Industries · Government & Public Sector

Automated decisions the public can trust, and appeal.

When government uses AI to decide eligibility, benefits, or risk, the decision carries the force of the state. Administrative law demands that such decisions be explainable and appealable. AskLedger provides the tamper-evident record that makes public-sector AI accountable to citizens and oversight bodies alike.

The stakes

Public trust depends on being able to show your working.

An automated decision that a citizen cannot challenge, because no one can reconstruct it, undermines the legitimacy of the whole system. Public-sector bodies need decisions that are auditable by design and defensible under administrative review.

The same receipt AskLedger signs to prove your AI savings seals each automated decision as a signed, verifiable receipt, giving citizens genuine recourse and agencies a defensible record.

Use cases

See it end to end.

EligibilityAn automated benefits decision is appealed

Workflow

System decides eligibilityapplication assessed against rules & data

Receipt seals the decisioninputs, output, model/policy version recorded

Citizen appealsrequests the basis of the decision

Basis disclosed & verifiedindependently checkable on review

The moment it matters
A tribunal asks the agency to produce the exact basis of the automated decision.
Without proof
The decision logic and data of the day can't be reconstructed; the decision is quashed.
What the receipt proves
The precise inputs and policy version behind the decision, a defensible, appealable record.

Regulatory pressure

Aligned to public-sector AI expectations.

EU AI Act: public-service and access-to-benefits AI are high-risk categories.
Administrative law: duties to give reasons and enable appeal of automated decisions.
NIST AI RMF & OECD AI Principles: transparency and accountability baselines.

See full regulatory coverage →

Accountable automation for the public sector.

Talk to us about making automated decisions auditable and appealable by design.

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