Audit & Continuous Monitoring

Keep production systems under constant supervision with CompliAI. Our AI audit software helps you identify issues early and maintain oversight with automated alerts and contextual investigative tools.

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Core Purpose

Active Oversight After Deployment

This module continuously monitors deployed AI systems to detect performance drift, anomalous behavior, and compliance-relevant changes. 

It maintains live AI compliance monitoring through signals and generates auditable records that support both internal reviews and regulatory inquiries. 

Key Capabilities

What the Monitoring Module Delivers

Purpose-built for production oversight, these capabilities enable proactive AI risk monitoring and detection to streamline audit preparation. 

Stay Audit-Ready

AI Act Obligations Covered Through Monitoring

By capturing live signals, documenting change events, and surfacing risk indicators, the module supports the legal duties attached to managing an AI system in production.

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Provides ongoing checks and metrics needed to satisfy post-market monitoring expectations.

  • Track deployed model performance and safety indicators.
  • AI risk monitoring detects changes that could affect risk profiles.
  • Maintain records of monitoring activities and outcomes.

Creates immutable logs and event histories for audit and regulatory review.

  • Time-stamped logs of alerts, investigations, and actions.
  • Versioned records of model updates and configuration changes.
  • Exportable audit packages for internal and external reviewers.

Supports risk-management systems and documented change-control practices.

  • Capture incidents, root-cause findings, and remediation steps.
  • Enforce approval gates for model retraining or deployment.
  • Link change events to risk assessments and mitigations.

Process Flow

Operational Workflow for Continuous Monitoring

See the demonstration of our monitoring workflow and how it translates into assessment, logging, and resolution.

Step 1:Monitor System Signals

Collect telemetry, performance metrics, and logs continuously from deployed models and pipelines.

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Step 2: Flag Anomalies

Detect deviations and trigger prioritized alerts when thresholds or drift detectors are breached.

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Step 3: Assess Impact

Evaluate flagged issues to determine severity, scope, and whether regulatory reporting...

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Step 4: Audit & Document Findings

AI audit software captures an immutable entry with evidence, context, and reviewer notes...

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Step 5: Approve & Update the System

Apply approved changes, update baselines, and reset the monitoring loop.

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Use Cases

Real-World Monitoring Scenarios

A healthcare provider uses the module to continuously track diagnostic model sensitivity and false-positive rates, receiving alerts when performance deviates. Rapid notifications enable clinicians and engineers to pause or rollback deployments until safety checks are completed.

An e-commerce personalization model exhibits distribution shift after a data-source change; automated detectors surface the drift and create an incident record. The engineering team uses contextual logs to identify the root cause and retrain the model with corrected data.

A regulated manufacturer runs scheduled review workflows that aggregate monitoring outputs and incident histories into an exportable audit package before periodic internal and external audits. Reviewers get a clear chronology of events and remediation evidence.

A financial services firm detects an unapproved model retraining in a staging pipeline via change-control signals and access logs, preventing unintended deployment and preserving evidence for internal review.

Monitoring Integrations

Connect Your AI Systems for Seamless Oversight

Keep all compliance and audit data synchronized across your production environment with effortless tool integrations.

Logging & SIEM Systems

Code & Change Repositories

Model & Deployment Registries

Key Benefits

Reasons to Choose Our Software for AI Audit & Continuous Monitoring

Active monitoring reduces surprise exposure in production by detecting risky changes as they happen and keeping robust audit records for accountability. 

The module helps teams meet ongoing oversight expectations while delivering clear, actionable signals for remediation.

Continuous AI compliance monitoring

Stay ahead of risks with real-time monitoring of AI systems, ensuring compliance requirements are always met without manual intervention.

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Automated drift and risk detection

Advanced analytics automatically detect performance drift, anomalies, and emerging risks, allowing teams to act before issues escalate.

