.png)
AI is Shipping Faster Than Governance Can Keep Up.
☐ Update risk register in Excel spreadsheet
☑ Email stakeholders for approval status
☐ Check EU AI Act compliance manually
☑ Follow up on pending approvals via email
☐ Update project documentation in Word
☐ Review data sources and permissions
☑ Validate GDPR compliance status
☐ Cross-check for duplicate AI projects
☑ Update compliance tracker spreadsheet
☐ Schedule quarterly review meeting
☐ Prepare audit documentation package
☑ Gather evidence for regulatory audit
☐ Compile risk assessment reports
☑ Flag resource redundancies in tracker
☐ Calculate project ROI manually
☐ Update executive dashboard slides
☑ Prepare presentation for board meeting
☐ Assess resource overlap issues
☑ Schedule stakeholder alignment meeting
☐ Create compliance training materials
☐ Monitor for model drift indicators
☑ Update policy documentation
☐ Review security protocols checklist
☑ Check data lineage records
☐ Validate training data sources
☐ Update vendor risk assessment
☑ Review third-party AI contracts
☐ Schedule privacy impact assessment
☐ Update incident response procedures
☑ Review model performance metrics
☐ Check bias testing results
☐ Update algorithmic transparency report
☑ Review consent management processes
☐ Update data retention policies
☐ Schedule ethics committee review
☑ Review automated decision-making logs
☐ Update risk mitigation strategies
☐ Check model explainability requirements
☑ Review human oversight procedures
☐ Update AI system documentation
☐ Schedule compliance training session
☑ Review data protection measures
☐ Update incident reporting procedures
☐ Check regulatory change notifications
☑ Review audit trail completeness
☐ Update business continuity plans
☐ Schedule vendor assessment meeting
☑ Review model governance framework
☐ Update risk appetite statement
☐ Check compliance monitoring dashboard
☐ Update model inventory spreadsheet
☑ Review AI ethics guidelines
☐ Schedule risk committee meeting
☐ Update data processing agreements
☑ Review model validation procedures
☐ Check algorithmic accountability measures
☐ Update AI governance charter
☑ Review third-party risk assessments
☐ Schedule model performance review
☐ Update regulatory compliance matrix
☑ Review AI system impact assessments
☐ Check model monitoring dashboards
☐ Update vendor management procedures
☑ Review data quality metrics
☐ Schedule compliance audit preparation
☐ Update AI risk taxonomy
☑ Review model documentation standards
☐ Check bias detection procedures
☐ Update AI incident response plan
☑ Review algorithmic transparency requirements
☐ Schedule stakeholder training session
☐ Update model lifecycle procedures
☑ Review AI governance policies
☐ Check regulatory reporting requirements
☐ Update risk assessment templates
☑ Review model approval workflows
☐ Schedule quarterly governance review
☐ Update AI system cataloging
☑ Review data governance procedures
☐ Check model deployment checklist
☐ Update compliance monitoring procedures
☑ Review AI ethics training materials
☐ Schedule model retirement planning
☐ Update regulatory change tracking
☑ Review third-party AI tool assessments
☐ Check model performance thresholds
☐ Update AI procurement guidelines
☑ Review algorithmic decision audit trails
☐ Schedule governance framework review
☐ Update model risk scoring methodology
☑ Review AI system security assessments
☐ Check data provenance documentation
☐ Update AI compliance reporting templates
☑ Review model validation test results
☐ Schedule ethics committee consultation
☐ Update AI governance communication plan
☑ Review automated monitoring alerts
☐ Check model fairness evaluation results
☐ Update AI risk mitigation procedures
☑ Review third-party AI service agreements
☐ Schedule model governance training
☐ Update AI system change management
☑ Review regulatory compliance dashboard
☐ Check model explainability documentation
☐ Update AI governance metrics tracking
☑ Review data subject rights procedures
☐ Schedule AI governance steering committee
☐ Update model testing procedures
☑ Review AI system access controls
☐ Check regulatory submission deadlines
☐ Update AI governance knowledge base
☑ Review model performance benchmarks
☐ Schedule AI safety assessment
☐ Update algorithmic audit procedures
☑ Review data annotation guidelines
☐ Check model versioning compliance
☐ Update AI system user training
☑ Review automated testing protocols
☐ Schedule model retraining evaluation
☐ Update AI procurement checklist
☑ Review third-party AI tool licenses
☐ Check model drift detection rules
☐ Update AI governance roles matrix
☑ Review data pipeline security
☐ Schedule compliance officer meeting
☐ Update model approval templates
☑ Review AI system health checks
☐ Check regulatory framework updates
☐ Update AI ethics review process
☑ Review model training data quality
☐ Schedule algorithmic bias testing
☐ Update AI system disaster recovery
☑ Review model interpretability standards
☐ Check data retention compliance
☐ Update AI governance communication
☑ Review automated decision logs
☐ Schedule model validation workshop
