---
title: "AI compliance assistant"
canonical: "https://auditbadger.com/nl/functies/ai-compliance-assistent/"
last-updated: "2026-09-05"
---

# AI compliance assistant

Context-aware AI for the repetitive parts of compliance work — control descriptions, policy drafting, evidence suggestions, risk identification, and document adequacy verification. Trained on regulatory requirements and grounded in your specific company context (industry, stack, team size, frameworks pursued).

## What the AI does

| Capability | Detail |
|---|---|
| **Context-aware control descriptions** | Generate descriptions that reference your actual tools, processes, and team structure — not generic boilerplate |
| **Stack-aware policy drafting** | Full policy documents (scope, responsibilities, procedures, review schedules) tailored to your stack and framework |
| **Policy-to-control linking** | Auto-map generated policies to the controls they satisfy |
| **Evidence suggestions** | For each control, recommend specific evidence to collect based on your tech stack |
| **Risk identification** | Propose risks for your industry and operations; suggest treatment strategies that align with existing controls |
| **Document adequacy scoring** | Score every linked document 0–100 against the requirement it satisfies (used in the ISO 27001 module) |
| **Gap identification** | Pinpoint specific shortcomings ("Your Access Control Policy doesn't address periodic review cycles") before auditors do |
| **Business continuity drafting** | Identify critical processes and draft initial BCP plans |

## How company context works

During onboarding, you provide:
- Industry
- Company size
- Technology stack
- Frameworks targeted

The AI uses this context every time it generates content. As you add policies, controls, and program data, the AI's suggestions become increasingly specific.

## Human in the loop

Every piece of AI-generated content — control descriptions, policies, evidence suggestions, risk assessments — is fully editable. The AI gives a strong starting point; humans validate and approve before it's used as audit evidence. This is a co-pilot, not autopilot.

## Common questions

### How does the AI understand my company?
Through onboarding context (industry, size, stack, frameworks) and through the program data you accumulate. It does not phone home to share your data with third parties.

### Can I edit AI-generated content?
Yes — every output is fully editable. Most teams make minor adjustments rather than starting over.

### Which frameworks are supported?
SOC 2 (all Trust Services Criteria) and ISO 27001:2022 out of the box. Cross-framework deduplication is automatic.

### Is the output audit-ready?
Designed to be. Generated policies follow industry-standard structures auditors recognise; control descriptions address the specific requirements of each control point. Treat the AI as a first-draft author whose work your team validates.

## Useful links

- Sign up: [auth.auditbadger.com/signup](https://auth.auditbadger.com/signup)
- All features: [/features](/features)
- Free policy generator (uses the same AI, no signup): [/free-compliance-policies-generator](/free-compliance-policies-generator)
- SOC 2 deep dive: [/compliance/soc2](/compliance/soc2)
- ISO 27001 deep dive: [/compliance/iso27001](/compliance/iso27001)