How the Testicular Cancer Foundation Scaled Global Support and Increased Engagement with an AI Agent in 90 Days

80% of supporter inquiries were resolved instantly with under two-second response times—ensuring patients and families received timely, reliable guidance when it mattered most.
How: Deployed a VerlyAI-powered AI agent to deliver 24/7 education, triage, and resource navigation across multiple regions.
Impact: Faster answers reduced delays in accessing screening information, support services, and next steps in care.
Timeframe: Implemented and scaled within 90 days.

Introduction

In 90 days, the Testicular Cancer Foundation automated 80% of inbound support requests and increased supporter conversions by 40%.

As a global nonprofit focused on awareness, early detection, and survivor support, the Foundation manages thousands of digital inquiries each year—many of them urgent and deeply personal. Visitors from multiple time zones seek screening guidance, symptom information, and ways to get involved.

When responses lagged 24 to 48 hours, the consequences were significant. Delayed answers to sensitive health questions risked missed early-detection opportunities. Slow follow-ups also reduced donor momentum and volunteer engagement.

Here is how the Foundation deployed an AI agent to expand support capacity, cut response times to under two seconds, and extend global reach—without increasing headcount.

The Challenge

Their inbox was overwhelmed.

Staff struggled to keep up with website forms, email inquiries, and social media messages—many related to screening or symptoms. Responses were thoughtful but inconsistent and often delayed.

Root cause: A small team with limited bandwidth and no scalable 24/7 system for education, triage, or lead capture. Every message required manual review.

Scale of impact: Thousands of annual inquiries, with international traffic increasing year over year. Follow-ups were delayed, and some conversations dropped off entirely.

• What they tried before:
• Static FAQ pages
• Downloadable screening guides
• Manual moderation and outsourced message handling

None of these solutions provided real-time, personalized engagement. Visitors still had to search for answers—or wait.

The tipping point came during a major awareness campaign. Traffic surged, along with inbound questions. The team needed real-time, scalable engagement that could respond immediately and consistently.

The Strategy

The Foundation implemented a VerlyAI conversational agent across its website and high-traffic campaign landing pages.

Why this approach worked:

• Instant, personalized responses
• Guardrails built around vetted medical content
• Seamless CRM integration for donor and volunteer capture

Key decisions included:

• Training on medically reviewed resources to ensure only expert-vetted screening and awareness materials were included in the knowledge base.
• Designing empathetic, stigma-aware flows so conversations felt supportive, private, and judgment-free.
• Integrating directly with their CRM to capture supporter data in real time, contributing to a 40% increase in lead conversion.
• Escalating complex or high-risk cases using sentiment triggers and keyword detection to route sensitive conversations to human staff when appropriate.

Risk mitigation: All medical content was reviewed by experts. Clear disclaimers reinforced that the chatbot provided educational information—not medical diagnosis—and encouraged consultation with healthcare professionals.

The Implementation

The rollout was led by a small internal marketing team in collaboration with VerlyAI’s onboarding specialists. Total timeline: 90 days.

Step-by-step execution:

1. Audit and structure educational content to create a reliable knowledge base.
2. Configure tone and guardrails to ensure empathetic, medically aligned responses.
3. Integrate CRM and analytics tracking for donor, volunteer, and supporter capture.
4. Launch on high-traffic campaign pages where screening intent was highest.
5. Optimize conversation flows based on real user queries and analytics insights.

Tools and technology:

• VerlyAI platform
• CRM integration
• Analytics dashboard with sentiment and topic tracking

Critical moment: Early analytics revealed a high volume of screening-intent queries. The team refined in-chat calls to action, directing users to screening checklists and local resource pages. That adjustment materially increased supporter and volunteer conversions.

The Results

Inquiry resolution increased from approximately 35% manual handling to 80% automated resolution within three months.

Supporting metrics (Before → After):

Average response time: 24–48 hours → Under 2 seconds (reduced from days to seconds).

Resolution rate: Approximately 35% → 80% (+45 percentage points).

Supporter conversion: Baseline → +40% increase.

Global coverage: Limited hours → 24/7 worldwide coverage.

Business impact: The Foundation expanded global support capacity without increasing staff costs, delivered early-detection education instantly across time zones, and reduced manual workload so staff could focus on partnerships and survivor programs.

Timeline: Results were measured within the first 90 days post-launch.

Unexpected benefits included increased engagement from younger demographics who preferred chat-based interaction and a measurable rise in volunteer sign-ups driven by conversational lead capture.

Key Takeaways

1. Response speed directly affects engagement. Immediate answers significantly increase participation in time-sensitive health conversations.
2. Automation requires intentional design. Empathetic tone, medical guardrails, and escalation protocols are essential in sensitive contexts.
3. Conversion pathways should be embedded from day one. Direct CRM integration enabled a 40% lift in supporter capture.
4. Launch where intent is highest. Deploying first on campaign pages accelerated measurable results and surfaced actionable insights quickly.

Frequently Asked Questions

Can other nonprofits replicate these results?

Organizations that manage high volumes of repetitive inquiries, educational outreach, or time-sensitive engagement can deploy a trained AI agent with appropriate content guardrails and escalation protocols to achieve similar outcomes.

What is required to implement a similar solution?

A curated, expert-reviewed knowledge base, CRM access, and a small internal team to guide tone and workflows are typically sufficient. Most organizations can launch within 60 to 90 days with structured onboarding.

What would the Foundation refine in future iterations?

Earlier segmentation of high-intent visitors—such as screening-ready users versus general awareness seekers—could further optimize donor and volunteer conversion pathways.