Terms of Services

TABLE OF CONTENTS

  1. Terms of Service
  2. Privacy Policy
  3. Acceptable Use Policy
  4. AI Ethics & Responsible Use Guidelines
  5. Data Processing Agreement
  6. Service Level Agreement
  7. Intellectual Property Policy

TERMS OF SERVICE

1. DEFINITIONS

"FLOWBRIDGE AI," "Company," "we," "us," or "our" refers to FLOWBRIDGE AI, a technology company providing AI-powered automation services.

"Services" means all AI automation tools, software, platforms, APIs, consulting services, and related technologies provided by FLOWBRIDGE AI.

"Customer," "Client," "you," or "your" refers to the individual or entity accessing or using our Services.

"AI Models" refers to machine learning algorithms, neural networks, and artificial intelligence systems deployed within our Services.

"Customer Data" means any data, information, or content that Customer provides, uploads, or inputs into the Services.

"Processed Data" means data that has been analyzed, transformed, or modified by our AI Models.

2. ACCEPTANCE AND MODIFICATIONS

By accessing or using FLOWBRIDGE AI Services, you agree to be bound by these Terms of Service and all applicable laws and regulations. We reserve the right to modify these terms at any time with 30 days' written notice for material changes affecting existing services, and immediate effect for new features or legal compliance requirements.

3. SERVICE DESCRIPTION

FLOWBRIDGE AI provides:

  • Intelligent workflow automation solutions
  • Custom AI model development and deployment
  • Process optimization through machine learning
  • Data analytics and predictive modeling
  • API integrations and automation consulting
  • Enterprise-grade AI infrastructure management

4. ACCOUNT REGISTRATION AND SECURITY

4.1 Registration Requirements

  • Accurate and complete registration information
  • Designated authorized users and administrators
  • Compliance with age restrictions (18+ or legal business entity)
  • Verification of business credentials for enterprise accounts

4.2 Account Security

  • Customer responsibility for credential security
  • Immediate notification of unauthorized access
  • Implementation of appropriate security measures
  • Regular access review and user management

5. AI MODEL ACCURACY AND LIMITATIONS

5.1 Performance Disclaimers FLOWBRIDGE AI makes no warranties regarding:

  • Absolute accuracy of AI predictions or outputs
  • Error-free operation of machine learning models
  • Fitness for specific use cases without validation
  • Consistency of results across different datasets

5.2 Model Training and Bias

  • AI models are trained on historical data which may contain inherent biases
  • Customers are responsible for validating outputs for their specific use cases
  • Regular model updates may change performance characteristics
  • Bias mitigation is implemented but not guaranteed to eliminate all biases

6. DATA HANDLING AND PROCESSING

6.1 Customer Data Ownership

  • Customers retain full ownership of their input data
  • FLOWBRIDGE AI processes data solely to provide Services
  • No claim to intellectual property rights in Customer Data
  • Data portability upon reasonable request

6.2 Data Processing Limitations

  • Processing limited to scope defined in service agreements
  • No use of Customer Data for competing services
  • Aggregated, anonymized insights may be used for service improvement
  • Compliance with applicable data protection regulations

7. LIMITATION OF LIABILITY

7.1 Liability Cap FLOWBRIDGE AI's total liability shall not exceed the fees paid by Customer in the twelve (12) months preceding the claim, or $10,000, whichever is greater.

7.2 Excluded Damages We shall not be liable for:

  • Consequential, indirect, or punitive damages
  • Lost profits or business opportunities
  • Data corruption or loss (beyond reasonable backup obligations)
  • Third-party claims arising from Customer's use of Services

7.3 AI-Specific Limitations

  • Decisions made based on AI recommendations without human oversight
  • Algorithmic bias in outputs or predictions
  • Model degradation or accuracy changes over time
  • Integration failures with third-party systems

8. INDEMNIFICATION

Customer agrees to indemnify FLOWBRIDGE AI against claims arising from:

  • Violation of these Terms or applicable law
  • Misuse of AI outputs or recommendations
  • Infringement of third-party rights
  • Data provided to the Services containing unlawful content

9. TERMINATION

9.1 Termination Rights Either party may terminate with 30 days' written notice. Immediate termination for material breach, insolvency, or violation of Acceptable Use Policy.

