Kayako Workforce Training Bot Chatbot Guide | Step-by-Step Setup

The manufacturing sector is undergoing a digital transformation where intelligent automation is no longer a luxury but a necessity for survival. Kayako platforms serve as the central nervous system for countless training operations, yet they often become bottlenecks due to manual intervention requirements. Industry data reveals that organizations using Kayako for Workforce Training Bot processes spend approximately 15 hours per week on repetitive administrative tasks that could be fully automated. This represents a massive productivity drain that directly impacts operational efficiency and training consistency across manufacturing environments.

The fundamental limitation lies in Kayako's native functionality – while excellent for data storage and basic workflow management, it lacks the intelligent automation capabilities required for modern Workforce Training Bot excellence. This is where AI-powered chatbot integration creates transformative value. By connecting Conferbot's advanced AI chatbot platform to Kayako, manufacturers achieve seamless automation of training assignments, completion tracking, certification management, and compliance reporting. The synergy between Kayako's structured data environment and AI's cognitive capabilities creates a powerful ecosystem where training processes self-optimize based on real-time operational data and employee performance metrics.

Industry leaders report 94% average productivity improvement when implementing Kayako Workforce Training Bot chatbots, with some organizations achieving complete automation of their training compliance reporting and certification renewal processes. The most significant gains come from eliminating manual data entry errors, reducing training assignment processing time from hours to seconds, and ensuring 24/7 availability for workforce training needs regardless of shift patterns or time zones. This level of automation transforms Kayako from a passive record-keeping system into an active, intelligent training management platform that proactively identifies skill gaps, recommends training interventions, and automatically maintains compliance documentation.

The future of Workforce Training Bot management lies in AI-driven platforms that integrate seamlessly with existing Kayako investments. Organizations that embrace this integration gain competitive advantages through faster onboarding, reduced compliance risks, and consistently higher workforce competency levels. As manufacturing becomes increasingly complex with evolving technologies and regulations, the ability to automate and optimize training processes through Kayako chatbot integration becomes the differentiator between industry leaders and followers.

Manufacturing organizations face persistent challenges in managing Workforce Training Bot processes through Kayako systems. Manual data entry and processing inefficiencies consume countless hours as training administrators transfer information between spreadsheets, email systems, and Kayako databases. This manual intervention creates significant bottlenecks, particularly during peak training periods or compliance audits. The time-consuming nature of these repetitive tasks severely limits the strategic value that training teams can deliver, keeping them mired in administrative work rather than focusing on workforce development initiatives.

Human error rates represent another critical challenge, with data entry mistakes leading to incorrect training assignments, missed certification renewals, and compliance documentation errors. These errors can have serious consequences including regulatory penalties, production downtime, and safety incidents. Additionally, traditional Kayako implementations face severe scaling limitations when training volumes increase due to seasonal hiring, new facility openings, or expanded compliance requirements. The manual processes simply cannot scale efficiently, leading to delayed training completions and competency gaps on production floors.

Perhaps the most significant limitation is the 24/7 availability challenge for global manufacturing operations. With multiple shifts, weekend operations, and distributed facilities, training needs arise constantly outside standard business hours. Without AI automation, these requests queue until human administrators return, creating delays that impact production schedules and safety compliance. These collective challenges create a perfect storm of inefficiency that undermines the strategic value of Workforce Training Bot investments and prevents organizations from achieving optimal operational performance.

While Kayako provides robust data management capabilities, its native functionality presents several limitations for modern Workforce Training Bot automation. Static workflow constraints prevent adaptive responses to changing training requirements or unexpected events. The platform requires predefined rules and procedures that cannot accommodate the dynamic nature of manufacturing environments where training needs evolve rapidly based on production changes, quality issues, or safety incidents.

The manual trigger requirements for Kayako automation represent another significant limitation. Most advanced Workforce Training Bot workflows require human intervention to initiate processes, monitor completions, and handle exceptions. This dependency on manual oversight eliminates the possibility of true end-to-end automation and creates consistent bottlenecks in training delivery. Additionally, the complex setup procedures for advanced Kayako workflows often require specialized technical expertise that training departments lack, forcing them to rely on IT resources for even minor workflow modifications.

