> ## Documentation Index
> Fetch the complete documentation index at: https://irisdocs.prescientlabs.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Use Case Library

> Use problem patterns by business function to generate better opportunity hypotheses without defaulting to AI.

The Use Case Library is a **hypothesis generator**, not a catalogue to sell from blindly.

Start with the client workflow and evidence. Then use these patterns to ask better questions.

## Use the same structure for every opportunity

**Problem → Current process → Evidence to collect → Intervention options → Required data → Expected benefit → Complexity → Risks → Human oversight → KPI**

## Before recommending anything

Ask:

1. Should this task exist at all?
2. Can the process be simplified first?
3. Would rules-based automation solve it?
4. Is integration the actual constraint?
5. Does probabilistic AI add enough value to justify its risks?
6. Where should human approval remain?

## High-value patterns to look for

* repeated manual data transfer;
* high-volume drafting and summarisation;
* document classification or extraction;
* knowledge search;
* triage and routing;
* reconciliation and exception handling;
* repetitive decision support;
* handoff delays;
* rework caused by incomplete inputs;
* forecasting or reporting work with large manual preparation steps.

<Warning>
  A technically feasible use case can still be commercially weak. Prioritise evidence, value, readiness and implementation path.
</Warning>

Use the function pages to build hypotheses, then return to **AI & Automation Opportunities** to prioritise them.