9.2 Effect of Termination

  • Customer Data return or deletion within 30 days
  • Immediate cessation of Service access
  • Survival of payment obligations and confidentiality terms
  • Limited post-termination support period

10. GOVERNING LAW

These Terms shall be governed by the laws of Delaware, United States, excluding conflict of law provisions. Disputes shall be resolved through binding arbitration under American Arbitration Association Commercial Rules.

PRIVACY POLICY

1. INFORMATION COLLECTION

1.1 Personal Information We collect:

  • Contact information (name, email, phone)
  • Account credentials and authentication data
  • Billing and payment information
  • Usage patterns and performance metrics
  • Support communications and feedback

1.2 Technical Information

  • IP addresses and device identifiers
  • Browser and operating system information
  • API usage logs and error reports
  • Performance and uptime metrics
  • Security audit logs

1.3 Customer Data

  • Data uploaded or input into Services
  • Processed outputs and results
  • Configuration and customization settings
  • Integration and workflow definitions

2. USE OF INFORMATION

2.1 Service Provision

  • Delivering and maintaining AI automation services
  • Processing data through machine learning models
  • Providing customer support and troubleshooting
  • Managing billing and account administration

2.2 Service Improvement

  • Analyzing usage patterns for optimization
  • Developing new features and capabilities
  • Improving AI model performance
  • Conducting security monitoring and threat detection

2.3 Legal Compliance

  • Fulfilling regulatory reporting requirements
  • Responding to lawful requests from authorities
  • Enforcing terms of service and policies
  • Protecting rights and safety of users

3. DATA SHARING AND DISCLOSURE

3.1 No Sale of Personal Data FLOWBRIDGE AI does not sell personal information to third parties.

3.2 Authorized Disclosures Information may be shared with:

  • Service providers under strict confidentiality agreements
  • Legal authorities when required by law
  • Business transferees in case of merger or acquisition
  • Customer-authorized third parties

3.3 Anonymized Data Aggregated, anonymized usage statistics may be used for:

  • Industry benchmarking and research
  • Marketing and promotional materials
  • Academic research collaborations
  • Product development insights

4. DATA SECURITY

4.1 Security Measures

  • Encryption in transit and at rest (AES-256)
  • Multi-factor authentication requirements
  • Regular security audits and penetration testing
  • ISO 27001 and SOC 2 Type II compliance

4.2 Incident Response

  • 72-hour breach notification to affected customers
  • Comprehensive incident investigation and remediation
  • Regular security awareness training for employees
  • Continuous monitoring and threat detection

5. DATA RETENTION

5.1 Retention Periods

  • Customer Data: Retained during active service plus 30 days post-termination
  • Account Information: 7 years for legal compliance
  • Usage Logs: 2 years for security and optimization
  • Marketing Data: Until consent withdrawal

5.2 Deletion Rights Customers may request deletion of personal data, subject to legal retention requirements and legitimate business interests.

6. INTERNATIONAL TRANSFERS

6.1 Cross-Border Processing Customer Data may be processed in countries where FLOWBRIDGE AI operates facilities, including United States, European Union, and Canada.

6.2 Transfer Safeguards

  • Standard Contractual Clauses for EU transfers
  • Privacy Shield successor frameworks
  • Binding Corporate Rules implementation
  • Local data residency options for enterprise customers

7. RIGHTS AND CHOICES

7.1 Access Rights

  • Right to access personal information
  • Data portability in machine-readable formats
  • Correction of inaccurate information
  • Restriction of processing in certain circumstances

7.2 Consent Management

  • Granular consent for different processing purposes
  • Easy withdrawal of consent mechanisms
  • Opt-out options for marketing communications
  • Cookie and tracking preference controls

ACCEPTABLE USE POLICY

1. PROHIBITED USES

1.1 Illegal Activities

  • Violation of any applicable laws or regulations
  • Infringement of intellectual property rights
  • Fraudulent or deceptive practices
  • Money laundering or terrorist financing

