Gartner recently published Innovation Insight: No-Code Agent Builders Improve Efficiency for U.S. Healthcare Payers, examining how no-code agent builder platforms can help payers automate workflows, improve service operations, and reduce manual effort. The report also identifies representative providers in the market, including Ushur. In this article, we'll explore the report's key findings and what they mean for healthcare organizations evaluating agentic AI initiatives.
Executive Summary
- No-code agent builders are moving into the healthcare mainstream. Gartner predicts that by 2028, 70% of payers will use NCABs to address workflow, data, and service automation, reducing manual workloads by 50%.
- The opportunity extends beyond simple automation. Gartner highlights use cases ranging from prior authorization and member enrollment to appeals, grievances, provider data management, and eligibility verification.
- Success depends on governance as much as technology. The report emphasizes readiness assessments, clear ownership, security controls, and collaboration between business and IT teams before deploying AI agents at scale.
- Healthcare organizations are shifting from task automation to outcome-driven execution. No-code agent builders enable AI agents that can coordinate across systems, maintain context, and complete complex workflows rather than simply responding to requests.
Why Are Healthcare Payers Turning to No-Code AI Agent Builders?
Healthcare payers are under sustained pressure from rising administrative costs, member service demand, and regulatory complexity. Traditional automation approaches have reached their limit, particularly in environments where workflows span multiple systems, departments, and compliance checkpoints.
At the same time, members expect fast, digital-first experiences across every interaction—from onboarding to claims resolution. This gap between expectation and operational reality is accelerating adoption of no-code AI agent builders for healthcare operations.
These platforms allow healthcare organizations to design and deploy AI-powered agents using visual interfaces instead of code, enabling faster iteration and broader participation from business and operations teams.
The result is a shift from static automation to adaptive, outcome-driven execution.
What Is a No-Code AI Agent Builder in Healthcare?
A no-code AI agent builder is a platform that enables healthcare organizations to create, configure, and deploy AI agents that execute tasks and workflows without requiring traditional software development.
In healthcare payer environments, these agents are commonly applied to:
- Member onboarding and engagement workflows
- Eligibility and benefits verification
- Prior authorization intake and communication
- Claims status and resolution support
- Provider data management and directory updates
- Appeals, grievances, and compliance workflows
Unlike traditional chatbots or rule-based automation, AI agents are designed to interpret intent, coordinate across systems, and complete full workflows while maintaining context across interactions.
This is particularly important in healthcare, where processes rarely exist in isolation and often require cross-system orchestration.
Why Traditional Automation Falls Short in Healthcare Payer Operations
Legacy automation tools were designed to execute predefined steps, not to manage dynamic, multi-system healthcare workflows.
As a result, healthcare payers often face:
- High volumes of escalations to call centers
- Fragmented member experiences across channels
- Repeated data entry across systems
- Limited resolution without human intervention
Even advanced conversational systems typically stop at information retrieval rather than completing end-to-end outcomes.
No-code AI agent builders address this gap by enabling goal-based execution rather than script-based responses.
Instead of responding to queries, agents are designed to achieve outcomes such as completing enrollment, resolving claims inquiries, or guiding members through care navigation steps.
Key Benefits of No-Code AI Agent Builders for Healthcare Operations
1. Operational Efficiency at Scale
No-code AI agents streamline repetitive, high-volume workflows such as scheduling, intake, eligibility checks, and claims updates. This reduces manual workload while improving turnaround time and consistency.
2. Faster Time to Value
By removing the need for custom development, healthcare organizations can deploy and iterate on workflows significantly faster. Business teams can test and refine agents directly within governed environments.
3. Improved Member Engagement and Care Navigation
AI agents support continuous engagement across the member lifecycle, including reminders, education, eligibility guidance, and care gap closure. This improves accessibility and reduces avoidable inbound demand.
4. Democratization of Workflow Design
No-code environments enable domain experts—rather than only engineers—to design and improve workflows. This creates more responsive and context-aware healthcare experiences.
Compliance, Security, and Governance in Healthcare AI Agents
In healthcare, adoption of AI agents is inseparable from regulatory and governance requirements.
Key considerations include:
- HIPAA compliance and PHI protection
- Role-based access control and segmentation
- Audit trails and explainability of decisions
- Secure data handling and encryption
- Prevention of unmanaged “shadow AI” deployments
Gartner highlights governance as one of the most critical success factors in no-code agent adoption. Without it, the same democratization that enables speed can introduce operational and regulatory risk.
Successful organizations typically adopt a dual governance model where IT defines system-level controls while business teams operate within structured guardrails.
How AI Agents Transform Healthcare Member Engagement and Care Navigation
AI agents are increasingly used to improve how members interact with healthcare systems.
Use cases include:
- Guiding members through benefits and eligibility questions
- Automating appointment scheduling and reminders
- Supporting care gap closure initiatives
- Assisting with medication adherence and follow-ups
- Providing real-time claims and coverage updates
Care navigation becomes continuous rather than transactional. Instead of isolated interactions, members experience connected journeys that adapt based on context and need.
This shift reduces friction while improving both operational efficiency and member outcomes.
