Tool

Use-case prioritisation

Of all our ideas, which one first?

Your use cases ranked by realised value per euro of effort, placed on a value/effort plane, with the reason for each rank.

  • ≈ 5 min
  • Free calculation · AI commentary on request
  • You leave with: Your use-case list ranked, on a value/effort plane

The candidates

Five examples are prefilled to show the tool working. Replace them with your own.

€/h
  • Meeting minutes summaries
  • First draft of investment notes
  • Tender responses
  • CV screening and qualification
  • Assistant over the internal document base
5/12

The ranking

Realisable annual value (all cases)
€200,000
€71,000 — €430,000
Total implementation effort
€610,000
€130,000 — €2,900,000
Quick wins
2
Meeting minutes summaries, First draft of investment notes
Value of the top 3
€160,000
78% of the total
Reading

The figures above are computed and free. If you also want them read back to you — what they mean, what is specific to your sector, where to start — that is produced on request.

Value against effort

Quadrants are drawn on the medians of YOUR set, not on fixed thresholds: the plane is always populated and the comparison is always relative to your own options.

Annual value (€) / Effort (€)Quick winsStrategicFill-insAvoidMeeting minutes summarFirst draft of investmAssistant over the intTender responsesCV screening and qualiEffort (€) →Annual value (€) →

In order

Ranked by realised value per euro of effort. The first is not necessarily the largest: it is the one that pays back fastest.

  1. 1. Meeting minutes summaries€74,520

    Effort €21,600 · ~1.3 months · quick win

  2. 2. First draft of investment notes€29,808

    Effort €97,200 · ~4.4 months · quick win

  3. 3. Assistant over the internal document base€55,890

    Effort €243,000 · ~11.1 months · strategic

  4. 4. Tender responses€23,184

    Effort €109,350 · ~5 months · fill-in

  5. 5. CV screening and qualification€20,700

    Effort €136,800 · ~4.4 months · avoid

The detail

Cost line items
LineEstimate
Return
#1 Meeting minutes summaries

Above-median value for below-median effort: start here. Estimated effort €21,600 over ~1.3 months.

€75,000
€26,000 — €160,000
#2 First draft of investment notes

Above-median value for below-median effort: start here. Estimated effort €97,200 over ~4.4 months.

€30,000
€10,000 — €63,000
#3 Assistant over the internal document base

High value but heavy effort: scope it properly, do not improvise it. Estimated effort €243,000 over ~11.1 months.

€56,000
€20,000 — €120,000
#4 Tender responses

Cheap but low value: fine for spare capacity, not for justifying a budget. Estimated effort €109,350 over ~5 months.

€23,000
€8,100 — €49,000
#5 CV screening and qualification

High effort for little value at this stage. Revisit if the data or the scope change. Estimated effort €136,800 over ~4.4 months.

€21,000
€7,200 — €44,000

The assumptions

Every figure above rests on these. The ones marked “assumption” have no external source: they are modelling choices, labelled so they can be argued with rather than mistaken for measurements.

Working weeks
46Assumption
Net of leave and public holidays.
Active users
60 %Published
Active use as a fraction of seats bought. Enterprise assistant deployments routinely report 30–60% sustained active use; the top of this range requires deliberate enablement, which is what the change-management line above pays for.
Realisation factor
50 %Assumption
The gap between hours saved and value realised. Twenty minutes saved across a fragmented day is often not recoverable as anything. This is the single biggest reason AI business cases overshoot, and it is why the tool never quotes raw hours × rate as a benefit.
Data gap
10 days per levelObserved
Engineering days to make the data usable, per missing readiness level. This is where the difference between a quick win and a two-year project hides.
Risk factor
× 1 / 1,35 / 1,9Assumption
Effort multiplier by risk: a risky case costs more in validation, monitoring and rework.

What the calculation does, what the AI does

Every figure on this page comes from a deterministic algorithm running in your browser: the same input always gives the same result, and nothing is sent to produce it. AI runs only afterwards, to write the commentary from those figures. It produces none of them — the format it fills has no numeric fields — and any sentence quoting a value the calculation did not produce is removed before display.

Where to go next

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