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AI Transformation

AI Problem Framing Training

Train your people to turn scattered AI ideas, business requests and leadership mandates into clearly defined, prioritised AI use cases tied to real business value. AI Problem Framing gives AI Enablement teams, AI Champions, Forward Deployed Engineers and technical delivery teams a practical method they can use repeatedly to guide discovery, align business and technology stakeholders, and decide what is worth pursuing before implementation begins.

English

Offered by Design Sprint Academy

Course overview

AI ideas come from everywhere: leadership mandates, vendor pitches, competitors, AI Champions and requests from different business units. Without a shared way to evaluate them, the loudest or most technically interesting ideas often get the attention and budget.

AI Problem Framing gives your organisation a repeatable one-day method for deciding which AI opportunities are worth pursuing. Participants learn to connect AI ideas to business goals, understand the people and workflows affected, identify where AI could create value, and turn the strongest opportunities into clear AI Use Cases.

Design Sprint Academy teaches what we practice. We use AI Problem Framing ourselves with enterprise teams, and the training is built from that real client work.

Participants leave with the full implementation toolkit — playbook, workshop agenda, facilitation slides and worksheets — so they can run AI Problem Framing themselves across teams and business units.

What you'll learn

  • Scope an AI Problem Framing workshop and bring the right business, technical and operational stakeholders together
  • Connect AI ideas to strategic business outcomes
  • Identify the people most affected and the problems worth solving
  • Map the relevant journey or workflow to find where AI could create value
  • Evaluate opportunities for value, feasibility, data and risk
  • Turn the strongest opportunities into clear, prioritised AI Use Cases

Course content

5 sections · 0 modules

Participants learn how to bring AI ideas, leadership mandates, experiments, vendor proposals and business requests into one shared view before judging them. The goal is to make the team’s starting assumptions visible. Different stakeholders often arrive with very different ideas about what AI should do, which opportunity matters most, or even what problem they are solving. Participants learn how to capture and cluster these inputs without immediately jumping into solution debates. For an internal AI team, this may be a backlog of ideas from across the organisation. For an FDE or AI vendor, it may begin with a client request such as “we need an AI agent” or “we want to automate this process.” Outcome: A shared picture of the AI ideas, requests and mandates currently competing for attention.

    Requirements

    • Participants should be involved in identifying, prioritising or facilitating AI opportunities inside their organisation. No specific technical prerequisite is required by the programme.

    Who it's for

    • AI Enablement, Adoption, Transformation Leads
    • Forward Deployed Engineers
    • Innovation and Digital Transformation Leads
    • People responsible for identifying, evaluating or prioritising AI use cases across the organisation
    • AI vendors and internal IT teams
    • AI Champions

    Offered by

    Design Sprint Academy
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