AI Policy

Prospectory is committed to developing and deploying AI technology responsibly. Our AI-powered sales intelligence platform is designed with transparency, fairness, and human oversight as core principles.

We believe AI should augment human capabilities, not replace human judgment in important decisions.

Our platform uses AI for:

• **Lead Research:** Aggregating and analyzing publicly available data to enrich prospect profiles
• **Content Generation:** Creating personalized outreach messages based on prospect intelligence
• **Lead Scoring:** Predicting propensity to buy using machine learning models
• **Response Classification:** Categorizing and prioritizing prospect responses
• **Meeting Scheduling:** Automating calendar coordination

AI suggestions are always subject to human review and approval.

Our AI models are trained on and use:

• Publicly available business information
• Customer-provided data with appropriate consent
• Anonymized and aggregated usage patterns
• Licensed third-party data sources

We do not train our models on customer conversations or proprietary business data without explicit consent.

We maintain human oversight through:

• Human review of AI-generated content before sending
• Ability to override or modify AI recommendations
• Regular auditing of AI outputs for quality and appropriateness
• Clear labeling of AI-generated content

Sales professionals retain full control over all communications sent through our platform.

We actively work to identify and mitigate bias in our AI systems:

• Regular bias audits of our models
• Diverse training data sets
• Monitoring for discriminatory patterns
• Feedback mechanisms for reporting issues

We do not use AI to make decisions based on protected characteristics.

We are committed to transparency about our AI:

• Clear disclosure when AI is being used
• Explanation of how AI recommendations are generated
• Regular updates on our AI capabilities and limitations
• Open communication about AI-related incidents

Our AI systems are protected by:

• Encryption of data in transit and at rest
• Access controls and authentication
• Regular security assessments
• Compliance with data protection regulations

AI processing of personal data follows the principles outlined in our Privacy Policy.

We continuously improve our AI systems through:

• Regular model updates and retraining
• User feedback incorporation
• Industry best practice adoption
• Collaboration with AI ethics researchers

For questions about our AI practices:

We welcome feedback on our AI systems and their outputs.