AI Compliance Software for Controls and Evidence
AI compliance software that adapts to your AI system’s obligation level. The AI compliance software measures compliance progression you can show leadership, and the evidence and audit history build themselves as you work. Built for AI providers, deployers, importers, and GPAI providers under the EU AI Act.
What AI compliance software does
A platform that operationalizes the obligations imposed by AI regulations and standards. It is the working surface where compliance gets done, not a static policy library.
- Stores the obligations from EU AI Act, ISO/IEC 42001, NIST AI RMF, and emerging laws
- Attaches controls that implement each obligation
- Runs structured assessments that produce evidence
- Keeps an audit trail of every change, automatically
Unlike generic GRC tools, AI compliance software ships with the AI-specific regulatory content built in and scopes controls to AI-specific dimensions: risk classification, provider-versus-deployer role, and component-level granularity. AI Sigil is built around this concept: each AI system in your inventory carries the controls relevant to it, and nothing else.
Controls that show exactly what applies to your AI system
AI Sigil treats every control as a living object. The AI compliance software reshapes the guidance text, regulatory sources, and assessment questions around the AI system you are evaluating:
- High-risk provider. Full conformity stack, technical documentation, post-market monitoring, quality management
- Limited-risk deployer. Transparency obligations, oversight responsibilities, no conformity-assessment burden
- GPAI provider. Model-level duties laid out in Articles 53 and 55 of the EU AI Act
- Minimal-risk system. Screening-level content, no obligation pile-on
The control assessment matches your situation, not a generic worst-case template.
Track compliance progression in the AI compliance software
Every control has one of four statuses: not started, in progress, done, or rejected. The AI compliance software aggregates control statuses into a compliance progression metric at every level of your portfolio:
- Per control. The unit of work
- Per AI system. Across all activated frameworks on that system
- Per framework. Across all AI systems carrying that framework
- Portfolio-wide. Cross-framework, cross-system, single number for leadership
Filter the dashboard by status, framework, owner, risk level, or overdue date.
Progression, not a score. The aggregate is a status progression, not a weighted compliance score and not a pass/fail certification. It reflects actual assessment status, not whether a form was opened. When leadership asks “where are we”, the number is grounded in the same records the auditor will see.
Structured evidence and audit trail inside the AI compliance software
Foundational controls vs system controls
AI compliance software organizes controls in two layers inside AI Sigil, with two complementary roles. These controls also align with ISO/IEC 42001, the international AI management system standard. Both run in the same portfolio, with their own status, evidence, and audit trail.
Foundational controls
Organization-wide governance, independent of any specific AI system
Answer the question “is your organization set up to govern AI?”. Triggered by activating a framework on the company.
Examples
- AI literacy programs
- Governance committee charter
- Incident-response procedure
- AI usage policy
- Vendor due-diligence procedure
System controls
One AI system at a time, scoped by risk classification
Answer the question “is this particular AI system compliant with the framework it carries?”. Triggered by activating a framework on the AI system.
Examples
- Bias testing
- Accuracy and robustness monitoring
- Conformity assessment
- Data-governance procedures
- Post-market monitoring
- Automated logging
How AI Sigil compares to other AI compliance software
Most tools were not built around AI systems with regulatory obligations as first-class objects. The “AI compliance software” category covers several distinct profiles:
- Generic GRC suites. Mature on SOC 2 and ISO 27001, light on AI specifics
- AI-policy and risk-assessment specialists. Strong on policy and model assessment, light on controls portfolio plus audit trail
- Privacy-led platforms. Mature on privacy programs, light on AI-system-level conformity
- Document-and-checklist platforms. Strong on EU AI Act questionnaires, light on cross-framework multi-system scaling
- AI Sigil. Inventory-anchored controls, role-and-risk scoping, immutable audit trail, multi-framework activation
What to look for in AI compliance software
The AI compliance software you choose must scope obligations to your AI system’s role and risk class, not bundle a generic worst-case template. A high-risk provider, a limited-risk deployer, a GPAI provider, and a minimal-risk system each carry different duties, and your software has to surface only what applies.
It must produce immutable evidence, not editable forms. Auditors look for tamper-proof submissions and a complete answer history that ties every record back to a regulatory article. Editable evidence is not evidence.
And the AI compliance software has to make the audit trail a by-product of how your teams already work, not a separate task. Software that bolts logging on top of policy documents shifts the maintenance cost back to your team.
FAQs
What types of controls does AI Sigil include?
How are controls linked to regulations?
Every control traces back through a chain: control to requirement to framework instance to parent framework. The requirement identifies the regulatory theme (for example, “Risk Management”), and the control implements the specific obligation. The traceability is built in, not configured by the user.
How does content adapt inside a control?
Each control contains content blocks (guidance text, regulatory sources, assessment questions) tagged with risk tiers. When an AI system is classified, only blocks matching its tiers are visible. A minimal-risk system sees screening-level content. A high-risk system sees the full depth of guidance and assessment questions.
What counts as evidence in AI Sigil?
Evidence is any document, screenshot, test result, or file that demonstrates a control has been implemented. It is uploaded as an attachment and linked to the specific control it supports. The platform maintains the link so you can always trace which evidence supports which obligation.
Is the audit trail tamper-proof?
The AI compliance software stores form submissions as immutable snapshots: once submitted, they cannot be modified. Answer history records every change with the previous value, new value, timestamp, and who made the change. The application layer enforces append-only behavior for all compliance records.
Can multiple team members work on the same control assessment?
Yes. The AI compliance software stores answers per entity and per question, not per user session. Multiple team members can answer different questions on the same control. The audit trail records who answered each question and when.
How is compliance progression calculated?
Can I add custom controls?
The current control library is maintained by AI Sigil and derived from regulatory analysis. Custom-control authoring is on the roadmap. Evidence and assessment features work with any control in the library.
Can I track compliance progress across multiple frameworks?
Yes. Each framework activation tracks its own set of controls. The portfolio view aggregates completion across all active frameworks for an AI system, giving you both per-framework and cross-framework compliance visibility.
What happens to assessments and evidence when I deactivate a framework?
All assessment answers, evidence, and form submissions are preserved. Deactivating a framework only removes the rollout link. If you reactivate the framework, the controls reconnect to the existing data with all answers and evidence intact.