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Use Cases · Public Institutions

Decisions that survive the review.

Public institutions are judged less on whether a decision turned out well and more on whether it was reasonable on the evidence available at the time. Civiq.plus keeps that evidence, its confidence, and the approval trail attached to the decision itself.

Append-only

Audit history

4 classes

Data classification

13 roles

Default role model

Versioned

Model weights and prompts

The problem

What teams tell us before they start

These are the patterns that come up most often in scoping conversations for this kind of organisation.

The reasoning is lost

A decision is recorded but the evidence behind it, and how confident that evidence was, is scattered across email and slide decks nobody can reconstruct a year later.

Confidence is stripped in transit

An estimate with wide uncertainty becomes a single number in a briefing note, and the caveat does not survive the second retelling.

Approval trails are informal

Who approved what, on what basis, and whether the compliance review actually happened is reconstructed after the fact rather than recorded as it went.

AI outputs enter unlabelled

Model-generated summaries and drafts circulate without a record of which model, which data scope, or whether a human reviewed them.

Capabilities

What Civiq.plus brings to it

Evidence-linked decisions

An agenda object connects a problem to verified sources, the intended action, proof points, constraints and target indicators.

  • Draft, research, fact-check, approval lifecycle
  • Verified sources and documents attached
  • Baseline and target recorded upfront

Immutable audit

Approvals, broadcasts, status changes and agent runs are written to an append-only history that cannot be quietly edited.

  • Traceable to a person and a time
  • Preserved across reopens
  • Exportable for review

Governed AI

Agents are registered, permissioned, versioned and audited. High-impact material does not publish without an explicit approval.

  • Model, provider and version recorded
  • Data and geographic scopes enforced
  • Human decision captured on every run

Data classification

Public, internal, confidential and restricted classes each carry default controls, retention and access rules.

  • Need-to-know geographic and role scope
  • Short retention where feasible
  • Explicit allow-lists for restricted data

Separation of duties

Analysis, approval and compliance sit in different roles, so the person producing a recommendation is not the one clearing it.

  • Role plus geographic scope
  • Dedicated compliance role
  • Approval chain recorded on the object

Explainable alerts

Every alert and recommendation exposes its evidence, contributing signals and confidence rather than asserting a conclusion.

  • Contributor breakdown per signal family
  • Assumptions stated
  • Confidence grade attached

Outcomes

What changes in practice

  • A decision record that includes the evidence and its confidence
  • An approval trail recorded as it happens, not reconstructed
  • AI-assisted work labelled and traceable to a model version
  • Sensitive data held under an explicit classification
  • Reviews that can examine reasoning rather than only outcomes
“We were not asked whether the decision was right. We were asked to show what we knew when we made it.”

The question most institutional reviews actually ask

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See how Civiq.plus can help your teams make better decisions, faster.