Evidence JSON upload
Import evidence without building an API integration. Manual upload submits existing automation-generated evidence; it does not capture a journey.
Product features · Pre-launch
ConsentTrace ingests web evidence from third-party consent automation frameworks, evaluates consent behaviour and generates traceable reports.
Feature catalogue
This describes the product workflow. Public launch and pilot availability are separate; supported features, regional profiles and integrations are confirmed before access.
Import evidence without building an API integration. Manual upload submits existing automation-generated evidence; it does not capture a journey.
Connect a supported evidence collector using the agreed schema and a scoped API connection. Automation currently produces the evidence; API submission is optional when JSON upload suits your workflow.
Check payload structure and submission context. Missing optional artifacts can reduce assurance quality while leaving structured observations evaluable; evidence limitations remain visible.
Assess cookies, requests and other captured activity against consent observations, policy rules and approved technology classifications. Keep rule failures distinct from items that require review.
Use an organisation-wide approved classification library for cookies, scripts and request patterns. Match dynamic cookie names with supported wildcards and review unknown activity before approving a classification.
Investigate observed technology activity and record category, purpose and regional-treatment decisions. Suggestions and collector metadata do not automatically become approved classifications.
Assign review work, record decisions and retain the context needed by privacy, QA and engineering teams. Roles and permissions are confirmed for the pilot scope.
Track findings through investigation and remediation. Keep status changes and the evidence supporting verification in the review record.
Review later evidence for comparable property, environment, region, journey and consent-selection scope. Evaluable partial evidence can support verification; unable-to-evaluate evidence cannot prove a fix.
Apply the configured policy profile to the observed evidence. Regional findings explain the evaluated rule scope without implying that every legal obligation has been checked.
Review findings and evidence references in regional reports and supported exports. Formats, integration options and report scope are confirmed before activation.
Follow the relationship between collected evidence, evaluations, findings and review decisions. Changes to classifications do not rewrite the originally captured evidence.
Future direction
These are future capabilities. They are not currently offered as collection or testing options, and release dates and access terms have not been announced.
Extend consent evidence evaluation and reporting to mobile applications alongside the current web workflow.
Build an internal AI agentic testing capability within ConsentTrace that customers can configure to carry out their consent testing journeys.
Capture data while you complete a journey manually, then generate an evidence JSON file. Download it or send it directly to ConsentTrace for evaluation.
Make evidence actionable