IntactGPT

Confidence, clarity, and consistency—without compromising professional judgment.
IntactGPT supports auditors throughout preparation, execution, and reporting by understanding audit language, standards context, and the realities of regulated audit work.

Auditors use IntactGPT to:

• Prepare for audits more completely with fast reviews of past issues, non-conformities and documents.
• Draft and refine audit content faster, turning unstructured notes, recordings, and observations into clear, standards-aware narratives.
• Improve report quality and consistency across scopes, objectives, methodologies, and findings—without losing individual auditor voice.
• Reduce rework before review, using AI-assisted pre-checks to surface clarity gaps, inconsistencies, or missing context.
• Stay in control at all times, with outputs that are explainable, reviewable, and always editable.

IntactGPT doesn’t replace auditor expertise—it amplifies it, freeing auditors to focus on professional judgment, risk assessment, and client engagement rather than repetitive writing and formatting tasks.

Fewer rewrites. Faster reviews. Higher-quality outcomes.
IntactGPT helps reviewers engage with clearer, more consistent audit documentation—reducing friction while preserving independence and rigor.

For reviewers, this means:

• Cleaner first-pass submissions, with improved structure, terminology, and alignment to certification requirements.
• Reduced review cycles, as common clarity and consistency issues are addressed earlier in the audit process.
• Greater focus on substance over syntax, allowing reviewers to spend more time assessing risk, evidence, and conclusions.
• A shared audit language, improving collaboration between auditors and reviewers across teams and regions.

Reviewer-focused capabilities will expand in later phases, building on auditor use cases while respecting role separation and governance requirements.

AI adoption—without losing control.
IntactGPT is designed to support governance-led AI adoption, with the ability for Certification Bodies to define how AI use aligns with accreditation requirements, internal policies, and regulatory expectations.

Where implemented under Certification Body governance, organizations can retain control over:

• User access and provisioning, defining who can use IntactGPT and for which purposes.
• Data boundaries and sovereignty, with each customer instance fully siloed and customer data never shared or reused.
• Usage policies and oversight, ensuring AI supports audit quality without undermining independence or accountability.
• Compliance and assurance, with transparent, explainable outputs designed to stand up to scrutiny.

This governance-first model ensures IntactGPT strengthens trust in the audit process—rather than introducing risk—by embedding AI within existing certification frameworks, not outside them.