Use-Case Scorecard: Which AI Projects Actually Deliver ROI in the Mid-Market

A downloadable scorecard (XLSX) for prioritizing AI Use Cases. Impact, feasibility, data readiness, time-to-value, ROI in one matrix.

Use-Case Scorecard: Which AI Projects Actually Deliver ROI in the Mid-Market

Why do I need a Use Case scorecard?
Because mid-market AI projects don’t usually fail on the model. They fail on the wrong Use Case. The scorecard forces the buying center to weigh impact, feasibility, data readiness, time-to-value and ROI side by side before budget moves.

Scorecard structure

Five dimensions scored 1–5: business impact, feasibility, data readiness, time-to-value, ROI estimate. Weighted sum yields a priority score. Two traffic-light flags: compliance risk and executive sponsorship.

Typical patterns

Service agents: high impact, medium feasibility, mature data, fast TtV, usually rank 1.

Proposal / RFP agents: very high impact, moderate feasibility, data partially structured.

Product-knowledge agents: high impact, high feasibility, data mostly in PIM or SharePoint.

HR agents: medium impact, high feasibility, fast TtV, low euro ROI, but strong adoption lever.

Production / OEE agents: very high impact, more demanding feasibility due to MES integration.

How to run the scorecard

In a half-day workshop with IT, business and finance. Score three to six candidates. Lock the top two and push them into the 90-day playbook.

Integration with the 90-day playbook

The scorecard feeds week 1 of the 90-day playbook. A clear Use Case score cuts pre-work and forces early KPI alignment. Now that the groundwork has been laid internally, you can create a knowledge agent in Genow’s AI Workspace in just a few clicks and immediately take advantage of its highly precise search capabilities.

Common prioritization mistakes

Use Case chosen by the vendor, not the company. This leads to platform pilots without business focus.

Feasibility overrated, data readiness underrated.

ROI kept qualitative: no numbers, no political cover.

Using a central AI Workspace such as Genow helps eliminate additional risk factors that could lead to the failure of AI projects.

FAQ

Does the scorecard replace a business case?

No. It prioritizes; the business case runs the numbers on the chosen Use Case.

Do I need external consultants?

No. A good sponsor, an IT lead and a business owner are enough.

How often to refresh?

Twice a year. Data readiness and priorities shift. Current KPIs can be retrieved and analyzed directly in Genow.

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