Case Study: Right Property Group

AI-Powered Property Discovery and Client Matching

Customer: Right Property Group
Industry: Property Investment Advisory and Buyer’s Agency
Leadership: Victor Kumar, CEO
Solution: Centralised Property Enrichment Engine with Salesforce Integration Delivery Partner: FlowstateAI

The Challenge

Right Property Group is a full-service property investment advisory practice that helps investors build strategic, long-term portfolios with confidence. Their services extend well beyond property acquisition and include client investment blueprints, deep market research, tailored property selection, coordinated purchase support, and ongoing portfolio guidance.

This high-touch, strategy-led approach requires precise alignment between each client’s goals, investment strategy, and available opportunities in the market.

Despite having well-structured client data and investment strategies stored in Salesforce, the property discovery process remained heavily manual. Across the team, buyer’s agents were spending over 20 hours per week searching for suitable properties across constrained geographies. This slowed delivery, pushed client wait times out to seven to eleven weeks, and reduced the time agents could spend on high-value advisory work.

At the same time, Right Property Group held a significant competitive advantage in its internal expertise. Years of experience had shaped clear qualification criteria for what makes a property viable. Much of this logic was repeatable and rules-based, but it lived in the heads of senior agents rather than in a system. This created bottlenecks, blind spots, and limited the firm’s ability to scale without adding headcount.

Right Property Group needed a way to automate property discovery without losing expert judgement, significantly reduce manual effort, and match the right properties to the right clients faster.

The Approach

FlowstateAI partnered with Right Property Group to design and build a Centralised Property Enrichment Engine, powered by the Domain API as the core property data feed and integrated directly with Salesforce.

The engagement focused on capturing and codifying RPG’s property qualification logic into a flexible rules-based system. Using live and structured property data from Domain, the engine continuously scans broader geographic markets at scale, evaluates listings against RPG’s qualification rules, and matches qualified opportunities to live client data stored in Salesforce.

Rather than replacing agents, the system was designed to support them. It produces curated shortlists rather than raw listings, allowing buyer’s agents to apply professional judgement, validate opportunities, and engage clients faster and with greater confidence.

The solution was architected as a foundation, enabling future expansion into urgent off-market deal analysis and deeper AI-driven evaluation.

‍The Solution

Centralised Property Enrichment Engine
A rules-driven system that uses the Domain API to run multiple targeted property searches in parallel across wide geographic areas.

Rules Management Interface
A self-service interface that allows the RPG team to add, edit, and refine property qualification criteria without relying on developers.

Domain API Integration
A live integration providing structured, up-to-date property listing data as the primary input for the enrichment and matching process.

Salesforce Integration
Live API integration pulling client investment strategies, preferences, and segmentation data directly into the matching engine.

Automated Daily Reporting
A daily Property and Client Matching Report, structured by investment strategy and state, presenting agents with prioritised shortlists aligned to client goals.

Scalable Architecture
Built to support future phases including on-demand off-market analysis and advanced AI-powered property assessment.

The Impact

While still early in its lifecycle, the platform has already delivered meaningful operational gains.

• Over 20 hours per week of manual property search time removed across the team• Faster and more consistent matching of suitable properties to qualified clients
• Broader market coverage without increasing headcount
• Reduced risk of missing high-potential opportunities
• A clearer, more repeatable acquisition and advisory process

Most importantly, buyer’s agents are now focused on higher-value work, applying expertise to curated opportunities and client strategy conversations rather than manual searching.

‍What This Enabled

The Property Enrichment Engine has become a foundational capability for Right Property Group’s future growth.

By combining live Domain data, codified qualification logic, and Salesforce client intelligence, the platform provides a single source of truth for property discovery and matching.

This creates operational leverage across the advisory team and enables the business to move faster in competitive and time-sensitive market conditions, without compromising the quality of advice delivered to clients.

‍Customer Testimonial

Victor Kumar, CEO, Right Property Group

“FlowstateAI really understood how our business works, not just from a technical perspective, but operationally. They helped us turn years of experience and judgement into a system the entire team can now benefit from.

Before this project, our team was spending well over 20 hours a week just searching for properties. The time savings have been immediate. Property matching is faster, more consistent, and our agents are now focused on reviewing quality opportunities and supporting clients, not digging through listings.

This project has already delivered real outcomes for our team and gives us a strong foundation to scale how we source and assess deals.”

‍Why FlowstateAI

FlowstateAI designs, builds, and manages custom AI workers and automation systems inside customer ecosystems. We take a human-first approach, focusing on amplifying expertise, improving decision quality, and creating scalable operational advantage.

For Right Property Group, that meant building technology that combined trusted market data, respected agent judgement, and materially improved how investment opportunities are sourced and matched to clients.

AI-powered insights. Human-first experiences.

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