> ## Documentation Index
> Fetch the complete documentation index at: https://klarityai-add-transformation-playbook.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Pick the right use case

> Choosing the right problem is higher-leverage than choosing how to build it.

> The hard part isn't building agents. It's knowing which agents to build.
>
> Heard in a public company boardroom.

Selection comes first. Choosing the right problem is higher-leverage than how you build it, and it's where most of the value, or the wasted effort, is decided.

## The screens

**Mind the jagged frontier.** AI is unevenly capable, strong at one task and surprisingly weak at an adjacent one. Don't assume a use case is feasible because a neighbor is. Carry several candidates and test each.

**Favor problems that don't demand multiple nines of accuracy.** The best early candidates are high-volume and repeatable, have data already in the Company Brain, and carry an error cost a human gate can absorb.

**Qualify each candidate** against three tests:

| Test                 | What it means                                       |
| -------------------- | --------------------------------------------------- |
| Evidence             | Grounded in observed work, not assumption           |
| Deployment readiness | Ships without new procurement, IT, or vendor review |
| Materiality          | Clears a meaningful value threshold                 |

**Know what not to touch.** Irreducible human judgment, a regulatory floor on human review, or volume too low to pay back are signs to decline rather than force.

**Apply an enterprise bar.** Prioritize work that spans more than one team or touches a system of record and has a durable, named owner, rather than personal-productivity hacks.

## Finding the candidates

The screens above tell you what to keep. To generate the candidates in the first place, [Find transformation opportunities](/guides/find-opportunities) covers the tool chain for scanning the process tree and ranking what comes back. [Form a transformation thesis](/guides/transformation-thesis) goes deeper on a single candidate, including its blast radius.

Once you know what to solve, choose the shape it should take in [What you can build](/transformation/what-you-can-build).