Mural Health is a pioneer in patient-first clinical trial technology dedicated to reducing the burdens on participants. They redefine what it means to prioritize patients in clinical trials, but their mission often meets roadblocks in the form of time-consuming administrative tasks like RFPs and RFIs. With each request containing thousands of compliance questions, the process became a strain on their teams—until they discovered Tribble.

By partnering with Tribble’s AI-native solution, Mural Health found a way to drastically cut down the time and effort required for each RFP submission, enabling them to refocus on their core mission: improving patient experiences with clinical trials.

From Strain to Strength: Automating RFPs to Stay Ahead

Prior to integrating Tribble, every RFP was a marathon of cross-functional team reviews, data validation, and manual input. “With each submission, we were spending weeks sifting through granular security and compliance details, often pulling in team members who would otherwise be dedicated to serving our customers,” explains Mo Punjwani, Senior Manager of BizOps & Strategy at Mural Health.

After implementing Tribble’s AI-powered RFP agent, Mural Health was able to take back control. What used to take weeks now takes days, with automation ensuring not just speed but precision.

Empathy, Efficiency, and Impact: The New Face of RFP Responses

This newfound efficiency allows Mural Health to strengthen its position in a competitive market while staying true to its mission of creating a more compassionate clinical trial experience.

Unlocking Potential: A Model for Modern AI Adoption

“Too often, AI is seen as a tool to simply speed up routine tasks. But with Mural Health, we’ve seen how automation can go beyond efficiency to genuinely elevate how companies operate,” shares Sunil Rao, CEO and co-founder of Tribble.

Mural Health’s Mission, Amplified

Mural Health’s journey with Tribble is a testament to what’s possible when modern technology meets a human-focused mission. Their vision for a more empathetic, patient-centric future is now achievable on a larger scale, with AI removing the operational barriers that once stood in their way.