Input provenance
Record the material source, document or data set that entered the AI-assisted step and preserve enough context to identify it later.
Evidence-led · Remote-first · Jurisdiction-neutral core
AI decision traceability evidence
Traceability is not a screenshot of a chatbot. It is an evidence chain that can connect a material AI-assisted outcome to the records needed to reconstruct how it was produced and adopted.
Control model
What Tracewarden tests
The assessment is scoped to evidence, governance and operational control. It does not convert a jurisdiction-neutral review into an unsupported claim of local legal compliance.
System and version
Identify the tool, relevant configuration or version information, connected data sources and material changes when available.
Output and transformation
Preserve the output that materially influenced the process and any transformations before it reached the decision-maker.
Human review
Record who reviewed the output, what evidence was available, what was challenged or corrected and what authority the reviewer had.
Exceptions and overrides
Keep the evidence of rejected outputs, escalations, overrides and manual paths because they often explain the real control environment.
Final accountable action
Link the AI-assisted step to the decision or action ultimately adopted by an identifiable responsible person or function.
Evidence before assertion
The practical test is reconstructibility.
A control is stronger when the organisation can show what happened from records: the relevant system, source material, AI-assisted output, human intervention, exception path and final accountable action. Tracewarden separates fact, inference, limitation and remediation so findings remain tied to the evidence actually reviewed.
Published researchTraceability, human validation and defensible AI use in legal work.Review publication →
Founder accountabilityNamed professional responsibility rather than anonymous assurance language.Founder profile →
Observed failuresDocumented cases translated into governance lessons.Open Observatory →
Assessment boundaryLocal-law conclusions are escalated instead of guessed.Review boundary →
Related assessment paths
Continue through the evidence chain
Next step
Start with one material workflow, not a generic AI inventory.
Tracewarden can scope a focused assessment around a decision path, control question or vendor dependency and define the evidence needed before the review begins.