Explainability icon Explainability

Clear explanations for automated decisions — without access to internal data.

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Explainability module

Finance decline explainability, in minutes

Use this when a payment, verification, or automated decision is rejected and you need a clear explanation fast.

Debug automated decisions — ranked reasons and next steps, without internal data.

No internal data required.

You only need 2–3 signals to start.

Demo Result

Preview a synthetic analysis with ranked explanations before sign-up.

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Example input signals

  • Domain: Finance decline
  • Service: Card checkout
  • Action type: Payment authorization
  • Country mismatch: yes

Example output

Primary conclusion

Most likely reason: Issuer risk controls triggered (82%). Start with: Retry with 3DS enabled..

Issuer risk controls triggered

Likelihood this caused the decline: 82%

Velocity threshold exceeded

Likelihood this caused the decline: 67%

Card-country mismatch review

Likelihood this caused the decline: 54%

How it works

Step 1: Submit signals

Add a few context signals like service, action type, and outcome.

Step 2: System ranks explanations

The engine scores likely reasons and orders them by confidence.

Step 3: You get actionable next steps

Each top reason includes practical actions you can take immediately.

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Also supported: Insurance denial, Pricing change, Generic decision, Hiring rejection, and Moderation block

Quick analysis

Describe what happened and receive a confidence-ranked explanation.

What happened

Pick the scenario that best matches the outcome.

Example: Card authorization flow

Example: payment_authorization

If you have a raw error code/message, include it — it often has the highest impact on the explanation.

Context (optional)

You’ll get ranked reasons with likelihood and suggested actions.

You’ll get ranked reasons with likelihood and suggested actions.

Supported services

20 services