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Use-Case Prioritization & Value Mapping.

Every candidate use case scored on value, feasibility, and risk, so the first thing you build is the one that proves the program.

Forty ideas is not a portfolio. It's a queue with no rules.

Every AI workshop ends the same way: a wall of sticky notes and no way to choose. So organizations pick by enthusiasm, or by whoever argued loudest, and the first build fails to prove anything.

​

We turn the wall into a scored portfolio. Value in P&L terms, feasibility against your actual data, risk you can name. The output is a sequence: the first build chosen to prove the program, and each initiative after it compounding on the last.

FOR LEADERS WHO

need to defend why this use case and not that one.

FOR TEAMS WITH

more candidates than capacity and no scoring rules.

FOR PORTFOLIOS THAT

scatter effort instead of compounding it.

01 What you get

01

The scored portfolio.

Every candidate scored on value, feasibility, and risk, with the evidence behind each score visible and arguable.

02

The value map.

Where the money actually is: use cases mapped to the P&L lines and workflows they move, not to the technology they showcase.

03

The first build brief.

The opening initiative specified: scope, owner, success metric, and why this one proves the program.

04

The refusal list.

The ideas we recommend against, with reasons written down, so they stop resurfacing every quarter.

02 How it runs

Four phases, from wall of ideas to funded sequence.

Operators and engineers score together. Enthusiasm is not a criterion.

PHASE 01

Gather.

We harvest candidates from your teams and add the ones outside their line of sight, one long list with no favorites.

PHASE 02

Score.

Each candidate tested with the people who own the workflow and the engineers who would build it: value, feasibility, risk.

PHASE 03

Argue.

A working session with your leadership where the trade-offs get made out loud and the sequence is agreed, not announced.

PHASE 04

Commit.

The portfolio in funding order, the first build fully briefed, and the refusal list on record.

03 Questions we answer

Which use case proves the program?

What's each candidate worth, in P&L terms?

Which ideas demo well and die in production?

What should we refuse to build?

What sequence compounds instead of scattering?

Who owns each initiative once it's funded?

04 Continue the arc

The plan this diligence tests against.

Test whether your data can carry the top of the list.

Set up the ownership and skills to run Al as a capability.

When the roadmap is set, this is the first thing we build.

Fund the use case that proves the program.

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