REAL ESTATE CASE STUDY

Roofstock

Roofstock, a leading real estate investment marketplace, partnered with Qurrent to reimagine how property management operations could scale efficiently. What began as a single workflow automation has now evolved into a company-wide vision to deploy AI workforces across the entire property management operations — driving measurable savings, enabling human teams to focus on higher-value interactions, and setting the foundation for scalable growth.

CHALLENGE

Streamlining high-volume, manual workflows to unlock growth.

Roofstock’s property management team faced a familiar operational challenge: repetitive, time-consuming tasks across high-volume workflows. These processes required multiple touch points — from verifying move-out conditions to sending communications and validating data — often handled manually.

While Roofstock’s operations team delivered exceptional service, the volume and variability of property-level workflows created bottlenecks that limited scalability. The leadership team recognized an opportunity to apply AI automation not just as a tool, but as a workforce multiplier — freeing their people to focus on strategic and resident-centric activities.

SOLUTION

AI Workforces seamlessly integrated with human operations.

Qurrent partnered with Roofstock to design and deploy an AI Workforce tailored to the Move-Out process — an area with high repetition and measurable efficiency potential. Within weeks, Qurrent’s autonomous AI agents were handling ~80% of routine Move-Out tasks, including:

Data validation and record updates
Email and SMS communication with residents
Task routing and documentation follow-up
Coordination with vendors and internal teams

The AI workforce operates within Roofstock’s systems via secure API integrations, ensuring contextual awareness and real-time traceability. Human intervention occurs only when needed — for example, when empathy, negotiation, or voice-based interactions are essential.

To maintain transparency and governance, Qurrent’s proprietary Supervisor provides complete visibility into every agent’s activity, ensuring compliance and continuous learning loops.

RESULTS

Redefining What’s Possible in Property Management.

Since deployment, Roofstock has achieved:

80% automation of the Move-Out workflow
~2000 hours of manual effort saved
Improved resident experience through faster, consistent communication
Clear hand-off logic for licensed and empathy-driven tasks

What started as a focused efficiency project with the Move-Out workflow has now evolved into a strategic initiative — embedding AI Workforces across Roofstock’s operations. The success of Move-Out automation has become the blueprint for scaling automation across property management operations, setting a new standard for operational scale and performance.
The result: streamlined property management, reduced overhead, and an elevated resident experience.

Roofstock’s partnership with Qurrent represents a future-forward model for real estate — where AI workforces are truly amplifying operational teams.

CUSTOMER TESTIMONIAL

With Qurrent is fundamentally transforming property management operations. Ability to reduce our cost of service by more than 30% creates significant leverage to re-invest in growth and scale at a speed that was previously unimaginable.

DOUG BRIEN

CEO, Roofstock

Based in the San Francisco Bay Area, Roofstock is a leading real estate investment platform that enables individuals and institutions to buy, sell, and manage single-family rental properties with ease. Roofstock’s mission is to make real estate investing more accessible, transparent, and efficient. Through a tech-powered marketplace and end-to-end management solutions, Roofstock empowers investors to participate in the rental property market without the traditional barriers of geographic limitations or operational complexity.

UNLOCK THE POWER OF AI AGENTS

Want to offer better experiences and improve customer satisfaction ?

Tony Ko

Founding Member, SVP Customer & GTM

For over two decades, Tony has been driven by a vision to transform businesses through the power of technology. A seasoned leader with a deep understanding of data, product, and AI, Tony has consistently
sought out opportunities to apply emerging technologies to solve complex, real-world problems. Prior to joining Qurrent, as the Global Managing Director of AI at Slalom, he spearheaded the development
of the company’s global AI practice, building and leading high-performing professional services teams that delivered impactful AI solutions to enterprise clients worldwide. As SVP of Customer & GTM at Qurrent, Tony continues to champion the transformative potential of AI, empowering businesses to thrive in an increasingly competitive landscape.

August Rosedale

CTO & Co-Founder

August has been building with AI since 2020, working with large language models and training image models from the ground up. While in college, he founded Mirage Gallery, one of the first generative AI-native art platforms, which gained widespread recognition and a thriving collector base. A lifelong entrepreneur with a Mechanical Engineering degree from Santa Clara University, he filed his first patent in high school and has always focused on real-world applications of emerging technology. As the CTO and Co-Founder at Qurrent, he leads all engineering and technology development, driving innovation in AI-driven automation systems.

Colin Wiel

CEO & Co-Founder

Colin is a seasoned entrepreneur who has been working deeply with AI since the 1990’s. Colin’s previous ventures include Mynd, a tech-enabled platform for single-family rental investments named the fastest growing Bay Area company in 2020, and Waypoint Homes, which raised over $3.5 billion and managed 17,000 homes before going public on the NYSE in 2014. Recognized for his innovations in AI, Colin holds multiple patents, earned a spot on Goldman Sachs’ Top 100 Most Innovative Entrepreneurs, and was named Ernst & Young Entrepreneur of the Year.

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