Scope and requirements
Systems, legal entities, applicability, and owners are pinned before assessment.
END-TO-END AUDIT · EVIDENCE TO REPORT
Audit 2.0 brings scope, requirements, evidence, requests, findings, and documents into one secure process. Automation handles routine work while the auditor retains authority.
The completed cycle is ready to run again
END-TO-END PROCESS
Scope, methodology versions, and evidence versions are pinned. The server allows each transition only after authoritative readiness conditions pass.
Systems, legal entities, applicability, and owners are pinned before assessment.
Files, websites, conversations, and connected sources enter quarantine.
The auditor accepts, rejects, or requests changes with a complete decision history.
Coverage is calculated separately from quality, freshness, and AI confidence.
Every material conclusion links to a requirement, evidence, actor, and version.
Markdown, DOCX, and PDF are built from one canonical version and independently reviewed.
Result: a continuous provenance chain from the audit scope to the approved report package.
MATERIAL LIFECYCLE
Every material version passes explicit states and a human accepts its relationship to a requirement.
A file or message is isolated and checked before use.
A safe copy, extracted text, and provenance metadata are created.
The item is classified, normalized, and assigned a sensitivity level.
A precise source location is proposed for a specific requirement.
The auditor decides and records quality, freshness, and conflicts.
Version, decision, actor, time, and content hash remain immutable.
IN-PROCESS ASSISTANTS
Three assistants join sequentially and route the auditor to an existing authoritative workspace.
Finds missing applicability decisions, systems without owners, and incomplete scope.
Surfaces human review queues, unprocessed items, and requirements without evidence.
Connects coverage, open gaps, and data requests to preserve the next grounded action.
VERSION · INTEGRITY · APPROVAL
The canonical result is immutable. Documents are built deterministically and verified before download.
Canonical structured result for history and repeatable rendering.
Editable version for review in an established business process.
Handoff view with integrity and completeness checks.
Complete output set
✓Integrity verification
✓Independent AITALON approval
✓External delivery permission
✓Fast start with organization isolation and managed updates.
A separate environment for one company or holding.
Data and processing stay in the organization infrastructure.
Cloud control plane with sensitive processing at the customer.
ANSWERS WITHOUT SMALL PRINT
Audit 2.0 is a platform for preparing and repeatedly running audits. It links the plan, requirements, evidence versions, findings, and ready documents in one reviewable chain that can be restarted for the next assessment.
The platform is for auditors, compliance and information security teams, and process owners who need to repeat assessments, retain evidence, and update the document package efficiently.
An AI assistant helps create a plan from the selected template and requirements. The team then runs a repeatable audit, collects and reviews evidence, receives ready documents for verification, and confirms compliance; the saved cycle can be restarted at any time.
The customer receives a pinned audit result and a document package generated from one data version. Findings trace back to the requirement and exact evidence version, while decision history, approvals, and file integrity support independent verification.
The pilot starts with one repeatable audit type, a pinned scope and requirements, and a ready-made or custom template. The platform can run in the cloud, a dedicated or closed environment, or a hybrid setup; the selected deployment model is fixed before evidence is uploaded.
No. The platform automates collection, completeness checks, coverage calculation, and document preparation. Applicability, evidence acceptance, findings, and approval remain under human control.
Every percentage drills down to scope, requirement, state, and exact evidence versions. Quality, freshness, and AI confidence remain separate.
Yes, after scope, requirement version, and freshness checks. Previous acceptance is never inherited automatically.
Yes. Customer-hosted, dedicated, and hybrid options are supported. Original evidence and personal data are not sent to a cloud model.