AI accountability starts with who gets seen. Let's look at a recruiting example.

Imagine recruiters routinely reviewing only the top ten AI-ranked applications. That ranking now shapes who receives meaningful consideration.

A human makes the final decision. But can that person access the full applicant pool, examine the evidence, and challenge the ranking?

First, ownership. Name the accountable business owner, and make clear who can pause the workflow when concerns arise.

Second, authority. Permission to recommend a ranking does not automatically include permission to reject applicants or change their status.

Third, evidence. Test whether access, overrides, and pause procedures actually work in your configured workflow.

Start with one workflow. Resolve the gaps and verify the controls before expanding what the AI can do.

The executive guide and fifteen-question assessment help you identify those gaps and turn them into a practical action plan.

Make accountability part of the workflow, before AI shapes the decision. Anvaylo's toolkit helps your team clarify ownership, define permitted authority and assemble the evidence behind a recruiting AI deployment.

Download this toolkit, and explore others like it, from the Resources page at anvaylo.com/resources.