Capture the bounded workflow, environment and desired outcome.
See one decision. Then see what survives change.
Start with the plain transaction example. Then open the Control Tower, change a rule or source, and inspect the evidence path. Everything below is synthetic or illustrative unless marked as a target-environment measurement.
“Show me this one transaction.”
Pick your industry, then drag one of its cases onto the board. Each one goes through two rules your side owns. Use the out-of-date list on purpose and watch it refuse to treat a stale result as safe.
Pick your industry
What this proves — and what it does not
It proves: the example evaluates against versioned rules and produces a signed record. It does not prove: that EcoKure is an AML system, decides suspicion, files anything, provides legal advice or certifies a casino’s compliance.
Control Tower: the operating picture
This view explains what a buyer sees after the decision is inside the control boundary: recent outcomes, named review, change impact and evidence.
Decision stream
What the tower is seeing
Review queue
High-impact recommendation · owner: Risk Operations
Incomplete provenance · owner: Clinical Quality
Change impact centre
Evidence register
Input digest · control pack v3.2 · verdict · reviewer state · timestamp
sha256: 4d7a…9c12Policy, control, decision and change lineage records
offline verifier compatibleWatch a source change become a governed outcome
A source revision changes. EcoKure separates affected, preserved and unknown work, replays what is deterministic and holds the rest for qualified review.
Create a customer boundary with explicit ownership and scope.
Issue a tenant-scoped key once and transfer it securely.
Agree the workflow owner, source and acceptance criteria.
Version your rules on where data came from, who reviews it and what evidence is needed.
Observe classifications without actuating a customer workflow.
Introduce one known revision to the reference source.
Separate the work the change touched, and re-run only that.
Hold uncertainty for a named qualified reviewer.
Verify the signed chain and record the next decision.
Test the pattern against a regulated workflow
Choose an example such as AML/CTF, KYC or safer-gambling controls. This lab measures the control-and-evidence pattern; it does not make a legal or regulated decision.
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Ready to test one real workflow?
Bring one owner, one bounded workflow and one evidence question.