Perhaps the most critical limitation is Kayako's lack of intelligent decision-making capabilities. The platform cannot analyze training effectiveness, identify skill gaps, or recommend personalized training paths based on individual performance data. Without AI enhancement, Kayako functions primarily as a record-keeping system rather than an intelligent training optimization platform. This fundamental limitation prevents organizations from maximizing their training ROI and developing workforce capabilities strategically.

Manufacturing organizations face substantial data synchronization complexity when integrating Kayako with other critical systems such as HR platforms, learning management systems, production monitoring tools, and compliance databases. This integration challenge creates data silos where training information exists in isolation from operational performance metrics, preventing holistic workforce development strategies. The manual data transfer processes between these systems introduce consistency errors and create version control issues that undermine data integrity.

Workflow orchestration difficulties emerge when training processes span multiple platforms and departments. Kayako alone cannot coordinate the complex interactions between scheduling systems, training content repositories, assessment platforms, and certification authorities. This fragmentation creates process gaps where training initiatives lose momentum between systems, requiring manual follow-up and intervention to maintain progress. The resulting performance bottlenecks limit Kayako's effectiveness as a centralized training management platform.

As organizations grow, they face maintenance overhead and technical debt accumulation from custom integrations and workarounds developed to bridge Kayako's functionality gaps. These temporary solutions become permanent liabilities that require ongoing support and create upgrade compatibility issues. The cost scaling issues become particularly problematic as training requirements grow, with manual processes requiring proportional increases in administrative staff rather than leveraging automation to maintain efficiency at scale.

The implementation journey begins with a comprehensive current Kayako Workforce Training Bot process audit and analysis. This assessment phase involves mapping all existing training workflows, identifying pain points, and quantifying inefficiencies through metrics such as processing time, error rates, and resource utilization. Technical teams conduct a thorough examination of Kayako configuration, data structures, API capabilities, and integration points with other enterprise systems. This diagnostic approach ensures the chatbot implementation addresses specific operational challenges rather than providing generic automation solutions.

The ROI calculation methodology specific to Kayako chatbot automation involves analyzing both quantitative and qualitative benefits. Quantitative metrics include reduced administrative hours, decreased error remediation costs, improved training compliance rates, and reduced downtime from competency gaps. Qualitative benefits encompass improved employee satisfaction, enhanced safety performance, better audit readiness, and increased organizational agility. This comprehensive ROI analysis justifies the implementation investment and establishes clear success metrics for post-deployment evaluation.

Technical prerequisites and Kayako integration requirements include API accessibility, authentication protocols, data field mapping specifications, and security compliance considerations. The assessment team evaluates Kayako's custom field structure, workflow automation capabilities, and reporting frameworks to ensure seamless chatbot integration. Team preparation involves identifying stakeholders from training, IT, operations, and compliance departments, establishing governance structures, and developing change management strategies to ensure smooth adoption across the organization.

During the design phase, conversational flow design is optimized specifically for Kayako Workforce Training Bot workflows. This involves creating natural language interactions that guide users through complex training processes while maintaining context across multiple steps. The design incorporates Kayako-specific terminology and process logic to ensure familiarity and consistency for existing users. AI training data preparation utilizes historical Kayako patterns, including common user queries, process exceptions, and resolution pathways, to create intelligent conversation models that understand manufacturing-specific training scenarios.

The integration architecture design establishes seamless Kayako connectivity through secure API connections, webhook configurations, and data synchronization protocols. This architecture ensures real-time bidirectional data flow between Conferbot's AI platform and Kayako's database, maintaining data consistency across both systems. Multi-channel deployment strategy extends chatbot accessibility beyond Kayako to include mobile devices, messaging platforms, and production floor terminals, ensuring workforce accessibility regardless of location or work context.

Performance benchmarking establishes baseline metrics for response times, process completion rates, user satisfaction scores, and error reduction targets. These benchmarks guide the optimization process and provide measurable goals for implementation success. The design phase concludes with comprehensive documentation of conversation flows, integration specifications, security protocols, and performance expectations that guide the subsequent deployment phase.

The phased rollout strategy begins with a pilot group of users and processes to validate functionality, identify adjustment needs, and build confidence before enterprise-wide deployment. This approach minimizes disruption to existing Kayako operations and allows for iterative improvements based on real-world feedback. Change management strategies include communication plans, training materials, and support structures that help users transition from manual processes to automated chatbot interactions.

