Meet Ask AI. Tell it what to do in plain English. It schedules tasks, retrieves client info, follows up with leads, builds workflows, and even generates entire websites directly inside your CRM.
No-code platforms typically consist of several components that work together to provide a comprehensive development environment.
Quickly bring your ideas and projects to life without technical expertise. Utilize intuitive UI/UX design tools and AI-driven generation.

By implementing cutting-edge automation technologies, achieve maximum efficiency and control over your organized and flexible workflows.

Easily connect your enterprise by setting up integrations through SOAP and REST services in just a few clicks.

Gain insight into your data with comprehensive reporting capabilities. The no-code platform lets you easily create and analyze detailed reports.
Train an intelligent bot on your listings, FAQs, and business logic using Claude. Let it qualify leads, answer property questions, and book showings across SMS, Webchat, and social media.
Deploy an Autonomous Workforce of AI specialists that do jobs, not just tasks. They orchestrate teams of Claude agents to deliver outcomes from start to finish, adding instant capacity for teams that need to scale.
Define the overall business objective. Whether it's triaging leads or categorizing loan documents, agentic workflows handle the "why" while the AI handles the "how."
Coordinate collaboration among teams of AI agents to successfully achieve specific goals. AI agent teams deliver better results than single AI agents for complex, multi-step tasks.
Unify third-party tools and built-in agents. It's the central intelligent hub where you can connect your AI strategy, governance, and management across your entire brokerage.
An AI agent's role defines its purpose, objectives, and behavior. In AI Studio, roles are set in natural language rather than complex code, making it accessible to everyone.
Equip agents with specific technologies and resources. AI agents use tools like flow actions, subflows, scripts, and API skills to execute tasks and fulfill their roles seamlessly.
AI agents use business data to fulfill their missions and deliver personalization. They seamlessly access knowledge articles, historical CRM data, and real-time listing inputs.
The concepts of “low-code” and “no-code” have much in common, such as offering visual design tools for streamlined application development. The critical difference is that low-code platforms stand on the premise that coding should remain a necessary part of the development process.