Workflow records
Source, model, policy, reviewer, approval and action context retained by Evidence Fabric.
Evidence for accountable AI decisions.
CloudSeals helps teams retain reviewable context around AI-assisted work, including source information, policy context, human review, actions and outcomes. Illustrative examples on this site are clearly labelled and are distinct from customer results.
Evidence categories
Illustrative visuals
Mockups and sample data may explain workflows but are not customer proof.
Why evidence is the point
An AI-assisted decision that cannot be explained afterwards is a liability, whatever the quality of the answer. Evidence is what turns an action into something a reviewer, an auditor or a regulator can follow — months later, without the people who were there.
For internal review
A manager can see what was proposed, what context applied and who approved it.
For audit
An auditor can follow the chain from source data to final action.
For regulators
Records exist about how AI was used, on what basis and under whose authority.
Questions we get asked
What counts as evidence here?
Source context, model and agent details, purpose, policy and authority context, outcomes, approvals and overrides, downstream actions and final results.
Where is evidence recorded?
In Evidence Fabric, the shared evidence layer across CloudSeals applications.
Does keeping evidence make us compliant?
No. It gives a reviewer what they need to assess a decision. Whether that satisfies a particular obligation is judged by your auditors and regulators.
Is evidence written at the time or reconstructed later?
It is produced by the workflow as the work happens, rather than assembled afterwards.