☐ Update AI risk assessment forms
☑ Review third-party integration security
☐ Check model deployment permissions
☐ Update AI system monitoring alerts
☑ Review data subject consent tracking
☐ Schedule AI governance training
☐ Update model lifecycle documentation
☑ Review algorithmic transparency reports
☐ Check AI system resource allocation
☐ Update compliance monitoring dashboard
☑ Review model testing environments
☐ Schedule regulatory compliance review
☐ Update AI governance policy templates
☑ Review data processing impact assessments
☐ Check model performance thresholds
☐ Update AI system change logs
☑ Review third-party AI service audits
☐ Schedule model retirement procedures
☐ Update AI governance metrics dashboard
☑ Review automated monitoring systems
☐ Check regulatory reporting schedules
☐ Update AI system access permissions
☑ Review model validation test cases
☐ Schedule AI ethics committee review
☐ Update algorithmic accountability framework
☑ Review data governance standards
☐ Check model deployment checklists
☐ Update AI system incident procedures
☑ Review third-party risk assessments
☐ Schedule model performance evaluation
☐ Update AI governance training materials
☑ Review automated alert configurations
☐ Check regulatory change notifications
☐ Update AI system documentation standards
☑ Review model testing protocols
☐ Schedule compliance audit preparation
☐ Update AI risk mitigation strategies
☑ Review data quality assurance procedures
☐ Check model approval workflows
☐ Update AI governance communication plan
☑ Review algorithmic decision audit trails
☐ Schedule AI safety review meeting
☐ Update model monitoring procedures
☑ Review third-party AI tool compliance
☐ Check data lineage documentation
☐ Update AI system security protocols
☑ Review model fairness evaluation metrics
☐ Schedule quarterly governance assessment
☐ Update AI compliance reporting templates
☑ Review algorithmic decision audit procedures
☐ Check model validation documentation
☐ Update AI governance process documentation
☑ Review third-party risk assessment updates
☐ Schedule AI ethics review session
☐ Update model monitoring alert systems
☑ Review data governance compliance checks
☐ Check AI system access audit logs
☐ Update algorithmic transparency documentation
☑ Review model testing compliance procedures
☐ Schedule quarterly compliance review
☐ Update AI governance knowledge management
☑ Review automated model validation systems
☐ Check regulatory change impact assessment
☐ Update AI system security compliance
☑ Review third-party AI tool governance
☐ Schedule model performance review meeting
☐ Update AI governance communication protocols
☑ Review data pipeline security compliance
☐ Check model approval documentation
☐ Update AI system incident management
☑ Review algorithmic bias monitoring systems
☐ Schedule AI governance training workshop
☐ Update model lifecycle compliance procedures
☑ Review third-party service governance
☐ Check data subject rights compliance
☐ Update AI system monitoring procedures
☑ Review automated compliance monitoring
☐ Schedule model validation workshop
☐ Update AI governance framework documentation
☑ Review data quality assurance compliance
☐ Check model deployment compliance
☐ Update AI system change management procedures
☑ Review third-party AI vendor governance
☐ Schedule compliance officer review
☐ Update AI governance policy compliance
☑ Review model testing governance procedures
☐ Check algorithmic transparency compliance
☐ Update AI system documentation compliance
☑ Review data governance monitoring systems
☐ Schedule AI safety compliance review
☐ Update model validation governance
☑ Review third-party risk governance
☐ Check regulatory compliance documentation
☐ Update AI governance training compliance
☑ Review automated decision governance
☐ Schedule model performance governance review
☐ Update AI system security governance
☑ Review data processing governance compliance
☐ Check model approval governance
☐ Update AI governance metrics compliance
☑ Review third-party AI service governance
☐ Schedule AI ethics governance review
☐ Update algorithmic accountability governance
☑ Review model monitoring governance systems
☐ Check data retention governance compliance
☐ Update AI system incident governance
☑ Review automated testing governance
☐ Schedule compliance governance assessment
☐ Update AI governance framework compliance
☑ Review model fairness governance procedures
☐ Check third-party governance compliance
☐ Update AI system change governance
☑ Review data quality governance systems
☐ Schedule model governance compliance review
☐ Update AI compliance governance reporting
☐ Update risk register in Excel spreadsheet
☑ Email stakeholders for approval status
☐ Check EU AI Act compliance manually
☑ Follow up on pending approvals via email
☐ Update project documentation in Word
☐ Review data sources and permissions
☑ Validate GDPR compliance status
☐ Cross-check for duplicate AI projects
☑ Update compliance tracker spreadsheet
☐ Schedule quarterly review meeting
☐ Prepare audit documentation package
