Platform / DCLA
DCLAThe governing rules changed. What does that affect?
DCLA tracks changes to regulations, policies, controls and operating requirements, then identifies the systems, decisions, evidence and previous approvals that may need reassessment. Affected work is held rather than allowed to continue on a superseded rule.
Deterministic Control Lineage Architecture · AU provisional 2026907053
What it returns
Categorical, not probabilistic. Where a lane cannot decide, it says so explicitly rather than returning a low-confidence answer that reads like a decision.
What it does
- Represents an obligation as a machine-readable control rather than a document.
- Detects when that control changes, and what specifically changed in it.
- Traverses the lineage graph to find dependent systems, decisions and approvals.
- Places affected work on hold and reruns only the lanes that apply.
What it does not do
- It does not interpret regulation. A person still decides what the rule means.
- It does not replace a GRC platform, a control register or an obligations library.
- It does not provide legal advice or a compliance opinion.
The questions this layer gets asked in procurement
| Concern | Why it decides the deployment |
|---|---|
| Control ingestion | How obligations enter the system, and who maintains them. |
| Lineage completeness | An incomplete graph produces confident wrong answers. |
| Hold semantics | What a hold means operationally, and who can release it. |
| Audit trail | Whether the record satisfies the function that will rely on it. |
What runs inside DCLA
Each of these is a real implementation with code behind it. Status is labelled honestly, and nothing is listed as coming soon.
EU AI Act Profile
Open sourceAn application profile mapping deterministic lanes and evidence onto specific EU AI Act articles.
DTL Taxonomy
Open sourceThe open claim taxonomy and verdict schema. The vocabulary controls and evidence are expressed in.
ProvenanceGate
Open sourceProvenance continuity checks for scientific AI artefacts. Detects a broken chain between an artefact and its source.
See it against your own workflow
A pilot runs in shadow mode. It controls no production decision, and the acceptance criteria are agreed before it starts.