User training and onboarding focuses on practical application within existing Kayako workflows, demonstrating how chatbot interactions simplify complex processes and reduce administrative burden. Training emphasizes the conversational nature of AI interactions, teaching users how to phrase requests naturally and leverage the chatbot's capabilities effectively. Real-time monitoring tracks performance metrics, user adoption rates, and process completion times, providing data-driven insights for continuous optimization.

Continuous AI learning mechanisms ensure the chatbot improves over time by analyzing Kayako interactions, identifying patterns, and adapting to evolving training requirements. This learning capability transforms the chatbot from a static automation tool into an intelligent training partner that anticipates needs and recommends optimizations. The deployment phase concludes with comprehensive success measurement against established benchmarks and the development of scaling strategies for expanding chatbot capabilities to additional Workforce Training Bot processes.

The technical implementation begins with API authentication and secure Kayako connection establishment using OAuth 2.0 protocols or API keys, depending on Kayako's security requirements. This connection establishes a secure tunnel between Conferbot's AI platform and Kayako's REST API endpoints, ensuring encrypted data transmission and compliance with enterprise security standards. The configuration includes rate limiting, connection pooling, and timeout settings optimized for Kayako's API performance characteristics to ensure reliable operation under varying load conditions.

Data mapping and field synchronization involves creating precise correspondence between Kayako's custom field structure and the chatbot's conversation parameters. This mapping ensures that training requests, completion statuses, certification details, and compliance documentation flow seamlessly between systems without manual intervention. The implementation includes validation rules that verify data integrity at both ends of the integration, preventing synchronization errors and maintaining consistent information across platforms.

Webhook configuration establishes real-time Kayako event processing for immediate response to training triggers such as new hire registrations, certification expirations, or compliance requirement changes. These webhooks enable proactive chatbot interventions that initiate training processes before they become urgent issues. Error handling and failover mechanisms include automatic retry protocols, dead letter queues for unresolved events, and alert systems for integration issues, ensuring Kayako reliability even during system maintenance or connectivity interruptions.

Conditional logic and decision trees enable complex Workforce Training Bot scenarios where chatbot responses adapt based on user roles, training histories, compliance requirements, and operational contexts. These advanced workflows handle multi-step processes such as new equipment certification, safety procedure updates, or quality standard revisions that require coordinated actions across multiple systems and departments. The logic incorporates business rules specific to manufacturing environments, including regulatory requirements, production schedules, and competency standards.

Multi-step workflow orchestration coordinates actions across Kayako and other enterprise systems including HR platforms, learning management systems, scheduling tools, and compliance databases. This orchestration ensures that training initiatives progress smoothly through all required steps without manual intervention, from initial assignment through completion verification and documentation archiving. Custom business rules implement organization-specific policies for training prioritization, exception handling, and escalation procedures that reflect unique operational requirements and risk profiles.

Exception handling procedures address Workforce Training Bot edge cases such as training failures, compliance violations, instructor unavailability, or system outages. These procedures include automated escalation paths, alternative training delivery methods, and compensatory control implementations that maintain training integrity despite unexpected challenges. Performance optimization techniques ensure high-volume Kayako processing through query optimization, data caching, asynchronous processing, and load balancing across multiple API endpoints.

Comprehensive testing frameworks validate Kayako Workforce Training Bot scenarios across all possible user interactions, system responses, and exception conditions. Testing includes unit tests for individual conversation components, integration tests for Kayako API interactions, and end-to-end tests for complete training workflows. Test scenarios incorporate realistic manufacturing contexts including shift changes, production pressures, and compliance deadlines to ensure the chatbot performs reliably under actual operating conditions.

User acceptance testing engages Kayako stakeholders from training, operations, compliance, and IT departments to validate that the chatbot meets functional requirements and delivers intuitive user experiences. This testing phase identifies usability issues, terminology mismatches, and workflow gaps that might not be apparent in technical testing alone. Performance testing subjects the integration to realistic Kayako load conditions simulating peak training periods, mass hiring events, and compliance audit scenarios to verify system stability and response times.

Security testing validates authentication mechanisms, data encryption standards, access control policies, and audit trail completeness to ensure Kayako compliance requirements are met. This testing includes penetration testing, vulnerability scanning, and compliance verification against industry standards such as ISO 27001, SOC 2, and manufacturing-specific regulatory frameworks. The testing phase concludes with a go-live readiness checklist that confirms all technical, functional, and security requirements have been met before production deployment.

