# Build a company-fit review queue

Use case · Platforms · Planned API workflow

Canonical page: https://datasdk.ai/use-cases/build-a-company-fit-review-queue

Plan a workflow that turns records into explicit accept-or-skip decisions.

## Who this helps

A product team wants users to review company signals before acting.

## How to use it

1. Choose transparent fit rules and required evidence.
2. Design the review state and store unknowns separately.
3. Confirm API fields and let users approve downstream actions.

## Illustrative example

A proposed queue would show why a business meets a user's chosen industry criteria.

## What to check

This is a product concept; fit scoring and task creation are not announced built-in features.

## How Data SDK fits

The full Data SDK API is coming soon. Platform and AI-agent workflows are planning examples. Confirm access, data delivery, usage, branding, and resale terms before building or selling a feature.

These are suggested workflows, not a list of built-in integrations. Use your own approved analytics, CRM, and research process where needed. Matches and fields vary. A company match does not identify a person or prove buying intent.

## Related reading

- [Account scoring](https://datasdk.ai/glossary/account-scoring): Account scoring assigns a value to a business using chosen fit and activity rules.
- [Schema](https://datasdk.ai/glossary/schema): A schema describes the structure and expected fields of data.
- [Human review](https://datasdk.ai/glossary/human-review): Human review puts a person in the loop before a result is accepted or acted on.
- [Offer identification in a website-builder product](https://datasdk.ai/use-cases/offer-identification-in-a-website-builder-product): Plan identification as a clearly explained optional website capability.
- [Build a tenant-safe company lookup service](https://datasdk.ai/use-cases/build-a-tenant-safe-company-lookup-service): Plan company lookup around authorized customer contexts.
- [Design a graceful no-match experience](https://datasdk.ai/use-cases/design-a-graceful-no-match-experience): Avoid misleading users with guessed names or stale company cards.

[Glossary](https://datasdk.ai/glossary) · [Use cases](https://datasdk.ai/use-cases) · [Comparisons](https://datasdk.ai/vs) · [For businesses](https://datasdk.ai/for-businesses) · [For builders](https://datasdk.ai/for-builders)
