Sherlock AI

This guide details the essential questions enterprises need answered to evaluate, implement, and scale Sherlock confidently across the org

Sherlock FAQs

What data does Sherlock collect?

Where is my data stored?

What permissions does Sherlock need?

How much does Sherlock cost?

When can Sherlock fail?

How does Sherlock detect AI-assisted cheating?

Can Sherlock be integrated with our existing interview platform?

Does Sherlock require special hardware or setup for candidates?

This article enlists key comparison between WeCP advanced proctoring and Sherlock

Sherlock vs WeCP Advanced Proctoring

Gemma Azur

Sherlock Team

FAQs

API Reference

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Create your workspace and invite the people you work with.

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Connect the tools your team already uses to bring data in.

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A quick lap of the product so you know where everything lives.

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This prototype demo is aware that you are reading “{title}”. It can point you back to the current article, but a production article-aware Fin contract is still follow-up work.

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Because you already asked about invitations, this prototype demo can add the follow-up: use the role selector before sending each invite to limit access to the teammate responsibilities.

Prototype role-limiting follow-up

This prototype demo suggests starting with your workspace profile, inviting the team members who need access, and then connecting the integrations you use.

Prototype getting-started answer

In this prototype demo, integrations are configured from workspace settings. Choose the integration, connect the account, and review the enabled permissions.

Prototype integrations answer

In this prototype demo, invite teammates from workspace settings, then choose the access each teammate needs before sending the invitation.

Prototype invite-team answer

This prototype demo does not have a scripted answer for that question yet. Try asking how to invite your team or open a source article. No production Fin API was called.

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