Australia's Automated-Decision Privacy Policy Deadline: What Must Teams Map?

Connect significant decisions, personal information, and supplier systems before December 10, 2026

Published

Australia's Automated Decisions: privacy policy readiness for 10 December 2026. A purple policy document connects to grey tiles labelled Decisions, Information, Systems, and Review, with the FormKiQ wordmark.

A lender's privacy policy says applications are reviewed by staff. Its supplier platform also scores applicants and recommends approval or refusal. Before changing the policy, the lender needs to establish what the software actually does, which personal information it uses, and how its output shapes the decision.

Start with an evidence-backed decision inventory. From December 10, 2026, Australian Privacy Principle (APP) entities must provide additional privacy-policy information for certain uses of computer programs in significant decisions. The OAIC's September 30 announcement explains the commencement date and APP 1.7–1.9 requirements. Establish whether your organisation is an APP entity before applying this obligation.

Assess the decision before drafting the disclosure

APP 1.7 combines three conditions: the entity arranges for a program to make a decision or do something substantially and directly related to it; the decision could reasonably have a significant effect on an individual's rights or interests; and the program uses personal information about that individual for that work. Record the assessment and supporting facts for each workflow.

  1. 1 · Map

    Identify the actual decision

    Describe the outcome, affected people, information inputs, and program's role.

  2. 2 · Assess

    Approve the scope decision

    Assign an owner to review significance, human involvement, and supplier evidence.

  3. 3 · Maintain

    Connect evidence to the policy

    Approve the wording and revisit it when the deployed workflow changes.

The OAIC's APP 1 Guidelines include rule-based software as well as AI. A human's final approval does not automatically remove a workflow from scope. Assess how substantially the output influences the decision; software used only to document a decision already made is a different case. Significance depends on circumstances, and beneficial effects can count too.

Keep the internal inventory more detailed than the public policy

APP 1.8 calls for the kinds of personal information used, the kinds of relevant decisions made solely by programs, and the kinds substantially and directly supported by programs. The OAIC's transparency fact sheet (PDF) supports meaningful, accessible disclosure without overwhelming readers with technical detail. Keep operational evidence behind the approved wording.

A practical internal mapping for each assessed decision category.
Inventory recordEvidence and policy connection
Outcome and impactName the decision, affected people, significance assessment, owner, and inclusion or exclusion rationale.
Personal informationMap input categories to source systems and documents. Check derived scores and inferred attributes as well as form fields.
Program contributionRetain the enabled rules or service version, output type, decision path, and evidence of human review or override.
Supplier and configurationLink the contract, enabled features, data-flow description, change notices, and responsible system owner.
Approved disclosureConnect the assessed category to a policy clause, approval record, effective version, and next review trigger.

These inventory fields are an implementation approach, rather than a prescribed statutory template. Use references to restricted case files where possible instead of duplicating applicant documents in a broadly accessible governance register. Define permissions and retention for the register and its evidence separately.

Work through a finance application's decision path

Consider a fictional lender using a supplier service to extract information from income documents, produce an affordability assessment, and recommend an application outcome. An officer reviews the recommendation and records the final decision. Treat each stage as something to investigate; the product's “human reviewed” label is insufficient evidence on its own.

  1. Capture the deployed path

    Record the enabled extraction and assessment features, input categories, configuration version, and outputs visible to the officer. Check whether a threshold also rejects an application or prevents it from reaching review.

  2. Test the human contribution

    Walk through representative, appropriately protected cases. Establish whether officers inspect source evidence, can question the recommendation, and actually exercise their authority. Retain the assessment and its limits without treating a small sample as proof of every decision.

  3. Map the approved category

    Have the privacy owner assess the workflow and distinguish any solely automated outcome from supported decisions. Link the approved category and information types to the relevant policy wording and effective date.

  4. Reopen the assessment after a change

    If a supplier enables automatic refusal, adds a new information source, or changes how recommendations reach staff, compare the new path with the approved record. Review the policy mapping before the change goes live.

The document layer should retain the evidence relationship, while the lending system remains responsible for its decision process. FormKiQ's Financial Application Management Business Solution can organise application and agreement files; connecting an external scoring service and capturing its configuration history require an integration design.

Make supplier changes reach the privacy owner

The APP 1 Guidelines explain that using a third-party program can leave the arranging entity responsible for transparency. Ask suppliers about enabled functions, input categories, decision outputs, configuration controls, and change notifications. Retain dated answers and resolve gaps with the accountable owner.

Before procurement or activation

Obtain a description of the proposed decision path and information flows. Compare contracted features with what will actually be enabled, and assign responsibility for maintaining the record.

During operation

Route material feature, rule, model, and data-source changes to the system and privacy owners. Use periodic owner attestations to catch configuration drift and retire obsolete policy mappings.

For government agencies, check related disclosure duties separately. The OAIC's supplementary government fact sheet (PDF) explains connections with the Information Publication Scheme and government AI transparency statements. One disclosure should not be assumed to satisfy the others.

Run a readiness check before December 10

  • Confirm APP-entity applicability and assign a privacy owner for scope decisions.
  • Prioritise workflows that can significantly affect individuals, including rule-based and supplier systems.
  • Separate solely automated outcomes from substantial decision support, with evidence of the actual human role.
  • Trace the information categories and deployed configuration behind each approved policy clause.
  • Test whether a material supplier or internal configuration change reaches the responsible owners.
  • Approve and publish the required policy update, retaining the effective version and supporting assessment.

Keep the disclosure connected to the deployed workflow

An accurate privacy policy depends on knowing how decisions are made. Build the inventory around real outcomes, connect its assessments to approved wording, and maintain that connection as systems change. Transparency work also sits alongside the organisation's other privacy and decision-making obligations; the policy update does not establish that the underlying processing is lawful.

Regulatory guidance reviewed: November 12, 2026, against the OAIC's September 30 resources. Confirm applicability and final policy wording with Australian privacy counsel.

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