AI decision review for product teams

Stress-test consequential AI product decisions before they ship.

See who is affected. Test assumptions. Assign safeguards. Record the human decision.

One decision. 90 minutes. An accountable record.

T Decision review Candidate screening copilot
Review in progress
Decision under review

Should the hiring copilot rank applicants and recommend who advances?

3 open questions
Goal

Reduce screening time and help recruiters find strong candidates.

Proposed use

Score applicants on predicted job success. Show recruiters a ranked shortlist. Automatically advance the top 20.

Training signal

Historical manager ratings and past hiring outcomes.

Launch metrics

Time to shortlist and recruiter acceptance rate.

Core value

From vague concern to owned action.

01

Surface impact

Map affected people, hidden burdens, and second-order effects.

02

Test the case

Separate evidence from assumption before the decision hardens.

03

Create accountability

Turn findings into safeguards, owners, and a decision record.

The workflow

One decision. Four disciplined steps.

  1. 01

    Frame

    Name the choice and what can still change.

  2. 02

    Map

    Identify affected people and possible effects.

  3. 03

    Test

    Challenge assumptions, evidence, and safeguards.

  4. 04

    Decide

    Record the owner, rationale, dissent, and actions.

Founding pilot

Bring one decision that can still change.

We guide one cross-functional review and return an impact map, prioritized actions, and an accountable decision record.

AI supports the review. People own the decision. TechEthics does not certify ethics or compliance.

Pilot request Tell us about the decision.

Qualified teams receive a direct follow-up.