The ConsentTrace platform

The independent assurance layer after your automation.

Submit evidence from external web or mobile automation. ConsentTrace validates it, evaluates consent behaviour, compares observed technologies with your inventory and creates reviewable regional outcomes.

Clear separation by design

Your automation decides whether the technical journey passed. ConsentTrace records whether the evidence is complete and whether the observed consent behaviour needs attention.

Platform architecture

Framework-independent in. Structured assurance out.

The evidence producer and result consumer remain external to ConsentTrace.

Evidence producers

Playwright, Selenium, Cypress, Appium, Maestro or custom automation.

ConsentTrace assurance

Validate → normalise → evaluate → compare inventory → create findings → review.

Results and reports

API, signed webhook, JSON, CSV, PDF or HolisticQA.

Automation resultPassed
Evidence statusComplete
ConsentTrace evaluationAttention required
Regional reportGenerated

Platform workflow

Every outcome remains connected to its source evidence.

Evidence ingestion

Receive evidence through manual JSON, batch packages, temporary file integrations or a REST API.

  • Canonical, versioned evidence schema
  • Payload and duplicate validation
  • Web, iOS and Android digital properties

Evaluation

Normalise submitted evidence and apply region-aware evaluation policies without changing the automation result.

  • Consent-state behaviour evaluation
  • Evidence completeness checks
  • Versioned policy profiles

Findings and review

Turn observations into structured findings with evidence references and accountable decisions.

  • Confirmed findings and potential issues
  • Scoped muting and accepted decisions
  • Automatic reopening when behaviour changes

Inventory governance

Compare observed cookies and technologies with the customer’s declared inventory.

  • Unknown technology detection
  • Declared versus suggested category
  • Classification review history

Reports and results

Package assurance outcomes for people and downstream systems.

  • Regional PDF assurance reports
  • Result JSON and CSV findings
  • Results API, signed webhooks and HolisticQA

Audit history

Maintain the relationship between evidence, policy versions, findings, reviews and outputs.

  • Run-linked findings
  • Decision history
  • Evidence retention controls in development

Application view

Evidence runs keep technical results and assurance outcomes separate.

Demonstration data

Evidence Runs

Storefront assurance workspace

Export result
42Evidence runs
3Confirmed rule failures
7Potential classification issues
4Unknown technologies
Digital propertyRegionAutomationEvaluation
Storefront · WebUKPassedAttention
Account · iOSEUPassedClear
Shop · AndroidUS-CAFailedEvaluated
Available

Manual ingestion model

Evidence can be evaluated before a permanent API integration is complete.

In development

Review workflows

Classification decisions, muting and audit history are actively being productised.

Enterprise roadmap

Private deployment

Availability depends on technical discovery and commercial agreement.

Make evidence actionable

Add independent assurance to the automation you already trust.