AI Disclosure

1. AI Systems We Use

MicHelper uses a specialized third-party AI inference provider. AI providers are selected based on performance, security, and data protection requirements. MicHelper does not develop, train, or fine-tune any proprietary or custom AI models.

1.1 Speech-to-Text (STT)

Model: Advanced speech recognition (via provider)

Audio recordings are sent to the AI provider API for transcription using advanced speech recognition. Audio is processed in real time and is not retained by the AI provider after transcription is complete.

1.2 Chunk Analysis

Model: Specialized analysis model (via provider)

Individual transcript segments (chunks) are analyzed against customer-defined sales scripts and rules using a specialized analysis model. The AI generates:

• Script compliance scores per conversation segment
• Violation flags and improvement suggestions
• Performance metrics per chunk

1.3 Global Reasoning

Model: Specialized reasoning model (via provider)

After chunk-level analysis, the specialized reasoning model performs global reasoning across the entire conversation to produce:

• Overall compliance scores and performance ratings
• Summary analytics and trend analysis
• Consolidated recommendations

1.4 AI Assistant

Model: Specialized reasoning model (via provider)

MicHelper provides an AI-assisted chat powered by the specialized reasoning model for answering user questions about the platform and sales methodology.

2. AI Data Handling

2.1 Zero Data Retention (ZDR)

MicHelper operates under the provider's Zero Data Retention (ZDR) policy. Under ZDR, the AI provider does not retain API inputs or outputs for model training or any other purpose beyond the immediate processing request. No customer data sent to the AI provider is stored, logged, or used for model improvement.

2.2 Data Flow

The AI processing pipeline works as follows:

1. Audio is uploaded to MicHelper servers
2. Audio is sent to the AI provider API for transcription via encrypted connection (TLS 1.2+)
3. Transcript is returned and stored on MicHelper servers
4. Original audio file is permanently deleted immediately after successful transcription
5. Transcript chunks are sent to the AI provider API for per-chunk analysis
6. Chunk results are aggregated and sent to the AI provider API for global reasoning
7. Final analysis results (scores, flags, recommendations) are stored; transcripts persist during the subscription period for analytics and coaching purposes

2.3 Encryption

All data sent to the AI provider API is encrypted in transit using TLS 1.2 or higher.

3. AI Limitations & Disclaimers

AI analysis is provided for informational purposes only. Accuracy is not guaranteed. You acknowledge and agree that:

• Transcription may contain errors, especially with background noise, accents, or technical terminology
• Compliance scores and violation flags are algorithmic assessments, not definitive judgments
• AI analysis does not constitute legal advice, official compliance certification, or evidence of employee misconduct
• All AI-generated outputs should be reviewed by a qualified human before being used as a basis for employment decisions, disciplinary actions, or compliance determinations
• MicHelper is not liable for decisions made based on AI-generated outputs without adequate human review

4. EU AI Act Classification

High-Risk AI System

4.1 Classification

Under the EU Artificial Intelligence Act (Regulation (EU) 2024/1689), MicHelper's AI-powered performance monitoring system is classified as a high-risk AI system under:

• Annex III, point 4(b): AI systems intended to be used to make or materially influence decisions on the terms of work-related relationships, conditions of work, including task allocation and monitoring or evaluation of persons in such relationships

This classification applies because MicHelper's AI system monitors and evaluates employee performance in workplace settings, generating compliance scores and performance metrics that may influence employment-related decisions.

4.2 MicHelper's Role: Provider

MicHelper is classified as a Provider (not merely a deployer) of a high-risk AI system under the EU AI Act. As the developer of the AI-powered monitoring and analysis system, MicHelper bears the primary regulatory obligations for the AI system's design, development, and conformity.

4.3 Why Not "Limited Risk"?

"Limited risk" classification under the EU AI Act applies to systems such as chatbots and deepfake generators, which require only transparency obligations. Workplace monitoring and employee performance evaluation AI systems are explicitly categorized as high-risk under Annex III, requiring comprehensive compliance obligations beyond mere transparency.

4.4 Penalties

Non-compliance with the EU AI Act may result in significant penalties:

5. Provider Obligations (MicHelper)

As a Provider of a high-risk AI system, MicHelper commits to the following obligations under the EU AI Act:

• Risk Management System: Maintaining a risk management system throughout the AI system lifecycle
• Data Governance: Ensuring training, validation, and testing data meets quality criteria
• Technical Documentation: Maintaining comprehensive technical documentation of the AI system
• Record-Keeping: Automatic logging of events throughout the AI system's lifecycle
• Transparency: Providing clear information to deployers (customers) about the AI system's capabilities and limitations
• Human Oversight: Designing the system to enable effective human oversight by deployers
• Accuracy, Robustness, Cybersecurity: Ensuring appropriate levels of accuracy, robustness, and cybersecurity
• Conformity Assessment: Conducting conformity assessments as required

6. Customer (Deployer) Obligations

As a deployer of MicHelper's high-risk AI system, you (the Customer) have the following obligations:

• Inform Employees: You must inform employees that AI is used to transcribe and analyze their workplace conversations and generate performance metrics
• Human Review: You must ensure that a qualified human reviews AI-generated outputs before making employment decisions (hiring, firing, promotion, demotion, disciplinary actions)
• Human-in-the-Loop: Maintain meaningful human oversight of the AI system's outputs — do not use AI scores as the sole basis for consequential decisions
• Inform Workers' Representatives: Where applicable, inform workers' representatives and affected workers that they will be subject to the high-risk AI system (Article 26(7))
• Data Protection Impact Assessment: Conduct a DPIA under GDPR before deploying the system, as required for high-risk AI systems that process personal data
• Monitoring: Monitor the AI system's operation and report any serious incidents or malfunctions to MicHelper

7. No AI Training on Customer Data

MicHelper does not use customer audio recordings, transcripts, or analysis results to train, fine-tune, or improve any AI models. MicHelper does not develop or maintain any proprietary or custom AI models. No fine-tuning is performed on customer data.

All AI inference is provided under strict Zero Data Retention (ZDR) policies, meaning the AI provider does not retain input or output data for any purpose beyond the immediate API request.

Aggregated, anonymized usage statistics (e.g., average processing times, error rates) may be used to improve the MicHelper platform itself, but never individual customer content.

8. Contact

For questions about our AI systems or this disclosure:

• Contact: michelperhelp@gmail.com
• Website: michelper.com