1.2 Harmful Content

  • Harassment, abuse, or threats against individuals
  • Discrimination based on protected characteristics
  • Adult content or child exploitation material
  • Violence incitement or hate speech

1.3 System Abuse

  • Attempts to reverse engineer AI models
  • Unauthorized access or penetration testing
  • Resource exhaustion or denial of service attacks
  • Circumvention of usage limits or security measures

1.4 AI-Specific Prohibitions

  • Training competing AI models using our outputs
  • Attempting to extract training data from models
  • Creating deepfakes or synthetic media for deception
  • Developing autonomous weapons systems

2. CONTENT STANDARDS

2.1 Accuracy Requirements

  • Reasonable efforts to provide accurate input data
  • Disclosure of known data quality issues
  • Validation of AI outputs before critical decisions
  • Appropriate human oversight of automated processes

2.2 Bias and Fairness

  • Proactive identification and mitigation of biased outcomes
  • Regular testing for discriminatory patterns
  • Documentation of fairness considerations
  • Inclusive design practices

3. TECHNICAL COMPLIANCE

3.1 API Usage

  • Adherence to rate limits and quotas
  • Proper error handling and retry logic
  • Secure credential management
  • Appropriate caching strategies

3.2 Data Quality

  • Clean, well-formatted input data
  • Appropriate data preprocessing
  • Compliance with specified data schemas
  • Regular data quality assessments

4. ENFORCEMENT

4.1 Violation Response

  • Warning and opportunity to remedy
  • Temporary suspension of services
  • Permanent account termination
  • Legal action for egregious violations

4.2 Appeals Process

  • Written appeal within 30 days of action
  • Independent review of enforcement decisions
  • Restoration of services upon successful appeal
  • Documentation of appeal outcomes

AI ETHICS & RESPONSIBLE USE GUIDELINES

1. CORE PRINCIPLES

1.1 Transparency

  • Clear disclosure of AI involvement in processes
  • Explainable AI outputs where technically feasible
  • Documentation of model capabilities and limitations
  • Regular algorithmic impact assessments

1.2 Fairness and Non-Discrimination

  • Proactive bias detection and mitigation
  • Inclusive dataset curation practices
  • Regular fairness audits across protected classes
  • Accessible design for users with disabilities

1.3 Privacy by Design

  • Data minimization in model training
  • Purpose limitation for data processing
  • Privacy-preserving machine learning techniques
  • User control over personal information

1.4 Human Agency

  • Meaningful human oversight of AI decisions
  • Right to explanation for automated decisions
  • Human review mechanisms for critical outputs
  • Clear boundaries of AI system capabilities

2. DEVELOPMENT STANDARDS

2.1 Model Development

  • Diverse and representative training datasets
  • Regular bias testing throughout development
  • Validation on multiple demographic groups
  • Documentation of known limitations and edge cases

2.2 Testing and Validation

  • Comprehensive testing across use cases
  • Red team exercises for adversarial scenarios
  • Performance monitoring in production
  • Regular model retraining and updates

2.3 Deployment Safeguards

  • Gradual rollout with monitoring
  • Circuit breakers for anomalous behavior
  • Human-in-the-loop for high-stakes decisions
  • Clear escalation procedures

3. STAKEHOLDER ENGAGEMENT

3.1 Customer Education

  • Training on responsible AI use
  • Best practices documentation
  • Regular webinars and workshops
  • Technical support for ethical implementation

3.2 Industry Collaboration

  • Participation in AI ethics initiatives
  • Sharing of best practices and research
  • Collaboration on industry standards
  • Support for regulatory development

4. GOVERNANCE STRUCTURE

4.1 AI Ethics Committee

  • Cross-functional team including external advisors
  • Regular review of AI systems and practices
  • Policy development and updates
  • Incident investigation and response

4.2 Continuous Improvement

  • Regular ethics training for employees
  • Customer feedback integration
  • External audit and assessment
  • Public reporting on ethics initiatives

DATA PROCESSING AGREEMENT

1. SCOPE AND PURPOSE

This Data Processing Agreement ("DPA") governs the processing of personal data by FLOWBRIDGE AI on behalf of Customer in connection with the provision of Services under the main Terms of Service.