Machine learning optimization analyzes historical Kayako Workforce Training Bot patterns to identify efficiency opportunities, predict training needs, and recommend process improvements. The AI engine examines completion rates, assessment scores, and competency development trajectories to personalize training approaches for individual learners and work groups. This continuous optimization ensures that training delivery becomes increasingly effective over time as the system learns from thousands of interactions and outcomes.

Predictive analytics capabilities anticipate training requirements before they become urgent needs, automatically scheduling refresher courses before certifications expire, recommending skill development based on production changes, and identifying potential compliance gaps based on regulatory updates. These proactive interventions transform training from a reactive compliance activity into a strategic capability development function. Natural language processing enables sophisticated Kayako data interpretation, allowing the chatbot to understand unstructured training requests, parse complex compliance documentation, and extract meaningful insights from training feedback and assessment results.

Intelligent routing and decision-making capabilities handle complex Workforce Training Bot scenarios that require coordination between multiple systems, departments, and stakeholders. The AI determines optimal training delivery methods, schedules sessions based on production availability, assigns instructors based on competency matches, and selects assessment approaches tailored to specific learning objectives. This intelligent orchestration ensures that training resources are deployed efficiently and effectively across the organization.

Unified chatbot experience maintains consistent functionality and context across Kayako and external channels including mobile apps, messaging platforms, production floor terminals, and wearable devices. This consistency ensures that workforce members receive the same high-quality training support regardless of how they access the system, eliminating channel-specific learning curves and interface inconsistencies. Seamless context switching enables users to transition between channels without losing conversation history or process progress, supporting the mobile nature of manufacturing work where employees move between offices, production areas, and remote locations.

Mobile optimization ensures Kayako Workforce Training Bot workflows function perfectly on smartphones and tablets with interface adaptations for smaller screens, touch interactions, and intermittent connectivity. This mobile capability is particularly valuable for production floor personnel who need immediate access to training information, procedural guidance, or compliance documentation without returning to desktop workstations. Voice integration enables hands-free Kayako operation through speech recognition and text-to-speech capabilities, allowing workers to access training resources while performing tasks that require both hands or visual attention.

Custom UI/UX design tailors the chatbot interface to Kayako-specific requirements with manufacturing terminology, process-specific conversation flows, and industry-standard visual elements. This customization ensures that the chatbot feels like a natural extension of existing Kayako workflows rather than a separate system, accelerating adoption and reducing training requirements. The interface incorporates accessibility standards to ensure all workforce members can benefit from AI assistance regardless of physical abilities or technical proficiency.

Real-time dashboards provide comprehensive visibility into Kayako Workforce Training Bot performance with metrics covering process completion rates, user satisfaction scores, error reduction percentages, and efficiency gains. These dashboards enable training managers to monitor chatbot effectiveness, identify improvement opportunities, and demonstrate ROI to organizational leadership. Custom KPI tracking measures business-specific metrics such as time-to-competency, compliance gap reduction, production quality improvements, and safety incident prevention attributable to enhanced training capabilities.

ROI measurement capabilities calculate the financial impact of Kayako chatbot automation through reduced administrative costs, decreased compliance penalties, improved production efficiency, and reduced downtime from skill gaps. These calculations provide concrete evidence of value generation that justifies ongoing investment in AI enhancement of training processes. User behavior analytics identify patterns in how different workforce segments interact with training resources, enabling personalized support approaches and targeted improvements to conversation design.

Compliance reporting automates the generation of audit-ready documentation that demonstrates training completeness, certification validity, and regulatory adherence. These reports reduce the preparation time for compliance audits from weeks to hours while improving accuracy and completeness through automated data collection and validation. The analytics capabilities transform Kayako from a passive record-keeping system into an active intelligence platform that drives continuous improvement in workforce development strategies.

A global automotive manufacturer faced significant challenges managing training across 12 production facilities with 8,000 employees using Kayako as their primary training management platform. The company struggled with manual processes consuming over 200 hours weekly on training assignments, completion tracking, and compliance reporting. Their implementation involved integrating Conferbot's AI chatbot with Kayako to automate the entire training lifecycle from assignment through certification.