☑ Gather evidence for regulatory audit
☐ Compile risk assessment reports
☑ Flag resource redundancies in tracker
☐ Calculate project ROI manually
☐ Update executive dashboard slides
☑ Prepare presentation for board meeting
☐ Assess resource overlap issues
☑ Schedule stakeholder alignment meeting
☐ Create compliance training materials
☐ Monitor for model drift indicators
☑ Update policy documentation
☐ Review security protocols checklist
☑ Check data lineage records
☐ Validate training data sources
☐ Update vendor risk assessment
☑ Review third-party AI contracts
☐ Schedule privacy impact assessment
☐ Update incident response procedures
☑ Review model performance metrics
☐ Check bias testing results
☐ Update algorithmic transparency report
☑ Review consent management processes
☐ Update data retention policies
☐ Schedule ethics committee review
☑ Review automated decision-making logs
☐ Update risk mitigation strategies
☐ Check model explainability requirements
☑ Review human oversight procedures
☐ Update AI system documentation
☐ Schedule compliance training session
☑ Review data protection measures
☐ Update incident reporting procedures
☐ Check regulatory change notifications
☑ Review audit trail completeness
☐ Update business continuity plans
☐ Schedule vendor assessment meeting
☑ Review model governance framework
☐ Update risk appetite statement
☐ Check compliance monitoring dashboard
☐ Update model inventory spreadsheet
☑ Review AI ethics guidelines
☐ Schedule risk committee meeting
☐ Update data processing agreements
☑ Review model validation procedures
☐ Check algorithmic accountability measures
☐ Update AI governance charter
☑ Review third-party risk assessments
☐ Schedule model performance review
☐ Update regulatory compliance matrix
☑ Review AI system impact assessments
☐ Check model monitoring dashboards
☐ Update vendor management procedures
☑ Review data quality metrics
☐ Schedule compliance audit preparation
☐ Update AI risk taxonomy
☑ Review model documentation standards
☐ Check bias detection procedures
☐ Update AI incident response plan
☑ Review algorithmic transparency requirements
☐ Schedule stakeholder training session
☐ Update model lifecycle procedures
☑ Review AI governance policies
☐ Check regulatory reporting requirements
☐ Update risk assessment templates
☑ Review model approval workflows
☐ Schedule quarterly governance review
☐ Update AI system cataloging
☑ Review data governance procedures
☐ Check model deployment checklist
☐ Update compliance monitoring procedures
☑ Review AI ethics training materials
☐ Schedule model retirement planning
☐ Update regulatory change tracking
☑ Review third-party AI tool assessments
☐ Check model performance thresholds
☐ Update AI procurement guidelines
☑ Review algorithmic decision audit trails
☐ Schedule governance framework review
☐ Update model risk scoring methodology
☑ Review AI system security assessments
☐ Check data provenance documentation
☐ Update AI compliance reporting templates
☑ Review model validation test results
☐ Schedule ethics committee consultation
☐ Update AI governance communication plan
☑ Review automated monitoring alerts
☐ Check model fairness evaluation results
☐ Update AI risk mitigation procedures
☑ Review third-party AI service agreements
☐ Schedule model governance training
☐ Update AI system change management
☑ Review regulatory compliance dashboard
☐ Check model explainability documentation
☐ Update AI governance metrics tracking
☑ Review data subject rights procedures
☐ Schedule AI governance steering committee
☐ Update model testing procedures
☑ Review AI system access controls
☐ Check regulatory submission deadlines
☐ Update AI governance knowledge base
☑ Review model performance benchmarks
☐ Schedule AI safety assessment
☐ Update algorithmic audit procedures
☑ Review data annotation guidelines
☐ Check model versioning compliance
☐ Update AI system user training
☑ Review automated testing protocols
☐ Schedule model retraining evaluation
☐ Update AI procurement checklist
☑ Review third-party AI tool licenses
☐ Check model drift detection rules
☐ Update AI governance roles matrix
☑ Review data pipeline security
☐ Schedule compliance officer meeting
☐ Update model approval templates
☑ Review AI system health checks
☐ Check regulatory framework updates
☐ Update AI ethics review process
☑ Review model training data quality
☐ Schedule algorithmic bias testing
☐ Update AI system disaster recovery
☑ Review model interpretability standards
☐ Check data retention compliance
☐ Update AI governance communication
☑ Review automated decision logs
☐ Schedule model validation workshop
☐ Update AI risk assessment forms
☑ Review third-party integration security
☐ Check model deployment permissions
☐ Update AI system monitoring alerts
☑ Review data subject consent tracking
☐ Schedule AI governance training
☐ Update model lifecycle documentation
☑ Review algorithmic transparency reports
☐ Check AI system resource allocation
☐ Update compliance monitoring dashboard
☑ Review model testing environments
☐ Schedule regulatory compliance review
☐ Update AI governance policy templates