1.1 Roles and Responsibilities

  • Customer acts as Data Controller
  • FLOWBRIDGE AI acts as Data Processor
  • Processing limited to providing contracted Services
  • Compliance with applicable data protection laws

1.2 Processing Activities

  • Data ingestion and validation
  • Machine learning model inference
  • Results generation and delivery
  • Data storage and backup
  • Security monitoring and audit logging

2. PROCESSING INSTRUCTIONS

2.1 Lawful Instructions FLOWBRIDGE AI shall process personal data only:

  • On documented instructions from Customer
  • As necessary to provide contracted Services
  • To comply with legal obligations
  • With explicit consent for new processing purposes

2.2 Instruction Documentation

  • Written instructions through service configuration
  • Technical specifications and parameters
  • Processing purpose and legal basis
  • Data categories and subject types

3. SECURITY MEASURES

3.1 Technical Safeguards

  • Encryption of data in transit and at rest
  • Access controls and authentication
  • Network security and monitoring
  • Regular security assessments

3.2 Organizational Measures

  • Employee background checks
  • Confidentiality agreements
  • Security awareness training
  • Incident response procedures

4. SUBPROCESSING

4.1 Authorized Subprocessors Current list maintained at [company website]. Customer will be notified of changes with 30 days' advance notice and opportunity to object.

4.2 Subprocessor Requirements

  • Written agreements with equivalent protection
  • Regular audits and compliance monitoring
  • Direct liability for subprocessor actions
  • Immediate notification of subprocessor breaches

5. DATA SUBJECT RIGHTS

5.1 Rights Facilitation FLOWBRIDGE AI will assist Customer in responding to:

  • Access requests and data portability
  • Rectification and erasure requests
  • Restriction of processing requests
  • Objection to processing

5.2 Response Procedures

  • Acknowledgment within 72 hours
  • Reasonable assistance with technical measures
  • Direct response to data subjects when authorized
  • Documentation of rights exercises

6. DATA BREACH NOTIFICATION

6.1 Notification Timeline

  • Internal awareness within 24 hours
  • Customer notification within 72 hours
  • Regulatory notification assistance as needed
  • Ongoing updates throughout investigation

6.2 Breach Information

  • Description of breach circumstances
  • Categories and approximate numbers affected
  • Likely consequences and mitigation measures
  • Remedial actions taken or planned

7. DATA TRANSFERS

7.1 Transfer Mechanisms

  • European Commission adequacy decisions
  • Standard Contractual Clauses
  • Binding Corporate Rules
  • Derogations for specific situations

7.2 Transfer Safeguards

  • Assessment of third country data protection
  • Additional safeguards where necessary
  • Regular review of transfer arrangements
  • Documentation of transfer decisions

8. DELETION AND RETURN

8.1 End of Processing Upon service termination or instruction:

  • Return or deletion within 30 days
  • Secure deletion of all copies
  • Certification of deletion process
  • Exception for legal retention requirements

8.2 Data Categories

  • Personal data in Customer datasets
  • Processing logs and audit trails
  • Backup and archival copies
  • Derived data and model outputs

SERVICE LEVEL AGREEMENT

1. SERVICE AVAILABILITY

1.1 Uptime Commitment

  • 99.9% uptime for Production Services
  • 99.5% uptime for Development/Testing environments
  • Planned maintenance excluded from calculations
  • Monthly measurement and reporting

1.2 Availability Measurement

  • Continuous monitoring of service endpoints
  • Third-party monitoring validation
  • Customer-reported incidents included
  • Geographic availability tracking

2. PERFORMANCE STANDARDS

2.1 Response Times

  • API calls: 95th percentile under 500ms
  • Batch processing: Within agreed processing windows
  • Dashboard loading: Under 3 seconds
  • Report generation: Under 30 seconds for standard reports

2.2 Throughput Commitments

  • Minimum processing capacity as specified in Order
  • Auto-scaling for demand spikes
  • Queue management for peak periods
  • Priority processing for critical workloads

