Beyond RPA: How to Build Toward End-to-end Process Automation

Discover the best applications for RPA, as part of a wider digital transformation journey toward end-to-end process automation.
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Austin, Texas-based Keller Williams, the world’s largest real estate technology franchise by agent count, has more than 1,060 offices and 184,000 associates. The franchise is also No. 1 in units and sales volume in the United States. In 2015, KW began its evolution into a technology company, now building the real estate platform that agents’ buyers and sellers prefer. Since 1983, the company has cultivated an agent-centric, technology-driven and education-based culture that rewards agents as stakeholders. For more information, visit kw.com.

Testimonial

“Before Camunda was brought in, Keller Williams had the product vision for what they wanted SmartPlans to be, but the underlying engine was lacking to say the least. It was essentially a low code platform where they had a UI flow builder and they embedded this directly in the UI via an iframe.”

Jeremy Warren, Lead Business Automation Engineer, Keller Williams 


Driven by a desire to foster meaningful relationships, Keller Williams wanted to provide a seamless user experience for agents and customers (both home sellers and buyers) as they navigated the real estate market. They envisioned a highly flexible home-grown solution, instead of a SaaS suite that did not allow for customization.

Today, the Keller Cloud platform consists of two main components: Command and Consumer. Consumer is the customer-facing component of Command – a powerful, interconnected tool that enables agents to manage contacts, marketing profiles, campaigns and listings. All services are essentially microservices that run in Google Cloud, with Camunda powering the Tasks and SmartPlans components.

Keller Williams now processes more than 13 million SmartPlan instances and has onboarded more than 56,000 users to the system, as well as garnering positive feedback from agents who have had considerable success through tailored processes.