Practivated is an AI-powered fundraising training platform designed to help nonprofit teams and fundraisers prepare for real-world donor conversations with confidence. It uses realistic, voice-to-voice coaching simulations to replicate donor interactions, allowing users to practice, learn, and improve in a safe and controlled environment.
Our team set out to build a realistic and scalable fundraising training platform that could replicate high-stakes donor conversations without real-world risk. We designed AI-powered coaching simulations that use voice-to-voice interactions, enabling fundraisers to practice conversations in real time while maintaining natural flow and contextual accuracy.
To support personalized learning, we implemented dynamic donor personas and a feedback system that mirrors the client’s coaching style in both tone and content. By integrating contextual grounding through vector databases, web crawling for donor research, and flexible subscription controls, we ensured the platform could adapt to individual users, teams, and organizations.
We wanted fundraisers to practice real donor conversations without pressure or risk. Practivated gave us a way to combine realistic simulations, personalized coaching, and AI-driven feedback into one platform that truly prepares teams for high-stakes fundraising moments.
Founder, Practivated
Fundraisers require highly accurate donor behavior to train effectively, but donor expectations, communication styles, and priorities vary widely.
Any disruption in flow could break immersion and reduce the effectiveness of the training experience.
Early AI-generated feedback varied in tone and structure, which risked misalignment with the client’s coaching philosophy.
Fundraisers often needed to pause sessions without losing conversational context. Preserving continuity across interrupted sessions required careful handling of conversations.
Our solution for Practivated focused on creating a realistic and safe training environment where fundraisers could practice donor conversations without real-world pressure. By introducing AI-powered, voice-to-voice simulations, users were able to engage in lifelike donor interactions that reflected real scenarios, helping them build confidence and communication skills through repetition and feedback.
We designed dynamic donor personas supported by contextual grounding through vector databases and web-crawled insights, ensuring each conversation remained relevant and informed. To enhance learning outcomes, we integrated personalized feedback that mirrored the client’s coaching style, delivered through both text and voice, allowing fundraisers to absorb insights naturally.
Finally, we built a scalable foundation with pause-and-resume functionality, flexible subscription models, and role-based access controls. This ensured organizations could train individuals and teams efficiently while maintaining continuity, adaptability, and long-term scalability as training needs evolved.
Fundraisers successfully practiced realistic donor conversations
AI-generated coaching feedback consistently matched the client’s tone & style
Users demonstrated improved readiness and confidence compared to traditional ways
Participants reported higher satisfaction with the realism, flexibility, and effectiveness
The way we helped Practivated simulate real donor conversations, deliver personalized coaching feedback, and support flexible training at scale shows what’s possible with AI-driven learning platforms. By combining voice-to-voice AI, dynamic personas, and contextual intelligence, fundraisers train with confidence before entering high-stakes conversations.
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