The technical architecture established bidirectional synchronization between Kayako and multiple HR systems, production monitoring platforms, and quality management systems. The chatbot handled complex conditional logic based on job roles, production requirements, and compliance deadlines. Within 60 days, the implementation achieved 85% reduction in administrative time, 97% training compliance rate (up from 78%), and complete elimination of certification expiration incidents. The ROI exceeded 400% in the first year through reduced administrative costs and improved production quality.

A mid-sized aerospace components manufacturer with 500 employees needed to scale their Kayako-based training processes to accommodate rapid growth and increasing regulatory requirements. Their manual processes created bottlenecks that delayed new hire productivity and increased compliance risks. The Conferbot implementation focused on automating training assignments based on production schedules, competency assessments, and regulatory changes.

The solution integrated Kayako with their production planning system, enabling the chatbot to schedule training during natural production gaps rather than disrupting operations. Advanced analytics identified skill gaps before they impacted quality metrics, allowing proactive training interventions. Results included 94% reduction in training assignment processing time, 40% faster new hire competency achievement, and 100% audit readiness at all times. The company achieved these results with no increase in training staff despite doubling production volume.

A pharmaceutical manufacturer subject to strict FDA regulations implemented Conferbot's AI chatbot to enhance their Kayako-based training compliance processes. The implementation required sophisticated validation protocols, audit trail completeness, and change control procedures that met regulatory scrutiny. The chatbot handled complex conditional logic based on Good Manufacturing Practice (GMP) requirements, validation protocols, and compliance documentation standards.

The solution automated training assignments for standard operating procedure updates, quality incident responses, and regulatory change implementations. The AI capabilities ensured training content matched individual roles, responsibilities, and competency levels with precision that manual processes could never achieve. The implementation resulted in zero training-related compliance findings during FDA audits, 80% reduction in training-related documentation time, and significantly faster implementation of critical process changes across manufacturing operations.

Begin your transformation with a comprehensive Kayako Workforce Training Bot process evaluation conducted by Conferbot's Kayako implementation specialists. This assessment analyzes your current training workflows, identifies automation opportunities, and quantifies potential efficiency gains specific to your Kayako configuration. The assessment includes technical compatibility verification, security requirement analysis, and integration complexity assessment to ensure successful implementation.

The technical readiness assessment examines your Kayako API accessibility, custom field structures, workflow automation capabilities, and integration points with other enterprise systems. This analysis identifies any prerequisites or modifications needed for optimal chatbot integration. The ROI projection develops a detailed business case showing expected efficiency improvements, cost reductions, compliance enhancements, and productivity gains based on your specific operational metrics and training volumes.

The assessment concludes with a custom implementation roadmap that outlines phased deployment approach, resource requirements, timeline expectations, and success metrics. This roadmap serves as your strategic guide for Kayako chatbot implementation, ensuring alignment between technical capabilities and business objectives throughout the transformation journey.

Conferbot provides dedicated Kayako project management with certified specialists who understand both manufacturing training requirements and Kayako technical capabilities. This team manages your implementation from initial configuration through go-live and optimization, ensuring seamless integration with your existing Kayako investment. The implementation follows best practices developed through hundreds of successful Kayako deployments across manufacturing environments.

Start with a 14-day trial using Kayako-optimized Workforce Training Bot templates that automate common training processes such as new hire orientations, certification renewals, compliance updates, and skill assessments. These pre-built templates accelerate your time-to-value while providing a foundation for custom workflow development. Expert training and certification ensures your team develops the skills needed to manage, optimize, and expand chatbot capabilities as your training requirements evolve.

Ongoing optimization services include performance monitoring, usage analytics, conversation tuning, and feature enhancement recommendations that ensure your Kayako chatbot continues to deliver maximum value as your business changes. This continuous improvement approach transforms your implementation from a one-time project into an evolving capability that drives increasing efficiency over time.

Schedule a consultation with Kayako specialists to discuss your specific Workforce Training Bot challenges and explore automation opportunities. This consultation provides personalized recommendations based on your Kayako configuration, training volumes, and business objectives. Develop a pilot project plan that targets high-value, low-complexity processes for initial implementation, delivering quick wins that build momentum for broader deployment.

