KR eCampusCourses coming soon

KR ECAMPUS

Choose your country

Select your country to switch to the right eCampus site.

Back to courses

Advanced · Self-paced learning

AI Use-Case Portfolio Management

Inquiry This course is not yet bookable.

A service agent promises high value but needs data approval that is not yet available and the same scarce specialist as other initiatives. An internal search tool can be tried in a limited way with approved documents. Decide which AI initiative should start first.

Compare four to six AI use cases by value, data, effort, risk and shared resources. Set quality and value criteria for the search tool before assessing supplied test results against the previous way of working. Then revise the sequence if specialist capacity falls or data approval does not arrive.

Take away an editable portfolio with resources, dates and next tasks. Your own cases can replace the supplied profiles.

What you will work on

  • You formulate a decision question for four to six AI use cases and assign an owner and the limits of that role’s mandate.
  • You assess each case for expected value, feasibility, risk and dependencies, making assumptions and evidence gaps explicit.
  • You reorder four to six initiatives after a reduction in specialist capacity.

Who it is for

  • Transformation leads
  • Business-unit leaders with AI initiatives
  • Portfolio or programme owners

Topics

  • Portfolio boundaries and decision questions
  • Value hypotheses and strength of evidence
  • Feasibility, data readiness and technical prerequisites
  • Risk, control needs and unresolved legal and data protection questions
  • Dependencies, sequencing and scenario testing
  • Decision memo and handover to responsible management

Your result

Your editable AI portfolio records use cases, comparison criteria, shared resources, dates and next tasks. Update the sequence when new information arrives.

Prerequisites

Experience in leading projects or change initiatives, plus access to a list of use cases and to people who can answer questions on value, data and risk. A basic understanding of AI use cases is helpful; programming knowledge is not required. If access is unavailable or information is confidential, you work on a case study with a comparable decision structure.

Format and approach

Planned: 5–6 hours of self-study, with four to six case profiles, templates, an annotated example and self-checks.

Planned learning time: 5–6 hours

Enquire about this course