Sales Stage AI
Sales Stage AI | Legal

AI Transparency

Last updated: May 2026

Note on bilingual format

This page is provided in both English and German. In the event of inconsistencies between both versions, the German version shall prevail to the extent required by applicable law.

1. Why This Page Exists

This page explains how AI features within Sales Stage AI operate, what the platform is designed to do, and — equally important — what it is not designed to do. Sales Stage AI is committed to transparency, responsible AI usage and meaningful human oversight.

This page is written for for business owners, hiring managers, HR professionals, individuals responsible for IT or legal compliance and candidates who want to understand the role of AI in their assessment. This page is not a legal document. For legal data processing terms, please refer to our Privacy Policy and Terms of Service.

2. What the AI Actually Does

Sales Stage AI uses artificial intelligence at several stages of the assessment process:

Conversation simulation

The AI generates a realistic sales conversation partner, responding dynamically to what a candidate says. The scenario — including the prospect persona, objections, pain points and resistance level — is configured in advance by the company using our scenario wizard.

Voice synthesis

The AI persona speaks using a synthesised voice. Candidates interact with this voice in real time during the simulation. The voice is generated from scenario text, and does not use or replicate any real person's voice.

Transcription

The candidate's spoken responses are automatically transcribed into text, using AI-powered speech recognition. This transcript forms the basis for the subsequent analysis.

Performance analysis

Following the simulation, a separate AI model analyses the transcript and generates a structured performance report. This includes a numerical performance score, a breakdown of competency scores and a qualitative summary of strengths and areas for development.

3. How Scores Are Calculated

The performance score is not a black-box output. It is derived from two clearly defined sources:

1. Position-specific requirements

Before sending an assessment link, the company configures a new position within the platform — including the job description, the target candidate profile and the scenario settings. These inputs directly shape what the AI evaluates and how results are weighted.

2. Standardised competency framework

Depending on the scenario type selected, the AI evaluates performance against a defined set of professional competencies:

  • For sales scenarios: needs analysis, persuasion, objection handling, closing ability, rapport building and adaptability.
  • For advisory and support scenarios: communication skills, problem diagnosis, ownership, composure under pressure, solution focus, empathy and adaptability.

The score reflects conversational performance in the configured scenario only. It is not a measure of general intelligence, personality, cultural fit, or overall suitability for a role.

4. What the AI Does Not Do

Sales Stage AI explicitly does not:

  • Make hiring decisions: This platform never autonomously accepts, rejects, shortlists or recommends any candidate. Every evaluation requires human review before a hiring decision is made.
  • Perform emotion recognition: Our AI does not analyse the candidate's emotional state, tone of voice or sentiment in any way that infers emotion or mood.
  • Perform lie detection: This platform has no lie detection capability and makes no assessment of honesty or deception.
  • Create psychological profiles: The AI does not assess personality traits, psychological characteristics or cognitive ability.
  • Perform biometric identification: Voice recordings are not used to identify candidates and are not matched against any biometric database.
  • Use facial recognition or biometric categorisation: This platform is voice-only and does not use facial recognition, image analysis, or any form of biometric categorisation technology.
  • Rank candidates against each other: The AI does not produce comparative rankings between candidates. Each assessment is evaluated independently against the configured position criteria.
  • Learn from candidate data: Candidate data — including voice recordings and transcripts — is never used to train, fine-tune or improve any AI model.

5. Human Oversight

Human oversight is not optional on our platform — it is built into how the product works.

Sales Stage AI provides structured performance insights intended exclusively to support the judgment of qualified human reviewers. The hiring manager at the client company receives the AI-generated report and is responsible for reviewing it, interpreting it in context and making an independent hiring decision.

The platform is designed so that no automated action is taken on the basis of a candidate's results. No candidate is advanced, shortlisted or rejected by the system. The hiring decision — in every case — rests solely with the client as the responsible employer.

This design is intentional. It reflects both our values as a company and the requirements of the EU AI Act, which classifies AI systems used in recruitment as high-risk and requires meaningful human oversight.

