About the Client
The client is a regional real estate services company operating across residential sales, property management, and leasing, with a portfolio that spans several hundred active listings and thousands of tenant and homeowner accounts. Their support team fielded a high volume of repetitive inquiries daily, ranging from listing availability and viewing requests to maintenance tickets and lease renewal questions. They had been running Salesforce Service Cloud for several years to manage cases, but had no automation layer beyond basic email-to-case routing. As the portfolio grew, their five-person support team was increasingly buried in low-complexity tickets, which left little time for the higher-stakes conversations, like negotiating lease terms or resolving escalated maintenance disputes, that actually needed a human. The company came to Dean Infotech looking for a way to automate front-line support without sacrificing the personal touch their brand was known for.
The Challenges They Faced
Before implementation, the client's support operation was structurally reactive. Every inquiry, regardless of complexity, went through the same manual triage process, which meant simple questions and urgent issues competed for the same limited attention.
- Support requests came in through email, a web form, and phone, with no unified intake process, so agents spent significant time just consolidating context before they could respond
- Average first response time exceeded 14 hours, well outside what buyers and tenants expected in a competitive rental and sales market
- Roughly 60% of inbound tickets were repetitive and low-complexity (listing status, viewing scheduling, document requests) but still consumed full agent attention
- Maintenance requests from tenants often sat unrouted for a day or more before reaching the right property manager
- The team had no after-hours coverage, so anything submitted outside business hours simply waited in a queue until morning
Solutions We Offered
Dean Infotech's Salesforce team designed and deployed an Agentforce Service Agent built directly on the client's existing Service Cloud org, prioritizing accuracy and grounded responses over generic conversational AI.
- Configured a custom Agentforce Service Agent using Agent Builder, defining topics and instructions scoped specifically to listing inquiries, viewing scheduling, maintenance intake, and lease document requests
- Connected the agent to Salesforce Data Cloud to unify listing data, tenant records, case history, and property management records into a single, queryable data layer the agent could reason over in real time
- Built custom Apex actions and Flow-based actions so the agent could perform real tasks, not just answer questions, including creating and routing maintenance cases, checking listing availability, and scheduling property viewings directly on agent calendars
- Applied Salesforce's Atlas Reasoning Engine to handle multi-step requests, so a single tenant message like "my AC isn't working and I need to know if my lease renewal went through" gets decomposed into two separate actions and resolved in one exchange
- Set up escalation logic and confidence thresholds so the agent hands off to a human rep automatically whenever a request falls outside its defined topics or involves financial negotiation, legal language, or a dissatisfied tenant
- Implemented Data Cloud-based grounding with strict data retrieval permissions, ensuring the agent only surfaces information the requesting contact is authorized to see
- Integrated the agent across the client's website chat widget, email intake, and SMS, so the same underlying agent handles inquiries regardless of channel
Technical Points Highlighted
The implementation relied on Agentforce's core architecture: a combination of large language model reasoning, retrieval-grounded data access, and deterministic action execution, rather than a standalone chatbot bolted onto the CRM.
- Agent topics and instructions were built and iterated in Agent Builder, with each topic scoped narrowly to reduce hallucination risk and keep responses grounded in actual Salesforce records
- Data Cloud served as the unification layer, harmonizing listing, tenant, case, and property management data from multiple objects into a single real-time profile the agent could query
- Custom Apex invocable actions handled the transactional side of the agent's work, including case creation, calendar booking, and record updates, so the agent's output resulted in real changes in Salesforce, not just conversational replies
- Guardrails were configured at the topic level to restrict the agent from discussing pricing negotiations, legal lease terms, or fair housing-sensitive topics, all of which route straight to a human agent
- The agent was deployed through Salesforce's Employee and Service channels simultaneously, giving internal property managers a way to query the same knowledge base the customer-facing agent uses
Benefits
Beyond the raw time savings, the shift gave the support team room to actually focus on relationship-driven work instead of ticket triage.
- Round-the-clock coverage for listing and scheduling questions, closing the after-hours response gap entirely
- Support agents redirected roughly a third of their time from repetitive tickets to lease negotiations and tenant retention conversations
- Faster maintenance case routing meant property managers could act on urgent issues the same day instead of the next business day
- A consistent, on-brand tone across every channel, since the agent's responses were built from the same approved knowledge base agents already used
- Reduced dependency on hiring additional support staff as the client's listing portfolio continued to grow
Result
- 68% reduction in average first response time across all support channels
- 60% of inbound tickets now resolved without human intervention
- 35% increase in agent capacity for high-value tenant and buyer conversations
- 42% faster maintenance case routing to the correct property manager
Conclusion
Autonomous support agents work best when they're grounded in real, well-structured CRM data, not bolted on as a generic add-on. This client's results came from tying Agentforce directly into their existing Salesforce Service Cloud environment, rather than replacing it, which meant faster time to value and a lot less disruption for their team.
If your real estate business is running Salesforce and dealing with the same response-time pressure, Dean Infotech's Salesforce implementation team can help you scope, build, and deploy an Agentforce solution suited to your portfolio, whether that's support automation, lead qualification, or internal workflow agents. Get in touch with Dean Infotech to talk through what an Agentforce rollout could look like for your team.
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