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Use Case Discovery

Find the AI and data use cases that actually pay off — before you spend a franc on development.

Use Case Discovery is a structured engagement that identifies, evaluates, and prioritizes AI and data use cases across your organization. Instead of chasing trends, you get a scored shortlist of opportunities ranked by business value, feasibility, data readiness, and risk — so investment flows to what will actually work.

Who this is for

Leadership teams and department heads who know AI should be creating value but need evidence — not opinions — on where to start.

What you get

  • A prioritized shortlist of AI use cases scored on value, effort, and risk
  • A clear no-go list: ideas that sound good but won't pay off, and why
  • Data readiness assessment for each candidate use case
  • Alignment between leadership and the teams who will live with the solution

What's included

Discovery workshops

Facilitated sessions with the teams who own the workflows — mapping tasks, pain points, and data sources where AI can realistically help.

Feasibility and data checks

For each candidate, we verify that the data, access rights, and system interfaces exist to support it — before it reaches the shortlist.

Value and risk scoring

A transparent scoring model covering business impact, implementation effort, regulatory exposure, and change-management load.

Executive readout

A decision-ready presentation for leadership: what to build first, what to pilot, what to drop, and what each path costs.

How it works

  1. 01

    Frame the objectives

    We align on business goals, constraints, and the departments in scope — typically in a half-day kickoff.

  2. 02

    Run discovery workshops

    Structured sessions with each team surface real workflows, bottlenecks, and data — not hypothetical use cases.

  3. 03

    Evaluate and score

    Every candidate is checked for feasibility, data readiness, and risk, then scored against your priorities.

  4. 04

    Present the roadmap seed

    You receive the shortlist, the reasoning, and a recommended first project — ready to hand to an AI Project Roadmap or straight into development.

Deliverables

  • Use case inventory with scoring matrix
  • Data readiness assessment per shortlisted case
  • Executive summary with recommended first moves
  • Workshop documentation and workflow maps

Frequently asked questions

How long does use case discovery take?

Typically two to four weeks depending on how many departments are in scope. Most engagements involve two to four workshops plus analysis and the executive readout.

What makes a good AI use case?

A good AI use case combines a repetitive, high-volume workflow, accessible and reasonably clean data, measurable business value, and tolerance for human review. We score every candidate on exactly these dimensions.

Do you also tell us what not to build?

Yes — that is half the value. A clear no-go list with reasons protects you from spending five-figure budgets on ideas that fail on data readiness, regulation, or return on investment.

Ready to scope this with us?

Tell us about your systems, data, and goals. We reply within one Swiss business day with a concrete next step.

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