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Always audit-ready

Immutable logs, event histories, and exportable audit packages from our AI audit software provide defensible evidence at any time, making regulatory reviews seamless.

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Transparent and traceable system behavior

Linked alerts, contextual insights, and detailed activity tracking make it easy to demonstrate governance decisions and maintain full visibility across deployed models.

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See the Monitoring Dashboard in Action

Watch real-time detection, alerts, and audit trails that keep deployed AI systems under defensible oversight. 

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Insights and Expert Analysis

CompliAI Knowledge Base

Keep apprised of current developments pertaining to the EU AI Act, frameworks for compliance, and the most effective approaches to the responsible governance of artificial intelligence.

Resources Post test

Artificial intelligence is already having a major impact on manufacturing operations around the world. From quality control to forecasting and product design, manufacturers are using AI systems to change the way their factories work.

Artificial intelligence is already having a major impact on manufacturing operations around the world. From quality control to forecasting and product design, manufacturers are using AI systems to change the way their factories work.

These days, when a new vehicle rolls off the line at any major European car manufacturer, chances are that an AI system was involved in the production process. Machine learning is quickly revolutionizing the way products are made across industries as manufacturers utilize the benefits of artificial intelligence to perform tasks faster and more accurately than any human could.

Find the Best Solution to Your Business

Schedule a Consultation

Subtitle Style That Goes Here

These days, when a new vehicle rolls off the line at any major European car manufacturer, chances are that an AI system was involved in the production process. Machine learning is quickly revolutionizing the way products are made across industries as manufacturers utilize the benefits of artificial intelligence to perform tasks faster and more accurately than any h uman could.

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Image description 1

Artificial intelligence is already having a major impact on manufacturing operations around the world. From quality control to forecasting and product design, manufacturers are using AI systems to change the way their factories work.

These days, when a new vehicle rolls off the line at any major European car manufacturer, chances are that an AI system was involved in the production process. Machine learning is quickly revolutionizing the way products are made across industries as manufacturers utilize the benefits of artificial intelligence to perform tasks faster and more accurately than any human could.

Accurate System Classification background

Accurate System Classification

Each AI system is automatically evaluated and categorized according to EU AI Act risk levels.

Subtitle Style That Goes Here

Artificial intelligence is already having a major impact on manufacturing operations around the world. From quality control to forecasting and product design, manufacturers are using AI systems to change the way their factories work.

  • Every successful brand is built on strong foundations
  • 91% of consumers are more likely to do business with recognizable brands
  • Memorable visuals and core values that speak to the target audience
  • Successful brand is built on strong foundations

Successful brand is built on strong foundations that support its mission. 91% of consumer do business with recognizable and me

Artificial intelligence is already having a major impact on manufacturing operations around the world. From quality control to forecasting and product design, manufacturers are using AI systems to change the way their factories work.

Find the Best Solution to Your Business

Schedule a Consultation
News post image

News Post test

Lorem Ipsum is simply dummy text of the printing and typesetting industry.

Subtitle Style That Goes Here

Artificial intelligence is already having a major impact on manufacturing operations around the world. From quality control to forecasting and product design, manufacturers are using AI systems to change the way their factories work.

Subtitle Style That Goes Here

Artificial intelligence is already having a major impact on manufacturing operations around the world. From quality control to forecasting and product design, manufacturers are using AI systems to change the way their factories work.

  • Every successful brand is built on strong foundations
  • 91% of consumers are more likely to do business with recognizable brands
  • Memorable visuals and core values that speak to the target audience
  • Successful brand is built on strong foundations
Schedule a Consultation

Client Testimonial

“The difference with AI is the scale of automatization that you can achieve, which leads to increased efficiency for the entire factory.”

Mark J. Roberts – CEO

Hands Writing Business Documents Desk Concept

Case Studies Post test

Artificial intelligence is already having a major impact on manufacturing operations around the world.

