Intact AI
One AI Productivity Workspace Across the Audit and Certification Workflow.
A governed AI workspace fully integrated into the Intact Platform, with specialized agents that execute real audit and certification tasks—turning audit context into consistent, high-quality outputs.
Your productivity layer across the audit workflow:
- Audit preparation
- Audit execution
- Audit review
- Audit scheduling
Beta Group Feedback
What Intact AI Is
Fully integrated into the Intact Platform and designed to work directly from your audit data.
Intact AI is a governed AI workspace with specialized agents that execute real audit and certification tasks — not just answer questions. It sits alongside the Intact Platform as a productivity layer that turns audit context into high-quality outputs, faster.
Why Intact AI
Audit and certification work is context-heavy and documentation-heavy. The bottleneck is rarely expertise—it’s the manual assembly, cross-checking, and rewriting across preparation, execution, and review.
Delivering that requires deep workflow context. Intact is uniquely positioned to build Intact AI because we operate at the center of the certification ecosystem. For more than 25 years, we have supported CBs globally and worked with large volumes of highly contextual audit data and metadata within the Intact Platform. This context is not public, and it’s handled responsibly and securely. It enables Intact AI to understand audit language, structure, and intent in ways generic AI tools cannot.
Built as a fully integrated productivity layer within the Intact Platform, Intact AI grows with your organization. It starts where the impact is immediate, in audit preparation, and expands across execution and review as additional workflow capabilities evolve.
Why Intact AI is Different
- Domain Specificity: Understands audit and certification terminology, standards, and compliance logic out of the box.
- Customer Specificity: Adapts to your templates, tone, and quality bar — so outputs match how your organization works.
- Security & Governance: Isolated per-customer environments. No cross-customer data sharing. No model training on your data.
- Platform Depth: Enabled by the rich contextual data of the Intact Platform, including findings history, audit metadata, and client information.
- Accuracy: Delivers highly accurate, context-aware outputs. Early testing indicates accuracy levels of 95%, depending on use case.
- Controlled Outputs: Designed to operate within defined audit context and structured Platform data, reducing the risk of generic or fabricated responses.
Across the Audit Process
Intact AI supports the certification workflow end-to-end. We start where the impact is immediate and adoption is easiest: audit preparation.
Spend less time preparing and more time auditing.
Intact AI reduces the manual effort required before an audit by automatically scanning client documentation, prior findings, scope details, and relevant data to identify what matters most. Instead of assembling information manually, auditors receive a structured preparation brief in minutes.
- Assemble client context, prior findings, scope, and risk areas
- Identify priority focus areas based on historical data and documentation
- Draft an audit schedule and customer-ready preparation message
- Reduce manual prep work and improve consistency across auditors
Time-savings focus: Early testing indicates preparation effort can shift from hours to minutes.
“Preparation used to take a significant amount of time pulling together prior findings, scope details, and documents. With Intact AI, I combine uploaded material with historic data from the Intact Platform and receive a structured brief that clearly shows the risks and focus areas.”
Make documentation lighter during execution.
Intact AI changes how auditors work during execution. After uploading notes and supporting material, the system structures observations against relevant clauses and requirements, supports the framing of conformities and non-conformities, and provides guidance to strengthen clarity and consistency. Built-in verification helps surface inconsistencies before the report is finalized, reducing unnecessary back-and-forth later in the process.
Auditors remain fully in control. Intact AI guides and suggests, but professional judgement stays with the auditor. By reducing the time spent on structuring, rewriting, and formatting, auditors can focus more on evaluation, evidence, and client engagement.
- Structure notes and map them to clauses and requirements
- Flag gaps and inconsistencies after upload, before report finalization
- Generate report content based on organizational templates
- Maintain consistent language and terminology
- Translate content to support multilingual audits
Time-savings focus: Reduce cross-checking and rework during report creation.
“After the audit, I upload my notes and supporting material, and Intact AI structures everything against the relevant clauses. It brings consistency to the language and even helps with translation, so I’m not rewriting large sections before submitting the report.”
Reduce rework and shorten review cycles.
Intact AI supports audit review by generating clearer, more consistent draft reports and enabling pre-review simulations before formal review begins. By improving draft quality upfront, review teams can work from revision-ready outputs instead of returning reports for extensive rewrites.
- Run pre-review simulations before formal review
- Improve clarity and consistency in report drafts
- Create revision-ready outputs that support reviewer efficiency
Time-savings focus: Fewer rewrites, faster completion, and improved service responsiveness.
“Too often, reports come back for revision because clarity or consistency isn’t where it needs to be. Running a pre-review simulation before formal review improves draft quality upfront, which reduces rework and shortens the overall review cycle.”
Agents at Work
- Audit preparation
- Audit execution
- Audit review
- Audit scheduling
Use Case Examples
Upload unstructured audit notes (voice recordings, meeting notes) and convert them into structured notes and draft report content
Generate an audit preparation brief for next week’s audit (findings history, risks, scope, documents to review)
Pre-review: simulate the reviewer perspective to catch issues before formal review
Speed up writing-heavy management system audits by structuring notes and drafting consistent narrative sections
Improve text-heavy sections such as audit scope, objectives, methodology, and closing meeting summaries
AI in a Box – Security & Trust
Intact AI is built for regulated environments.
Each customer instance is isolated and secure. Your data is not shared across customers and is not used to train models for other organizations. This keeps governance clear, data sovereignty intact, and adoption safe for certification use.
Designed to Work Best with the Intact Platform
Intact AI is positioned as a productivity layer that enhances the Intact Platform. The richest results come when Intact AI can leverage structured platform context (findings, audit metadata, client data). Future iterations will expand capabilities and integrations across the wider certification ecosystem—while keeping the auditor in one workspace.
Intact AI & the TIC industry
The TIC Council’s Quality Infrastructure Framework for the Digitalised World outlines both the opportunities and the risks of adopting AI and digital technologies in conformity assessment. It reinforces the importance of human oversight, accountability, traceability, and responsible automation.
Intact AI was built for and with the TIC industry in mind— developed in close collaboration with certification bodies to address the real workflow pressures they face. The following points illustrate how Intact AI responds to the priorities and concerns discussed in the whitepaper.
How Intact AI addresses this:
Certification decisions remain within the certification body’s established processes. Intact AI executes defined audit and certification tasks — such as structuring documentation, mapping notes to clauses, generating preparation briefs, and running pre-review simulations.
How Intact AI addresses this:
Intact AI focuses on documentation-heavy, repeatable workflow stages—preparation, drafting, structuring, and review support. It improves efficiency and consistency without automating final certification outcomes.
How Intact AI addresses this:
Each Intact AI instance operates in an isolated per-customer environment. Customer data is not shared across organisations and is not used to train models for other customers.
How Intact AI addresses this:
Intact AI operates as a governed workspace alongside the Intact Platform, using structured audit context—including findings history, scope, and audit metadata—to generate outputs. It enhances consistency and clarity while remaining embedded within the certification body’s workflow.
How Intact AI addresses this:
Intact AI is described as a governed AI workspace with specialized agents that execute real audit and certification tasks—not just generate generic text. It is built specifically for audit and certification workflows.
Save time. Improve consistency. Reduce review rework.
Request early access to Intact AI
Learn how Intact AI supports audit preparation, reporting, and review—without compromising control or compliance.
Fill out the form, and we’ll be in touch.
Learn how Intact AI supports audit preparation, reporting, and review—without compromising control or compliance.
Fill out the form, and we’ll be in touch.