Executive Briefing Course
AI-Driven Business and Intelligent Software Management
Develop an approach to AI-assisted business and software management that connects use case selection, information quality and human review of recommendations.
Course Overview
Examines AI-assisted approaches to business workflows and software management. Participants assess use cases, information quality and the controls needed to review automated recommendations.
Who This Course Is For
- Business managers evaluating AI workflows
- Software managers reviewing operational recommendations
- Digital transformation and process specialists
- Technical leads coordinating AI-assisted decisions
What Participants Will Learn
Assess business needs for AI-assisted workflows
Review information quality and decision assumptions
Map software management recommendation review points
Define human responsibilities for automated recommendations
Present a bounded AI workflow proposal
Key topics
- Use case selection
- Information quality
- Workflow design
- Recommendation review
Course Modules
Back to Course OverviewBusiness and Software Management Context
Business and Software Management Context
Module overview
Review AI use cases across business workflows and software management, with attention to information quality and recommendation review.
Key topics
Use case selection · Information quality · Workflow design · Recommendation review
Learning outcome
Identify a use case and the information and review responsibilities it requires.
Learning format
Guided discussion · business case review
Use Case Selection and Boundaries
Use Case Selection and Boundaries
Module overview
Compare proposed use cases against business needs and define which decisions remain subject to review.
Key topics
Business objectives · Use case boundaries · Decision responsibilities · Value assumptions
Learning outcome
Define a bounded AI use case and its decision responsibilities.
Learning format
Business case discussion · option review
Information Quality and Assumptions
Information Quality and Assumptions
Module overview
Assess whether the available information supports a proposed workflow and identify assumptions affecting recommendations.
Key topics
Information sources · Quality checks · Decision assumptions · Evidence gaps
Learning outcome
Identify information weaknesses affecting an AI-assisted recommendation.
Learning format
Evidence review · guided discussion
Workflow Design and Human Review
Workflow Design and Human Review
Module overview
Map recommendation generation, review and follow-up within a business or software management workflow.
Key topics
Workflow design · Recommendation review · Human oversight · Follow-up actions
Learning outcome
Outline a workflow with explicit human review and escalation points.
Learning format
Guided discussion · workflow exercise
AI Management Workflow Case
AI Management Workflow Case
Module overview
Assess a workflow proposal and explain its information requirements, review points and unresolved assumptions.
Key topics
Business case study · Workflow assessment · Recommendation evidence · Review responsibilities
Learning outcome
Participants can assess a proposed AI workflow and define human review points.
Learning format
Lectures, business case studies and workflow workshop
Programme Information
Course duration, location, practical components, training-centre information and applicable certification arrangements depend on the selected programme.
Learning format: Lectures, business case studies and workflow workshop
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