AI Use Case Prioritization

Decide which AI use cases to build first, and on which model.

We score your AI ideas, test models on your own data and plan the first build.

Engineer maintaining production equipment on a factory floor
Manufacturing

Sales order automation

Frontier model in your cloud
Build first

What you get

Ranked use cases

Your AI ideas ranked, each with an approach: AI agent, automation or reporting.

Model and hosting decision

The model for each use case, and where it runs.

Model test on your data

We test models on your data for accuracy, cost and speed.

Use case cards

One page per use case, ready for funding approval.

Plan

A plan for the year, and a fixed-price proposal to build the first use case.

How we score

Each use case gets four scores.

Value

Hours saved, revenue, cash or risk reduced.

Data readiness

Whether the data exists, can be reached and is clean enough.

Effort

How many systems are involved and how much review the work needs.

Risk

Rules you must follow, impact on customers and how clearly results must be explained.

Then we pick where it runs

Frontier model, as a service

For low-risk tasks that need strong reasoning.

Frontier model in your cloud

For sensitive data that still needs top accuracy, on Azure, AWS or Google Cloud.

Open model on your infrastructure

For regulated data, high volumes or tight running costs.

Frontier models are the leading commercial models, such as Anthropic Claude and Google Gemini. Open models, such as NVIDIA’s, can run on your own servers. We recommend what fits each use case.

Try it on one idea

Pick an example or rate one of your own ideas. You get the decision and the model we would start with.

Decision

Approach

Where it runs

Get the full sample report

A quick guide based on four scores and three facts about the work. A full prioritization adds business cases and model tests on your data.

How it works

We use our scoring tools and agree every decision with your team.

  1. Gather

    We collect your AI ideas and add ideas from our industry lists.

  2. Score

    We score each idea and pick the approach and model.

  3. Test

    We test the models on a sample of your data.

  4. Plan

    We present the results and a plan to build the first one.

Sample report

Eight pages from a full report for a US-based manufacturing client: all 22 ideas scored, business cases for the top five, a model test and the build plan.

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Your sample report is ready.

Download the sample report (PDF)

Who it’s for

  • You have a list of AI ideas and need to decide which to fund first.
  • You need to choose between frontier models and open models.
  • You scored Emerging or Strong on the AI Readiness Diagnostic.

Questions

What data do you need for the model test?

A small sample of your documents or records, chosen and approved by your team.

What happens after prioritization?

You keep everything. If you want us to build the first use case, we start from its card.

Should we check our data first?

If your data is not ready for your top use cases, start with the Data Readiness Assessment. The AI Readiness Diagnostic helps you decide.