3. SUPPORT RESPONSE TIMES

3.1 Severity Levels

  • Critical (Severity 1): Service completely unavailable
    • Response: 1 hour
    • Resolution target: 4 hours
    • 24/7 escalation available
  • High (Severity 2): Major functionality impaired
    • Response: 4 business hours
    • Resolution target: 24 business hours
    • Business hours escalation
  • Medium (Severity 3): Minor functionality issues
    • Response: 1 business day
    • Resolution target: 5 business days
    • Standard support queue
  • Low (Severity 4): General questions and requests
    • Response: 2 business days
    • Resolution target: 10 business days
    • Documentation and training focus

3.2 Support Channels

  • Ticketing system (primary)
  • Email support for business accounts
  • Phone support for enterprise customers
  • Emergency hotline for critical issues

4. SERVICE CREDITS

4.1 Credit Calculation

  • Uptime below 99.9%: 10% monthly credit
  • Uptime below 99.0%: 25% monthly credit
  • Uptime below 95.0%: 50% monthly credit
  • Multiple outages: Cumulative credit calculation

4.2 Credit Process

  • Automatic monitoring and calculation
  • Monthly credit reports to customers
  • Credits applied to next month's invoice
  • No credit for customer-caused downtime

5. MAINTENANCE AND UPDATES

5.1 Planned Maintenance

  • Monthly maintenance windows: 4-hour maximum
  • 72-hour advance notification
  • Scheduled during low-usage periods
  • Minimal customer impact procedures

5.2 Emergency Maintenance

  • Immediate response to security threats
  • Customer notification within 1 hour
  • Status page updates every 30 minutes
  • Post-incident reports within 24 hours

6. MONITORING AND REPORTING

6.1 Real-time Monitoring

  • Public status page with current metrics
  • Automated alerting for service issues
  • Customer dashboard with usage statistics
  • API endpoint for programmatic access

6.2 Monthly Reports

  • Availability and performance metrics
  • Incident summaries and resolutions
  • Capacity planning and recommendations
  • Service improvement initiatives

7. DISASTER RECOVERY

7.1 Recovery Objectives

  • Recovery Time Objective (RTO): 4 hours
  • Recovery Point Objective (RPO): 1 hour
  • Cross-region failover capabilities
  • Regular disaster recovery testing

7.2 Business Continuity

  • Geographically distributed infrastructure
  • Real-time data replication
  • Automated failover procedures
  • Communication plan for major incidents

INTELLECTUAL PROPERTY POLICY

1. OWNERSHIP RIGHTS

1.1 Customer Intellectual Property

  • Customer retains full ownership of input data and content
  • No transfer of Customer IP rights to FLOWBRIDGE AI
  • Customer grants license solely for service provision
  • Right to request removal of Customer data from systems

1.2 FLOWBRIDGE AI Intellectual Property

  • Proprietary algorithms and AI models remain our property
  • Software, documentation, and methodologies owned by FLOWBRIDGE AI
  • Trade secrets and know-how protected
  • Customer may not reverse engineer or reproduce

1.3 Derivative Works

  • Outputs generated by AI models belong to Customer
  • FLOWBRIDGE AI retains rights to underlying AI technology
  • Aggregated, anonymized insights may be retained
  • No rights claimed to Customer's creative works

2. LICENSE GRANTS

2.1 Customer License to FLOWBRIDGE AI Customer grants FLOWBRIDGE AI a limited, non-exclusive license to:

  • Process Customer Data to provide Services
  • Store and transmit data as necessary for service delivery
  • Create temporary copies for processing and backup
  • Use aggregated, anonymized data for service improvement

2.2 FLOWBRIDGE AI License to Customer FLOWBRIDGE AI grants Customer a limited, non-exclusive license to:

  • Use Services in accordance with Terms of Service
  • Access and use generated outputs and results
  • Integrate Services with Customer's existing systems
  • Use documentation and materials for authorized purposes

3. THIRD-PARTY INTELLECTUAL PROPERTY

3.1 Infringement Protection FLOWBRIDGE AI will defend Customer against claims that Services infringe third-party intellectual property rights, subject to:

  • Prompt notification of claims
  • Cooperation in defense
  • FLOWBRIDGE AI control of defense strategy
  • Customer compliance with settlement terms