To see this in practice, Ushur's AI Agent for Member Service demonstrates how health plans can move beyond overwhelmed call centers with intelligent automation that reasons and resolves — not just responds. From benefits inquiries to care coordination, AI agents navigate complex member needs adaptively, 24/7, while keeping PHI protected through built-in compliance.
Integration Into Healthcare Systems and Workflows
No-code AI agent builders must integrate deeply into healthcare ecosystems to be effective.
Common integrations include:
- EHR and EMR systems
- Claims processing platforms
- CRM and member management systems
- Provider directories
- Billing and payment systems
- Document management and intake systems
Modern platforms use visual integration layers and prebuilt connectors to simplify system orchestration. This enables AI agents to execute actions across multiple systems in real time rather than functioning as standalone interfaces.
The Emerging Market Shift in Healthcare AI Agents
The healthcare AI agent market is evolving toward:
- Vertical-specific workflows tailored to payer operations
- Multi-agent orchestration across complex processes
- Convergence of AI and automation (including RPA)
- Stronger emphasis on explainability and auditability
- Enterprise governance as a baseline requirement
Gartner’s projection that 70% of healthcare payers will adopt no-code agent builders by 2028 reflects a broader shift toward operationalizing AI at scale rather than experimenting with isolated pilots.
How to Evaluate No-Code AI Agent Builders for Healthcare
Not all no-code AI agent platforms are built for the complexity of healthcare payer operations. When evaluating platforms, organizations should prioritize:
- HIPAA and regulatory compliance readiness
- Depth of integration across healthcare systems
- Ability to execute multi-step, goal-driven workflows
- Governance, auditability, and explainability
- Scalability from pilot use cases to enterprise deployment
- Support for both inbound and outbound engagement models
The platforms that deliver the most value don't just automate isolated tasks — they complete entire member and provider journeys from initiation to resolution. Pilots should begin with high-volume workflows such as member inquiries, intake, or eligibility verification where ROI can be clearly measured. Ushur’s checklist for getting ready for AI Agents provides seven steps to prepare your team for success.
How Ushur Helps Healthcare Payers Deploy No-Code AI Agents
Gartner's report identifies Ushur as a representative provider in the emerging no-code agent builder market for healthcare payers. As organizations move beyond AI pilots and into production deployments, the challenge is no longer simply building agents—it's deploying them in ways that improve outcomes while meeting the operational, security, and compliance requirements of healthcare.
Ushur was purpose-built for the complex healthcare environment. The platform enables health plans to design, deploy, and manage AI agents that can execute complex member, provider, and administrative workflows without requiring extensive custom development. Rather than automating individual tasks, Ushur's AI agents are designed to complete entire journeys—from member onboarding and eligibility verification to prior authorization support, care navigation, and service resolution.
Key capabilities include:
- Goal-driven AI agents that execute multi-step workflows across systems and channels
- A no-code platform that enables business and operations teams to rapidly deploy and optimize AI agents
- Built-in governance, auditability, and controls designed for regulated healthcare environments
- Omnichannel engagement across SMS, email, voice, chat, and web while maintaining context throughout the interaction
- Healthcare-specific workflow support for member services, provider operations, and administrative processes
This approach aligns closely with Gartner's broader observation that successful no-code agent adoption depends on balancing business-led innovation with enterprise governance. For healthcare payers, the opportunity is not simply to automate more tasks—it's to create intelligent, connected experiences that improve efficiency while delivering better outcomes for members, providers, and employees.
Conclusion
Gartner's research underscores a broader shift taking place across healthcare: AI agents are moving beyond experimentation and becoming a practical tool for improving operational efficiency, service delivery, and workflow automation. As healthcare payers face growing pressure to reduce administrative burden while improving member and provider experiences, no-code agent builders offer a path to deploying AI at scale without relying exclusively on traditional development resources.
The opportunity, however, extends beyond automation alone. Gartner's findings emphasize that successful adoption requires a balance between innovation and governance, with clear ownership, security controls, and operational guardrails that enable AI agents to operate safely within complex healthcare environments.
For healthcare organizations evaluating their next steps, the focus should not be on deploying more AI, but on deploying AI that can deliver measurable outcomes. The organizations that succeed will be those that combine intelligent automation with strong governance, transforming disconnected processes into connected, outcome-driven experiences for members, providers, and employees.
Frequently Asked Questions About No-Code AI Agent Builders for Healthcare Payers
What are no-code AI agent builders in healthcare?
They are platforms that allow healthcare organizations to design and deploy AI-powered agents using visual tools rather than coding, enabling automation of workflows such as scheduling, claims, and member support.
How do AI agents differ from chatbots?
AI agents execute multi-step workflows and complete outcomes, while chatbots typically provide responses without full transaction resolution.
Are no-code AI agents compliant with HIPAA?
Yes, when built on platforms that include encryption, access controls, audit trails, and governance frameworks designed for healthcare environments.
Why are healthcare payers adopting no-code AI agent builders now?
Rising administrative costs, member service demand, and regulatory complexity have pushed traditional automation to its limits — no-code AI agent builders let payers deploy adaptive, goal-driven workflows faster without heavy IT involvement.