APRA workflow readiness lab

See what a governed AI handoff looks like in practice.

Choose a business workflow. EcoKure checks the evidence around the system’s proposed output, sends uncertainty to a named person and produces a receipt that can be checked later.

Synthetic demonstration only. EcoKure does not approve credit, determine suspicion, identify people or provide APRA certification.

01 · Choose a workflow

Start with the user outcome.

These examples show where a Control Pack sits around an existing system. They do not replace the customer’s regulated decision-maker.

YOUR SYSTEMAI recommendation or case action
ECOKUREControl Pack checks evidence
DECISIONALLOW · REVIEW · ABSTAIN
PROOFSigned EvidencePack
02 · What the buyer gets

One control path. Four useful outputs.

  • Named owner and reviewer route
  • Versioned policy and source lineage
  • Deterministic verdict with reason
  • Evidence receipt for later review
Customer boundary

Human decision remains with you.

EcoKure does not determine suspicion, file a report or replace an MLRO/compliance decision.

Customer-owned policyHuman reviewNo actuation
03 · Run and measure

Make the control path observable.

Run 50–5,000 synthetic transactions locally. The result is a capability measurement—not a production SLO or regulatory claim.

Ready
04 · APRA to evidence

Keep the mapping practical.

Prudential concernEcoKure controlEvidence a customer can review
OwnershipNamed control owner and reviewerApproval and review record
Operational resilienceFail-closed behaviour and recovery testRecovery EvidencePack
Change managementVersioned Control Pack and impact analysisAffected-decision report
SecurityTenant boundary, IAM and key custodyAccess and signing evidence
AuditabilitySigned per-decision recordIndependently verifiable chain

This is an implementation map, not legal advice, certification or a statement that EcoKure makes an entity APRA-compliant.

Measured target-environment baseline

Compare local capability with the AWS proof.

The AWS run is a separate target-environment measurement. It is not production customer validation or an AWS endorsement.

117,290completed verifications
19.47 msp95 latency · 2,000-request run
128.1verifications/sec soak
$15.15modelled cost per million
TARGET-ENVIRONMENT MEASUREDECC P-256 KMS signing · RDS PostgreSQL · recovery chain verified
Cost model explorer

Translate the signal into a workload conversation.

This is a planning model using the published target-environment signal. It excludes customer-specific infrastructure, support, tax and pricing arrangements.

$1.52modelled cost for 100,000 transactionsAt $0.00001515 per transaction
Inspect the evidence register Download report JSON

Ready to test one real workflow?

Bring one owner, one bounded workflow and one acceptance question. The pilot determines what should proceed.

Discuss a bounded pilot
Next · See it work AI Control Tower