The short answer
Paloren provides an AI use case prioritisation framework that helps teams select one workflow with enough value, evidence and ownership to justify a build.
Prioritise AI use cases by scoring business value, evidence readiness, system access, owner capacity and risk. Choose a first workflow with clear inputs, outputs and a named reviewer.
What this can change for your team
- Scored shortlist
- Clear first build
- Owner plan
01 / 02AI use case prioritisation
How do you prioritise AI use cases?
Score value, evidence, owner capacity and risk.
How we make this work
Start by listing candidate workflows. Score each one on business value, current evidence quality, system access, owner capacity and risk. A use case with high value but poor data may still be viable if data preparation is feasible. A use case with no owner is rarely ready. This turns selection into a testable decision rather than a technology preference.
- Business value
- Evidence readiness
- Owner and risk
02 / 02AI use case prioritisation
What makes a first AI build suitable?
Clear inputs, outputs and reviewer.
How we make this work
A suitable first build has a repeatable workflow, accessible data, a defined output and a person who can review it. Good candidates include ticket classification, document summarisation, CRM follow-up drafts or reporting preparation. If any of these is unclear, use discovery to define the workflow before building.
- Repeatable workflow
- Defined output
- Named reviewer
Make the next decision
What to do with this
Use-case register
Scoring model
Shortlist
Build brief
Review plan
Owner route
- 01
List candidates
Include all candidate workflows.
- 02
Score criteria
Value, evidence, access, owner, risk.
- 03
Select one build
Pick the testable candidate.
- 04
Review after launch
Record what worked.
| Stage | What it changes |
|---|---|
| List candidates | Include all candidate workflows. |
| Score criteria | Value, evidence, access, owner, risk. |
| Select one build | Pick the testable candidate. |
| Review after launch | Record what worked. |
Which workflows are candidates?
Tell Paloren the value, systems and owners.
Reply from the team within one business day. No deck, no technical brief needed.
Before we begin
Questions we get asked, answered with numbers
Should we start with the easiest use case?
Not necessarily. Start with a workflow that has enough value and clear evidence.
What if two use cases score equally?
Choose the one with the clearer owner and test plan.
Can we run several at once?
Usually no. A first build should prove the pattern before scaling.
What if the best candidate has poor data?
Assess data preparation feasibility before ruling it out.
Which workflows are candidates?