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The ControlFrame platform

Intelligence for the work.
Confidence in the outcome.

Connect audit evidence, governed AI workflows and human expertise. One platform for the work behind a defensible compliance decision.

The work, connected

From a requirement
to a reviewable record.

Choose a framework. See how source evidence, agent preparation and expert judgment fit together.

Healthcare enrollment

CMS EDE

The enrollment experience. With evidence behind it.

01 Frame the requirement

Consent & consumer privacy

Follow a defined enrollment journey and bring the supporting evidence into one review.

SourceApproved test environment
02 Give agents the groundwork

Purposeful AI.
A defined scope.

  1. 1Follow the approved UI playbook
  2. 2Capture the relevant screens
  3. 3Prepare requirement-to-evidence mappings
03 Bring the proof to review
Enrollment journey captureScreenshots · journey steps · source context
Source-linked record

Expertise makes
the final call.

A reviewer can trace the journey, examine the evidence and record a decision.

Illustrative workflow with synthetic reference records. A configured walkthrough uses your approved scope, available integrations and authorized reviewers.

Showing the CMS EDE workflow example.

Evidence collection

Start with the source.

Define what a control needs to prove before collecting an artifact. Source documents, screenshots and structured system records belong to an evidence request with a clear scope, owner and assessment period.

  • Specify the source, collection method, sensitivity and freshness window.
  • Use supported adapters and private runners within an explicitly authorized environment.
  • Keep the original artifact, version and capture context together. Adapter availability and credentials are confirmed during onboarding.

Governed AI workflows

Give AI a job. Keep people in charge.

An agent should work against a defined objective and a declared method. ControlFrame separates preparation and analysis from the authority to accept evidence or release a conclusion.

  • Compose reviewable collection and analysis steps with explicit dependencies.
  • Inspect proposed mappings and findings alongside their supporting source.
  • Route incomplete work and exceptions to the right person. Runtime and model access are activated for the approved deployment.

Evidence management

A connected record, beyond a folder.

A document alone cannot explain which control it supports, whether it is current or who reviewed it. ControlFrame connects the artifact to those decisions without losing its original context.

  • Preserve source identifiers, checksums, versions and custody history.
  • Propose evidence reuse across relevant controls while retaining a separate sufficiency decision for each use.
  • Organize requests, artifacts, gaps and ownership in a shared engagement record.

Control testing & human review

Expert judgment, with the context it needs.

Make the review process inspectable. A reviewer can examine the requirement, source evidence, proposed result and exceptions before recording a decision.

  • Keep preparer and reviewer responsibilities distinct.
  • Record acceptance, rejection and requests for further evidence with reasons.
  • Track framework editions and proposed changes. Monitoring availability is configured separately; new requirements are never silently adopted.

Audit package delivery

The proof travels with the work.

Assemble a package from reviewed evidence and preserve the connection to its source and approval history. Give recipients a record they can interrogate, not just a status they must trust.

  • Keep evidence, findings, workpapers and named decisions together.
  • Use governed release and recipient access for the approved engagement.
  • Eligible signed packages can be checked independently; signature trust depends on the supplied signing identity and deployment configuration.

Enterprise by design

Fit the way your organization works.

Tenant boundaries, source permissions, private execution and human release authority are part of the operating model. Start with an admitted pilot, a supported source and a clear success measure.

Measure collection effort, reviewer touches and rework against your baseline. Expand only when the evidence demonstrates value.

Explore the architecture

Your next step

Put your use case in the frame.

Let’s work through a real requirement, the evidence it needs and where automation can help.

Request a walkthrough
Agentic Audit & Evidence Automation Platform | ControlFrame