3.2 Remediation Options If infringement is found or likely, FLOWBRIDGE AI may:

  • Obtain rights to continue providing Services
  • Modify Services to be non-infringing
  • Replace infringing components
  • Terminate Services with refund of prepaid fees

4. AI MODEL PROTECTION

4.1 Trade Secret Protection

  • AI model architectures and training data are trade secrets
  • Employees and contractors bound by confidentiality
  • Technical safeguards to prevent model extraction
  • Legal remedies for trade secret misappropriation

4.2 Patent Rights

  • Patent applications filed for novel AI innovations
  • Defensive patent portfolio development
  • Cross-licensing agreements with technology partners
  • Patent infringement monitoring and enforcement

5. CUSTOMER RESPONSIBILITIES

5.1 Rights Warranty Customer warrants that:

  • Authorized to provide input data to Services
  • Input data does not infringe third-party rights
  • Compliance with applicable licensing terms
  • Right to use outputs for intended purposes

5.2 Indemnification Customer will indemnify FLOWBRIDGE AI for claims arising from:

  • Customer's unauthorized use of third-party content
  • Violation of licensing terms or restrictions
  • Misrepresentation of ownership or rights
  • Use of outputs beyond granted permissions

6. OPEN SOURCE COMPLIANCE

6.1 Open Source Components

  • Attribution notices for incorporated open source software
  • Compliance with applicable open source licenses
  • Regular audit of open source dependencies
  • Customer notification of license obligations

6.2 Copyleft Considerations

  • Careful isolation of copyleft-licensed components
  • Assessment of copyleft obligations for customer deployments
  • Alternative implementations to avoid copyleft restrictions
  • Clear guidance on customer distribution rights

COMPLIANCE AND REGULATORY FRAMEWORK

1. DATA PROTECTION COMPLIANCE

1.1 GDPR Compliance (EU)

  • Lawful basis documentation for all processing
  • Data Protection Impact Assessments for high-risk processing
  • Privacy by design and by default implementation
  • Data Protection Officer appointment and contact details

1.2 CCPA Compliance (California)

  • Consumer rights notice and implementation
  • Do not sell personal information commitment
  • Opt-out mechanisms for data sharing
  • Third-party service provider agreements

1.3 Other Regional Laws

  • Canadian PIPEDA compliance procedures
  • Brazilian LGPD implementation
  • UK GDPR post-Brexit compliance
  • Emerging privacy law monitoring and adaptation

2. AI GOVERNANCE COMPLIANCE

2.1 EU AI Act Preparation

  • Risk assessment framework for AI systems
  • Conformity assessment procedures for high-risk AI
  • Documentation and record-keeping requirements
  • Human oversight and transparency measures

2.2 Sectoral AI Regulations

  • Financial services AI governance (SR 11-7)
  • Healthcare AI compliance (FDA, HIPAA)
  • Employment AI fairness requirements
  • Consumer protection in automated decision-making

3. SECURITY AND AUDIT COMPLIANCE

3.1 Industry Certifications

  • SOC 2 Type II annual audits
  • ISO 27001 information security management
  • ISO 27701 privacy information management
  • Cloud security certifications (CSA STAR)

3.2 Customer Audit Rights

  • Annual third-party audit reports sharing
  • Customer audit rights upon reasonable notice
  • Questionnaire completion for customer assessments
  • Remediation of identified compliance gaps

4. EXPORT CONTROL AND SANCTIONS

4.1 Export Administration Regulations

  • AI technology export control classification
  • Customer screening against restricted party lists
  • Dual-use technology transfer restrictions
  • Regular compliance program updates

4.2 Economic Sanctions Compliance

  • OFAC sanctions screening procedures
  • Blocked person and entity identification
  • Geographic restriction implementation
  • Ongoing monitoring and compliance reporting

This legal framework is provided for informational purposes and should be reviewed by qualified legal counsel before implementation. Laws and regulations vary by jurisdiction and change frequently.

Contact Information: Legal Department: legal@flowbridgeai.com Privacy Officer: privacy@flowbridgeai.com Security Team: security@flowbridgeai.com

Document Version: 1.0 Last Updated: September 2, 2025

Next Review Date: March 2, 2026