, the process and user needs.
  12. Exit, Portability, And ContinuityPrepare to change suppliers or stop a service while keeping essential work and information available.