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 on the Genow platform 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 — leads to platform pilots without business focus.

Feasibility overrated, data readiness underrated.

ROI kept qualitative — no numbers, no political cover.

Using a centralized knowledge platform 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 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 via the Genow platform.

See Genow in action

Book a 30-minute demo and see what your documents, data, and systems can do with Genow.

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