Net Health deployed Salesforce Agentforce to provide 24/7 AI-powered support to healthcare organizations using its specialized EHR systems.
Healthcare software providers are racing to deploy AI across their operations, but most applications focus on clinical workflows or patient-facing tools. A Pittsburgh-based company specializing in restorative care technology is taking a different approach: using AI to transform how it supports the thousands of organizations that depend on its systems.
Net Health, which provides specialized electronic health record software to more than 25,000 healthcare organizations focused on wound care and rehabilitation therapy, has deployed an AI support agent powered by Salesforce’s Agentforce platform. The implementation enables clients to use natural language conversations to resolve technical issues, receive step-by-step instructions, access documentation, and open support cases—available around the clock without waiting for human agents.
According to the company, the AI agent handles routine inquiries and information gathering, allowing Net Health’s human support staff to focus on complex, high-touch issues that require clinical or technical expertise. The deployment positions Net Health among the early healthcare technology vendors using AI agents for client service rather than limiting artificial intelligence to clinical applications.
Pilot Program Through Salesforce Partnership
Net Health was selected as one of the pilot participants in Salesforce’s Private Equity & VC Practice exclusive Pinnacle Program. The initiative was delivered in collaboration with global investment firm Carlyle—Net Health’s portfolio owner, alongside Level Equity and Silversmith Capital Partners—and deployed by Neocol, a consultancy with Salesforce implementation expertise.
The program reflects Salesforce’s push to expand Agentforce adoption among portfolio companies in the healthcare sector, where customer support complexity often stems from both technical software issues and clinical workflow questions.
“Agentforce expands our ability to serve clients more efficiently by leveraging our expertise and freeing our team to focus on more complex, high-impact solutions,” said Ron Books, CEO of Net Health. “This is a natural extension of our commitment to being a true partner — delivering responsive, 24/7 support and helping to ensure our clients have what they need to succeed.”
Real-Time Resolution and Reduced Wait Times
Traditional support channels—email, phone lines, ticketing systems—typically involve wait times, even for straightforward questions about system navigation or basic troubleshooting. According to Net Health, the AI agent provides immediate responses and can surface relevant documentation or escalate to human agents when issues exceed its training scope.
The company collaborated with Salesforce and Neocol to train the AI agent on Net Health’s specialized wound care and rehabilitation therapy software, ensuring responses reflect the clinical contexts in which clients operate. The platform is currently available to a select group of Net Health clients, with plans for broader rollout pending validation of performance and client satisfaction metrics.
For healthcare organizations managing tight operational budgets and lean IT teams, immediate access to support—particularly during off-hours when human agents aren’t available—could reduce downtime and workflow disruptions. The question remains whether AI agents can accurately interpret the nuanced, clinically specific issues that arise in specialized EHR environments.
“With Agentforce, Net Health is making a meaningful shift toward becoming an agentic enterprise,” said Sanjna Parulekar, SVP of Product Marketing at Salesforce. “Net Health is using AI agents to automate repetitive, time-consuming tasks that slow teams down, allowing its employees to focus on more strategic work. This approach is helping the organization move faster, ultimately driving measurable business impact.”
Strategic Implications for Healthcare IT Vendors
Net Health’s deployment signals a broader trend: healthcare technology vendors recognizing that AI’s value extends beyond clinical decision support or patient engagement. Client service represents a significant operational cost center for software companies, particularly those serving thousands of dispersed organizations with varying technical sophistication.
Automating tier-one support—password resets, navigation guidance, basic troubleshooting—could improve response times while reducing staffing costs. However, the ROI calculation depends on accuracy rates, escalation frequency, and whether clients perceive AI interactions as helpful or frustrating compared to human support.
For Net Health specifically, which serves specialized markets in wound care and rehabilitation therapy, support complexity often involves clinical workflow understanding rather than purely technical issues. An AI agent must comprehend not just how the software functions, but how clinicians use it within care delivery contexts—a significantly higher bar than consumer-facing chatbots.
The company’s focus on gradual rollout suggests awareness of these challenges. Piloting with select clients allows Net Health to identify gaps in the AI’s training, refine response quality, and gather feedback before broader deployment that could affect customer satisfaction scores.
Adoption Challenges and Implementation Risks
While AI support agents promise efficiency gains, several factors will influence whether Net Health’s implementation delivers on that potential. Training accuracy remains paramount—if the AI provides incorrect guidance or fails to escalate appropriately, it could create downstream problems that consume more support resources than traditional channels.
Client adoption also depends on user experience. Healthcare professionals managing demanding clinical workloads may have limited patience for AI interactions that require multiple clarifying questions or fail to resolve issues quickly. If the AI agent frustrates users, they may bypass it entirely and demand direct access to human agents, undermining the efficiency rationale.
Integration with existing support infrastructure presents technical challenges. The AI agent must seamlessly hand off complex cases to human staff with full context, avoiding scenarios where clients must repeat information or restart troubleshooting processes. Poor handoff experiences erode trust and satisfaction.
Privacy and security considerations also apply. Healthcare organizations may hesitate to share clinical workflow details or patient care scenarios—even in support contexts—with AI systems, particularly given ongoing concerns about data handling and potential breaches. Net Health’s HIPAA compliance obligations extend to its support operations, requiring careful governance of what information the AI agent accesses and retains.
Looking Ahead: AI as Operational Infrastructure
Net Health’s Agentforce deployment reflects broader recognition that AI’s healthcare applications extend well beyond clinical algorithms and patient-facing tools. Operational efficiency—in billing, scheduling, credentialing, and now customer support—represents substantial opportunity for automation that doesn’t directly touch patient care but enables organizations to function more effectively.
For healthcare technology vendors navigating competitive markets and margin pressure, AI-powered support could differentiate service quality while controlling costs. The challenge lies in implementation: ensuring AI agents enhance rather than complicate the support experience, and that efficiency gains don’t come at the expense of customer satisfaction.
For Net Health’s clients—wound care centers, rehabilitation therapy practices, and other restorative care providers—the value proposition centers on faster issue resolution and reduced downtime. If the AI agent delivers immediate, accurate guidance that keeps their EHR systems running smoothly, it supports their core mission: providing effective care to patients recovering from injuries, managing chronic wounds, or rebuilding functional capacity.
Ultimately, the success of AI support agents in healthcare IT will be measured not by cost savings or response time metrics alone, but by whether they genuinely improve the experience of clinicians and administrators who depend on these systems to deliver patient care. When technology vendors use AI to become better partners—more responsive, more available, more effective—everyone in the care ecosystem benefits.
– This original article was created with AI support.
