Accountable AI for government

Automation the public can trust

Public-sector work carries a duty that private automation does not: decisions must be explainable, contestable, and on the record. A single opaque model that issues a determination with no traceable reasoning cannot meet that bar. FYAI is built so that automation strengthens accountability rather than eroding it.

Human oversight of automated decisions

FYAI keeps a person in the loop wherever a decision affects a citizen or commits the agency to an action. An approval gate pauses the workflow, presents the proposed decision and the evidence behind it, and waits for an authorised officer to approve, amend, or reject it. Automation handles the volume; people retain the judgement.

Policy agents that enforce the rules as written

A policy agent checks each action against the governing rules — eligibility criteria, statutory thresholds, process requirements — before anything downstream happens. Policy lives in a place caseworkers and legal teams can review, not hidden inside a model's weights.

• Apply eligibility and threshold rules consistently across every case.
• Route edge cases to the right human reviewer automatically.
• Update the rule, not the model, when policy changes.

A complete, reviewable record

Every input, agent action, policy check, and approval is captured in one operational view. Whether the question comes from an ombudsman, an OIA / FOI request, an internal audit, or a court, the record of what happened and why already exists.

Where agencies start

• Case triage and routing with eligibility checks and human sign-off.
• Correspondence and information requests with reviewed, policy-bounded responses.
• Internal operations and reporting with end-to-end traceability.

FYAI is built in New Zealand and serves public-sector and enterprise organisations worldwide. To understand the architecture, read our guide to multi-agent systems for enterprise.