AI And Operations
Governance And Compliance
How TrialStack supports regulated change control through versioning, approvals, auditability, and restricted deletion behavior.
Governance And Compliance
Governance is a product surface in TrialStack, not a hidden implementation detail.
Teams should be able to understand the rules of change before they discover them in a sensitive workflow.
Who this is for
Use this page if your work depends on controlled change, review traceability, or accountable recovery paths.
Major topics this page covers
- version history
- restore and compare workflows
- soft delete and undelete behavior
- approval records and approval history
- audit visibility
- review requirements for sensitive or AI-assisted changes
Why governance appears across the product
TrialStack does not isolate governance into one administrative corner. It appears wherever teams create, change, approve, restore, or remove important records.
That is why governance appears in product language across the platform:
- why version history exists
- why some delete actions are restricted or reversible
- why approvals are separate from ordinary editing
- why AI-assisted workflows still require human review
History, compare, and restore
Version history is an operational capability, not just an audit feature.
Teams use it to:
- understand what changed and when
- compare competing versions before making a decision
- restore an earlier state when rollback is safer than editing forward
- support review and approval conversations with evidence instead of memory
Soft delete and controlled recovery
Deletion behavior is designed to preserve accountability.
The important message is not just that records can be deleted. It is that the product distinguishes between:
- removing something from active working views
- preserving recovery options and traceability
- restricting destructive behavior when the workflow is governance-sensitive
Approvals and review boundaries
Approvals are not the same thing as ordinary edits. Teams need to understand when a workflow crosses from drafting into formal review.
That includes clarifying:
- when approval state is its own governed record
- how approval history supports later audit or dispute resolution
- why restoring or revisiting a version may be safer than editing silently
Governance in AI-assisted work
AI-assisted workflows do not sit outside governance. In many teams, they need more explicit review language, not less.
Teams should work with these assumptions:
- generated output still needs accountable human review
- workflow history helps explain how a result was produced and adopted
- a successful run does not equal an approved change
- governance-sensitive teams should preserve reasoning and review signals around AI-assisted output
What teams should decide before making a sensitive change
- whether a normal update is enough
- whether history or compare should be reviewed first
- whether a restore is safer than editing forward
- whether approval state must be updated separately
- whether reviewer involvement should increase because the change is sensitive, regulated, or AI-assisted
Common customer misunderstandings to prevent
- governance is not only for administrators or auditors
- history and compare are day-to-day operational tools
- delete and undelete behavior is intentional, not arbitrary friction
- review expectations become more important, not less, when automation or AI is involved
High-priority follow-up guides
- document approval workflows
- reviewing action outputs
- evidence pack version governance
- trial workflow audit expectations
API reference
Use TrialStack API reference for exact history, compare, restore, delete, undelete, approval, and audit-related contract details where those flows are exposed via API.