☑ Review data processing impact assessments
☐ Check model performance thresholds
☐ Update AI system change logs
☑ Review third-party AI service audits
☐ Schedule model retirement procedures
☐ Update AI governance metrics dashboard
☑ Review automated monitoring systems
☐ Check regulatory reporting schedules
☐ Update AI system access permissions
☑ Review model validation test cases
☐ Schedule AI ethics committee review
☐ Update algorithmic accountability framework
☑ Review data governance standards
☐ Check model deployment checklists
☐ Update AI system incident procedures
☑ Review third-party risk assessments
☐ Schedule model performance evaluation
☐ Update AI governance training materials
☑ Review automated alert configurations
☐ Check regulatory change notifications
☐ Update AI system documentation standards
☑ Review model testing protocols
☐ Schedule compliance audit preparation
☐ Update AI risk mitigation strategies
☑ Review data quality assurance procedures
☐ Check model approval workflows
☐ Update AI governance communication plan
☑ Review algorithmic decision audit trails
☐ Schedule AI safety review meeting
☐ Update model monitoring procedures
☑ Review third-party AI tool compliance
☐ Check data lineage documentation
☐ Update AI system security protocols
☑ Review model fairness evaluation metrics
☐ Schedule quarterly governance assessment
☐ Update AI compliance reporting templates
☑ Review algorithmic decision audit procedures
☐ Check model validation documentation
☐ Update AI governance process documentation
☑ Review third-party risk assessment updates
☐ Schedule AI ethics review session
☐ Update model monitoring alert systems
☑ Review data governance compliance checks
☐ Check AI system access audit logs
☐ Update algorithmic transparency documentation
☑ Review model testing compliance procedures
☐ Schedule quarterly compliance review
☐ Update AI governance knowledge management
☑ Review automated model validation systems
☐ Check regulatory change impact assessment
☐ Update AI system security compliance
☑ Review third-party AI tool governance
☐ Schedule model performance review meeting
☐ Update AI governance communication protocols
☑ Review data pipeline security compliance
☐ Check model approval documentation
☐ Update AI system incident management
☑ Review algorithmic bias monitoring systems
☐ Schedule AI governance training workshop
☐ Update model lifecycle compliance procedures
☑ Review third-party service governance
☐ Check data subject rights compliance
☐ Update AI system monitoring procedures
☑ Review automated compliance monitoring
☐ Schedule model validation workshop
☐ Update AI governance framework documentation
☑ Review data quality assurance compliance
☐ Check model deployment compliance
☐ Update AI system change management procedures
☑ Review third-party AI vendor governance
☐ Schedule compliance officer review
☐ Update AI governance policy compliance
☑ Review model testing governance procedures
☐ Check algorithmic transparency compliance
☐ Update AI system documentation compliance
☑ Review data governance monitoring systems
☐ Schedule AI safety compliance review
☐ Update model validation governance
☑ Review third-party risk governance
☐ Check regulatory compliance documentation
☐ Update AI governance training compliance
☑ Review automated decision governance
☐ Schedule model performance governance review
☐ Update AI system security governance
☑ Review data processing governance compliance
☐ Check model approval governance
☐ Update AI governance metrics compliance
☑ Review third-party AI service governance
☐ Schedule AI ethics governance review
☐ Update algorithmic accountability governance
☑ Review model monitoring governance systems
☐ Check data retention governance compliance
☐ Update AI system incident governance
☑ Review automated testing governance
☐ Schedule compliance governance assessment
☐ Update AI governance framework compliance
☑ Review model fairness governance procedures
☐ Check third-party governance compliance
☐ Update AI system change governance
☑ Review data quality governance systems
☐ Schedule model governance compliance review
☐ Update AI compliance governance reporting
Compliance teams juggle spreadsheets and emails to chase approvals
Risk visibility is fragmented across siloed tools
Duplicate use cases drive cost and reputational risk
Auditors demand evidence you cannot surface on time
Business leaders lack a portfolio-level ROI view
How manageAI Portfolio Solves It
One central registry
Capture every AI asset with owners, data sources, KPIs and risk tier in minutes.
Governance Actions
Trigger risk assessments, policy checks and approvals in your existing tools like Jira, ServiceNow and Azure.
Lifecycle Management
Drag-and-drop stages, SLA timers and e-sign approvals keep stakeholders aligned.
Audit-ready history
Immutable log of decisions, evidence and model metrics – exportable in one click.
Connect With Your Entire Tech Stack
Native integrations with 50+ tools across data, security, ML, and compliance platforms. New integrations added regularly to support your evolving AI governance needs.
