Project Name
Agentforce Implementation by Ksolves for a US Senior Living Nonprofit Reduced Emergency Response to 5 Minutes
When a resident in a senior living community has a fall or a medical emergency, every minute before a coordinated response matters. For a US-based senior living nonprofit operating a national network of residential communities for older adults, that response was taking over 20 minutes. Locating a resident’s care history, identifying the correct care team members, and coordinating a response all required navigating multiple platforms manually. Ksolves deployed Agentforce, with Salesforce Data Cloud as the unified resident data foundation, to rebuild that process around an AI agent that knows the resident, knows the protocol, and acts in seconds. Emergency response time dropped from over 20 minutes to under 5.
- Emergency Response Over 20 Minutes Due to Disconnected Systems: When a resident experienced a fall, medical event, or emergency, staff accessed multiple disconnected systems to locate care history, identify the correct care team, and coordinate a manual response, a process that routinely exceeded 20 minutes from incident to coordinated response and created real clinical risk in time-sensitive situations.
- No Proactive At-Risk Identification: No predictive capability existed to identify residents approaching a health risk threshold before an emergency occurred. Staff responded reactively to events that had already happened, with no framework for recognising deteriorating patterns before they became crises. Residents with declining indicators slipped through undetected until a critical event occurred.
- Resident Portal Engagement at 40%: Only 40% of residents were actively using the existing portal for service requests, communications, and care information access. The majority of resident-staff interactions were happening through phone calls and manual requests, creating operational inefficiency and limiting residents' sense of independence and transparency.
- No Unified Resident Profile Across Care Systems: Resident data was fragmented across care management, electronic health records, scheduling, and billing systems, with no single unified view giving staff or AI systems immediate access to a resident's complete current status, care history, and risk factors at the moment it was needed.
Ksolves implemented Agentforce across three connected layers: Salesforce Data Cloud for unified resident profiles, Agentforce AI agents for autonomous emergency response and proactive risk identification, and Experience Cloud for the enhanced resident self-service portal.
- Salesforce Data Cloud, Unified Resident Profile: Data Cloud consolidated all resident data from care management systems, electronic health records, scheduling platforms, and monitoring data into a single real-time unified resident profile, giving every Agentforce agent, care team member, and staff touchpoint immediate access to the resident's complete current status, care history, medical background, preferences, and risk indicators without switching between systems.
- Agentforce Emergency Response Agent: An Agentforce autonomous agent was built to detect emergency triggers, including fall sensors, panic buttons, and staff escalations, and immediately execute the response protocol by accessing the resident's unified Data Cloud profile, identifying the correct care team members, and dispatching the response with full resident context without any manual intervention. Emergency response time cut from over 20 minutes to under 5 minutes.
- Agentforce Proactive At-Risk Identification Agent: An Einstein AI-powered proactive identification agent using Calculated Insights on the Data Cloud unified profile scores resident risk levels based on historical care patterns, recent vital trends, and behavioural data, alerting the relevant care team members before a crisis develops and shifting the care model from reactive to proactive.
- Experience Cloud Resident Portal Enhancement: The Experience Cloud resident portal was redesigned to increase adoption from 40% to over 75%, with intuitive service request submission, real-time care updates, family communication tools, and AI-assisted care information access, enabling residents to self-serve the majority of routine requests and reducing phone call volume across the network.
Technology Stack
| Category | Technology |
|---|---|
| AI Agents | Agentforce |
| Data Platform | Salesforce Data Cloud |
| Predictive Analytics | Einstein AI |
| Resident Portal | Salesforce Experience Cloud |
- Emergency Response from 20 Minutes to Under 5 Minutes: The Agentforce emergency response agent detects incident triggers, accesses the unified Data Cloud resident profile, and dispatches the correct care team with full resident context automatically, cutting response time from over 20 minutes to under 5 minutes across all tracked emergency events.
- Proactive Care Model Established: Einstein AI scores resident risk daily based on Data Cloud unified profile data, with care teams receiving proactive alerts for residents showing deteriorating patterns before a crisis develops, replacing a purely reactive response model with a predictive one.
- Resident Portal Engagement from 40% to Over 75%: The redesigned Experience Cloud portal raised resident engagement from 40% to over 75%, with residents self-serving service requests, accessing care updates, and communicating with staff digitally, reducing manual phone-based coordination across the network.
- Unified Resident Profile Accessible Across All Care Touchpoints: Every staff member and Agentforce agent now has immediate access to a complete, current resident profile from a single record, eliminating the multi-system navigation that was the root cause of the 20-minute emergency response delay.
Ksolves delivers Agentforce implementation and Salesforce consulting services for senior care, assisted living, and healthcare organisations that need AI-augmented care operations to replace disconnected, manual response workflows.
Before this engagement, the nonprofit’s emergency response depended entirely on staff navigating disconnected systems under pressure. After deploying Agentforce, response time dropped from over 20 minutes to under 5, resident portal engagement rose from 40% to over 75%, and the care model shifted from reactive to predictive for the first time.
The Agentforce implementation pattern built here, covering emergency response agent, proactive at-risk identification, and unified resident profile on Data Cloud, is directly replicable across any senior care operator, assisted living provider, or healthcare organisation managing residents with complex, time-sensitive care needs.
Is Your Care Organisation Still Coordinating Emergency Responses Manually Across Disconnected Systems? Change That with Ksolves!
