Your auditor is going to ask
about AI. Be ready.
Collect evidence from your existing tools, assess framework readiness, and build a traceable governance record for internal and auditor-led review.
The challenge
Can you answer these questions today?
These are not hypothetical. They are what auditors, regulators, and enterprise customers are asking right now.
Your finance team is pasting customer data into AI right now. Do you know where that data goes — or whether it is training the model?
Your AI provider says data stays in your region. Under the CLOUD Act, a US-headquartered provider can be compelled to hand it over regardless.
Your employees are signing up for AI tools on personal accounts. No SSO. No DPA. No visibility. You have no record it is happening.
Your enterprise customer is asking about AI governance. Right now, most teams answer with a PDF and hope nobody checks.
Your auditor will ask which AI tools your employees use and where that data goes. Can you answer that today — with evidence?
Your board wants a structured AI risk report. You have policies. You do not have evidence they are being followed.
How it works
From evidence to independent review
Build a traceable evidence record, act on the gaps, and bring in independent review when needed.
Collect your evidence
Nitivai is available through guided onboarding. Bring together signals from supported connectors, documents, registers, and manual submissions.
- Supported tool connectors
- Document evidence
- Structured registers
- Manual submissions
Understand and close gaps
Review what is met, what is missing, and which actions will improve readiness against the framework you selected.
- Requirement-level results
- Prioritised remediation
- Assigned owners
- Progress reporting
Work with an independent auditor
When external assurance is required, a qualified auditor can review the evidence and raise findings in a separate workspace.
- Direct evidence review
- Control-level findings
- Recorded decisions
- Traceable outcome
Independent audit
Independent auditors. Rigorous process.
Bring independent review into the same evidence workflow when external assurance is required. Engagements depend on agreed scope and qualified auditor availability.
Independent review
Auditors are external to Nitivai and independent from your organisation. They access your evidence pack directly -- no intermediary, no curated summaries, no selective disclosure.
Control-level review
You see the evidence presented for each requirement and the findings recorded by the auditor, without relying on unstructured email.
Verified practitioners
Practitioner qualifications, independence, relevant experience, and availability are confirmed before an engagement is assigned.
See the workflow
Explore Nitivai with your own requirements
A tailored demonstration can cover your evidence sources, framework views, remediation workflow, reports, and auditor collaboration.
What's included
Everything you need for AI governance
Multi-source evidence
Combine supported connectors, documents, registers, and manual submissions with clear provenance.
Requirement-level assessment
Each selected framework requirement shows exactly what was found and why.
Remediation guidance
Specific steps to fix each gap, ordered by impact on your score.
Board-ready reports
PDF reports for your board, your auditor, or your enterprise customers.
Framework readiness reporting
Review results against the requirements and evidence path of the selected framework.
Auditor portal
Qualified external auditors can review evidence through a separate workspace when an engagement is agreed.
ISO 42001 readiness reporting is now live
ISO 42001 uses a dedicated clause-based readiness workflow. Evidence paths, reporting scope, and any auditor-led engagement are confirmed during guided onboarding for your organisation.
The platform
Built for the teams responsible for AI governance
Give security, compliance, risk, AI owners, and auditors a shared view of evidence, readiness, and the work required to improve it.
See your AI governance posture at a glance
A single dashboard shows your readiness score, domain-by-domain breakdown, governance trends, and the controls that need attention.
Fix what matters, in the right order
Every failing control comes with step-by-step remediation guidance: who should fix it, how long it takes, and exactly what changes when they do. Assign owners, track progress, close gaps.
Bring evidence together from multiple sources
Connectors collect technical signals from supported tools. The rules-based document engine evaluates uploaded policies, while registers and manual submissions capture evidence that cannot be collected automatically.
Know where your AI data goes
Map which AI tools run in which regions, flag tools operating outside your approved data processing regions, and track cross-border data flows. Region-level visibility your auditor will ask for.
Evaluate AI tools by what matters, not by tier labels
NIVAI-AGF evaluates every AI session against four observable governance properties: training opt-out, bounded retention, identity attribution, and administrative visibility. A tool is governed when all four are demonstrable, regardless of its commercial label.
Integrations
Evidence connectors for the tools you already use.
Connect the tools your organisation already uses. Connectors collect technical signals where a supported integration is configured. Documents, registers, and manual submissions complete the evidence record.
NIVAI-AGF Standard
116 controls across 18 domains
A comprehensive AI governance standard purpose-built for organisations that develop or use AI. Evidence can come from supported connectors, uploaded policies, structured registers, and manual submissions maintained inside Nitivai.
Framework readiness
Framework-specific readiness in one workspace.
Choose the framework that fits your obligations, then review its requirements, evidence, gaps, and progress in one place. Available workflows are confirmed during onboarding. NIVAI-AGF is an in-house peer framework, not an accredited standard.
NIVAI-AGF
In-house AI governance framework
Readiness available
ISO 42001
AI management system
Readiness available
SOC 2 Type II
AI controls subset
Discuss requirementsISO 27001
AI security controls
Discuss requirements
NIST AI RMF
Risk management framework
Discuss requirements
EU AI Act
Regulatory readiness
Readiness available
SA AI Act
South African AI regulation
In roadmapFor auditors
Join the founding auditor network
We are establishing a founding cohort of independent practitioners for auditor-led AI governance engagements. We welcome auditors from all disciplines -- information security, compliance, risk, data protection, and technology audit.
Founding auditors are independent practitioners, not employees of Nitivai. You conduct external audits through the Nitivai Auditor Portal and bring your own professional judgement to every engagement. Assignment depends on agreed scope, independence, relevant qualifications, and availability.
Engagement terms and availability are confirmed before an assignment is made.
Apply as a founding auditorDedicated auditor platform
The Nitivai Auditor Portal gives you direct access to evidence packs, structured control review, and a finding workflow. No shared login with the organisation being audited.
Structured evidence, not raw data
Evidence is pre-collected and organised by control. You review what the platform found, raise findings where evidence is missing or insufficient, and record your verdict per control.
Shape the process
Founding auditors provide feedback that shapes how AI governance audits work. Your input influences how the standard is applied in practice.
Request a demo
See Nitivai in action
We will walk you through a 30-minute demo of the platform, tailored to your frameworks of interest. No sales pitch. Just the product.
Live assessment walkthrough
See how evidence is collected from your tools and turned into control results.
ISO 42001 readiness report
See how a clause-based readiness report brings together evidence from the sources in scope.
Auditor portal demo
See what your external auditor will see when reviewing your evidence pack.
AI governance you can prove.
Bring together technical signals, documents, registers, and manual evidence, then review your readiness against the framework in scope.
niti (Sanskrit) — moral order·vai (Portuguese) — it goes forward
Supports framework-specific assessment workflows, including the in-house NIVAI-AGF framework published at nivai.org.