Establish success criteria for your pilot project with measurable metrics covering efficiency gains, error reduction, user satisfaction, and ROI achievement. These criteria ensure your implementation delivers tangible business value from the beginning. Plan your full deployment strategy with phased expansion across additional training processes, user groups, and manufacturing facilities based on pilot results and organizational priorities.

Finally, establish a long-term partnership for ongoing Kayako growth support, including regular performance reviews, new feature implementations, and strategic planning for expanding AI capabilities across your training ecosystem. This partnership approach ensures your Kayako investment continues to deliver increasing value as your manufacturing operations evolve and grow.

How do I connect Kayako to Conferbot for Workforce Training Bot automation?

Connecting Kayako to Conferbot begins with establishing API authentication through OAuth 2.0 or API keys, depending on your Kayako security configuration. The process involves creating a dedicated service account in Kayako with appropriate permissions for reading and writing training data, managing workflows, and accessing reporting functions. Our implementation team guides you through the precise field mapping between Kayako's custom data structure and Conferbot's conversation parameters, ensuring seamless data synchronization. Common integration challenges include permission configuration, field type compatibility, and API rate limiting, all of which our Kayako specialists address through established best practices. The connection process typically completes within hours rather than days thanks to Conferbot's native Kayako integration capabilities, with full testing and validation ensuring reliable operation before go-live.

What Workforce Training Bot processes work best with Kayako chatbot integration?

The most effective processes for Kayako chatbot integration share common characteristics: high volume, repetitive nature, compliance sensitivity, and multi-step workflows. Optimal candidates include new hire training assignments, certification renewals, compliance requirement updates, safety procedure training, and quality standard implementations. Processes with complex conditional logic based on job roles, production requirements, or regulatory standards particularly benefit from AI automation. Before implementation, we conduct a process complexity assessment evaluating volume, variability, exception frequency, and integration requirements to determine chatbot suitability. Highest ROI typically comes from processes currently consuming significant administrative time, requiring manual data transfer between systems, or suffering from consistency issues due to human error. Best practices involve starting with well-defined processes having clear success metrics before expanding to more complex training scenarios.

How much does Kayako Workforce Training Bot chatbot implementation cost?

Implementation costs vary based on process complexity, integration requirements, and customization needs, but typically range from $15,000 to $50,000 for comprehensive Workforce Training Bot automation. This investment includes technical configuration, API integration, conversation design, testing validation, and user training. The ROI timeline generally shows payback within 3-6 months through reduced administrative costs, improved compliance, and productivity gains. Our cost breakdown includes transparent pricing for initial implementation, ongoing support, and future enhancements without hidden fees. Compared to building custom Kayako integrations internally or using alternative platforms, Conferbot delivers significantly lower total cost of ownership due to native integration capabilities, pre-built templates, and expert implementation services. Budget planning includes phased investment options aligned with value realization from initial process automation through enterprise-wide deployment.

Do you provide ongoing support for Kayako integration and optimization?

Conferbot provides comprehensive ongoing support through a dedicated team of Kayako specialists with deep manufacturing training expertise. Our support includes 24/7 monitoring of integration performance, regular optimization reviews, and proactive updates for Kayako API changes. The support team includes technical experts for integration maintenance, conversation designers for workflow improvements, and analytics specialists for performance optimization. Ongoing services include usage reporting, ROI tracking, and strategic planning for expanding automation capabilities. We offer training resources and certification programs that enable your team to manage day-to-day chatbot operations while leveraging our expertise for complex enhancements and troubleshooting. This long-term partnership approach ensures your Kayako investment continues delivering value as your training requirements evolve and manufacturing operations grow.

How do Conferbot's Workforce Training Bot chatbots enhance existing Kayako workflows?

Conferbot's AI chatbots transform Kayako from a passive record-keeping system into an intelligent training automation platform through several enhancement capabilities. Natural language processing enables conversational interactions that guide users through complex training processes without navigating Kayako's interface directly. Machine learning algorithms analyze historical training patterns to optimize assignment timing, delivery methods, and content personalization. Advanced integration capabilities connect Kayako with other enterprise systems including HR platforms, production monitoring tools, and compliance databases, creating a unified training ecosystem. The chatbots provide 24/7 availability for training requests, status inquiries, and compliance documentation outside business hours. These enhancements future-proof your Kayako investment by adding AI capabilities that scale efficiently as training volumes increase and requirements evolve, ensuring ongoing ROI from your workforce development initiatives.