6. AI Limitations

We are transparent about what our AI cannot guarantee:

  • AI-generated analyses may contain inaccuracies or reflect limitations of the underlying models.
  • Transcription accuracy depends on audio quality, microphone quality, accent, speaking pace, speaking volume, and the stability of a candidate's internet connection. Errors in transcription may affect the analysis.
  • Scores are scenario-specific. A candidate's performance in a simulated cold call, does not necessarily predict their performance in a different scenario or role.
  • The AI evaluates what was said and how it was said within the simulation. It has no access to context outside the conversation — prior experience, cultural background or circumstances affecting performance on a given day.
  • The quality and relevance of evaluations depends significantly on how a sales scenario was configured by a user — including the scenario complexity, difficulty and other evaluation criteria predefined in the platform. Technical conditions, language clarity and context completeness, also play a role in how accurately the AI can evaluate a candidate's performance.
  • AI models have known limitations around language, accent and communication style. Hiring managers should be aware of these limitations when interpreting results.

AI-generated insights should always be reviewed critically by qualified human reviewers. Customers are responsible for interpreting results in context and making independent judgments that account for these limitations.

7. Fairness and Responsible Use

We are committed to the responsible use of AI in hiring processes. However, we are equally clear about where responsibility lies.

Sales Stage AI provides a tool. Customers — the companies using our platform — are responsible for ensuring that the tool is used lawfully and fairly. This includes:

  • Complying with applicable anti-discrimination law, including the German General Equal Treatment Act (AGG) and equivalent legislation in the candidate's jurisdiction.
  • Ensuring that AI-generated results are not used as the sole or determining factor in hiring decisions.
  • Informing candidates that an AI-assisted assessment tool is being used, before sending the assessment link.
  • Obtaining any necessary approvals, including works council (Betriebsrat) consent, where required under German co-determination law.

We recommend that customers review AI-generated scores alongside other assessment methods and consider the full context of each candidate's profile, before making any hiring decisions. Sales Stage AI explicitly prohibits the use of the platform for unlawful discrimination or for automated decision-making without meaningful human review.

8. Data Used During the Simulation

The following data is processed during and after an assessment:

  • Candidate name and email address
  • Audio recording of the simulated conversation
  • Automatically generated transcript of the conversation
  • AI-generated performance analysis and score

Audio recording and transcription are technically required for the simulation to function. They cannot be disabled without disabling the assessment itself. Candidates are informed of this before the simulation begins.

All candidate data is automatically deleted 90 days after the simulation is completed. Assessment links expire 14 days after generation. For full details on data processing, retention and candidate rights, please refer to our Privacy Policy.

9. EU AI Act Classification

Under the EU AI Act (Regulation (EU) 2024/1689), Sales Stage AI may fall within the scope of high-risk AI systems, used in employment and personnel management (Annex III, No. 4).

We take this classification seriously and have designed the platform accordingly:

  • All AI outputs are decision-support tools only — no automated hiring decisions are made.
  • Candidates are informed before the simulation, that they are interacting with an AI system.
  • Assessment criteria are documented and transparent.
  • Only the data strictly necessary for the assessment is collected.
  • We maintain an internal risk register that is reviewed and updated regularly.

10. AI Governance Principles

Sales Stage AI is committed to developing and operating its platform in alignment with responsible AI principles. These include:

  • Transparency — we explain clearly what our AI does and does not do
  • Human oversight — all AI outputs require human review before decisions are made
  • Accountability — we take responsibility for our platform’s functionality and its limitations.
  • Proportionality — we collect and process only data strictly necessary for the assessment purpose
  • Privacy by design — data protection is built into the platform architecture from the ground up
  • Responsible AI usage — we prohibit uses of the platform that violate these principles

Compliance obligations relating to recruitment processes — including employment law, anti-discrimination law and works council requirements — remain the responsibility of the customer.

11. Contact

For any questions regarding our platform, or to raise concerns:

Email: [privacy@domain.com]

For data protection and legal terms, please refer to our Privacy Policy and Terms of Service.