Author: Sasa Nikolic

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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 […]

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Hands Writing Business Documents Desk Concept

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

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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.