Control-evidence mapping
Control-evidence mapping is applied only to the information and workflow agreed with your team.
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Map approved control requirements to evidence from designated systems and owners, track freshness and gaps, and assemble review-ready packets without presenting the result as compliance certification.
Map approved control requirements to evidence from designated systems and owners, track freshness and gaps, and assemble review-ready packets without presenting the result as compliance certification.
Explore the Governance & Control family →Control-evidence mapping is applied only to the information and workflow agreed with your team.
Evidence freshness is applied only to the information and workflow agreed with your team.
Gap and ownership tracking is applied only to the information and workflow agreed with your team.
Review packets is applied only to the information and workflow agreed with your team.
Connect requirements, evidence, ownership, freshness, gaps, and review.
Helps your team spend more time on useful decisions and less time handling avoidable friction.
Helps your team spend more time on useful decisions and less time handling avoidable friction.
Helps your team spend more time on useful decisions and less time handling avoidable friction.
Helps your team spend more time on useful decisions and less time handling avoidable friction.
A simple, human-in-the-loop process built for trust.
Learn moreThe work stays inside the agreed scope and controls.
The work stays inside the agreed scope and controls.
A person checks uncertain or consequential results.
The work stays inside the agreed scope and controls.
Extract is built on Enterprise Trust. AI handles the repetition; people retain judgment.
Learn about Enterprise Trust →⊗Does not replace accountable people.Accountable review and approved operating rules remain in place.
⊗Does not exceed approved access.Accountable review and approved operating rules remain in place.
⊗Does not guarantee outcomes.Accountable review and approved operating rules remain in place.
Control works seamlessly within the broader family.
Explore the family →
Turn AI policy into operating controls.
Learn more →
Govern how AI assistants use sensitive tools.
Learn more →
Apply configured content rules with human review.
Learn more →
Let’s define your use case, agree on success measures,
and launch a focused pilot.