Subtitle Style That Goes Here

Artificial intelligence is already having a major impact on manufacturing operations around the world. From quality control to forecasting and product design, manufacturers are using AI systems to change the way their factories work.

Subtitle Style That Goes Here

Artificial intelligence is already having a major impact on manufacturing operations around the world. From quality control to forecasting and product design, manufacturers are using AI systems to change the way their factories work.

  • Every successful brand is built on strong foundations
  • 91% of consumers are more likely to do business with recognizable brands
  • Memorable visuals and core values that speak to the target audience
  • Successful brand is built on strong foundations
Schedule a Consultation

Client Testimonial

“The difference with AI is the scale of automatization that you can achieve, which leads to increased efficiency for the entire factory.”

Mark J. Roberts – CEO

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Step 5: Approve & Update the System

Apply approved changes, update baselines, and reset the monitoring loop.

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Step 4: Audit & Document Findings

AI audit software captures an immutable entry with evidence, context, and reviewer notes for compliance.

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Step 3: Assess Impact

Evaluate flagged issues to determine severity, scope, and whether regulatory reporting or remediation is required.

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Step 2: Flag Anomalies

Detect deviations and trigger prioritized alerts when thresholds or drift detectors are breached.

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Step 1: Monitor System Signals

Collect telemetry, performance metrics, and logs continuously from deployed models and pipelines.

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Step 5: Finalize Conformity

Perform final approvals, lock the workflow state, and output the conformity decision trail for internal records or notified-body review.

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Step 4: Review and Validate

Run configured readiness checks and reviews to confirm every checkpoint meets the criteria before advancing.

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Step 3: Complete Required Actions

Execute the assigned tasks (testing, verification, and process steps) while recording outcome metadata and timestamps.

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Step 2: Assign Responsibilities

Allocate owners, deadlines, and required roles for each task so nothing remains unclaimed.

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Step 1: Identify Requirements

Map the system’s intended use and risk profile, then select the required conformity route and task set.

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Step 4: Export Audit-Ready Files

Produce a finalized technical file that is compliant, version-controlled, and ready for internal review or submission.

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Step 3: Validate Technical File

Perform completeness checks and ensure each section aligns with AI Act documentation requirements before finalizing.

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Step 2: Link Evidence for Traceability

Associate datasets, test results, and design files with their relevant sections to maintain a clear, auditable record.

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Step 1: Gather Documentation Inputs

Collect all necessary system information, design artifacts, and supporting evidence to prepare for Annex IV technical documentation.

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Step 4: Ongoing Monitoring & Updates

Continuously update classifications and inventory entries as models evolve or new AI systems are introduced, ensuring enterprise-wide visibility.

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Step 3: Record Linking & Documentation

Connect models to datasets, use cases, and previous assessments, maintaining a fully auditable history of changes.

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Step 2: Risk Assessment & Classification

Automatically evaluate each system against EU AI Act criteria and assign the appropriate risk tier among the four of them.

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Step 1: System Identification & Registration

Add AI models and datasets into the centralized AI use case inventory with key metadata and ownership details.

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Audit & Continuous Monitoring

Maintain audit integrity with real-time tracking, immutable logs, and compliance dashboards. 

CompliAI enables continuous monitoring of every AI system, helping organizations stay compliant as regulations evolve.

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Requirements Workflow & Conformity Management

Simplify your path to CE marking and regulatory conformity. 

Follow built-in workflows that outline every requirement, track progress, and generate draft declarations of conformity in line with EU standards.

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Annex IV Technical Documentation Automation

Automatically generate, organize, and update all required documentation in structured formats. 

CompliAI links evidence, datasets, and audit records to build comprehensive technical files, ensuring consistency and audit readiness.

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AI System Inventory & Risk Classification

Map every AI system across your organization and determine its regulatory risk level through guided assessments aligned with the EU AI Act.

The platform centralizes system ownership, data, and accountability so that you can have full visibility from day one.