Data was dispersed across multiple platforms, including WordPress CMS, Microsoft SharePoint, Office 365, CRM systems, and internal applications.
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A leading energy-focused non-profit organization aimed to improve its customer support and internal knowledge management by implementing an AI-powered Knowledge Assistant. The organization provides expert advice and services to individuals, businesses, and government entities to promote energy efficiency and sustainability. To enhance the accessibility and accuracy of its information delivery, the non-profit partnered with VE3 to deploy an AI-driven solution that seamlessly integrates with its existing digital ecosystem.
Data was dispersed across multiple platforms, including WordPress CMS, Microsoft SharePoint, Office 365, CRM systems, and internal applications.
Customers and contracted advisors struggled to find accurate information quickly, leading to delays and inconsistent responses.
The organization needed a solution that adhered to GDPR, HIPAA, and the EU AI Act.
The AI solution had to support multiple languages and comply with accessibility standards such as WCAG and Section 508.
Established clear objectives, refined requirements, and developed a comprehensive project plan.
Designed a robust architecture that integrated seamlessly with the organization’s existing digital assets, incorporating NLP customization for complex queries and role-based access controls.
Conducted unit testing, system integration testing, user acceptance testing, and accessibility compliance checks.
Deployed the AI Assistant on the organization’s Azure cloud infrastructure and provided extensive training for internal teams and contracted advisors.
Launched the system with dedicated post-implementation support, performance monitoring, and scheduled maintenance updates.
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VE3 partnered with a leading energy-focused non-profit to transform customer support and knowledge management by implementing a tailored AI-powered Knowledge Assistant. The solution unified dispersed data sources and delivered fast, accurate responses to both customers and internal advisors, significantly reducing query resolution times and boosting satisfaction. The implementation seamlessly integrated with existing systems while meeting regulatory and accessibility requirements, resulting in enhanced workflows, improved customer experience, and a foundation for continuous AI-driven improvements.
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