Winner: 2026 Global Impact Catalyst Award, AMER

Recognized for turning operational improvement into human impact, Array Behavioral Care has proven that standardizing the clinician journey directly expands patient access. By reducing onboarding bottlenecks, Array pulled forward 501 clinician-months of capacity—equating to over 64,000 additional patient encounters delivered sooner.

Healthcare is a legacy industry where work is often fragmented across email and other communication silos. We treat every unit of work as a single connected record with enforced ownership. This gives us the visibility to resolve risks earlier and ensure every patient receives the right care, at the right time, in the right dose."

Patrick Williamson

Chief Information Officer

The clinician journey operating system

Previously, clinician onboarding was a manual process across disconnected tools, leading to missed steps and inconsistent compliance. Array solved this by building a unified end-to-end system that starts with a monthly capacity-and-demand cycle. By treating every clinician record as a single connected unit, handoffs no longer create loss of context from the first staffing recommendation to the first patient visit.

• Automated staffing requisitions: When a staffing need is identified, Rules automatically create requisitions for the recruiting team.

• Unified preboarding: Once a clinician is hired, structured handoffs automatically launch a preboarding project using service-line templates, ensuring onboarding and administrative tasks stay connected.

• Cross-functional accountability: Through multi-homing, tasks for onboarding appear in departmental views while remaining tied to the primary clinician record.

• Visibility and retention: Real-time Dashboards allow leadership to identify where a clinician is blocked in the journey, reducing pre-start churn by 42%.

The breakthrough was designing the workflow, so every team can work in their own view without breaking the chain. Multi-homing lets a single clinician record move through the onboarding process with clear stage gates. This is the most transformative element of our system; it prevents orphaned steps and gives us a top-down view from strategic priorities to individual execution."

Chelsea Greenbaum

VP, Solutions & Implementation Strategy

Self-learning IT service desk and knowledge base

Array replaced its rigid legacy ticketing system with an AI-enabled service desk built on AI Studio. This system doesn't just resolve issues; it acts as a learning flywheel. Every resolved ticket is automatically evaluated to improve the company's internal knowledge base, increasing future self-service deflection and reducing the overall support workload by 20%.

• AI-driven triage: AI Studio analyzes incoming tickets to automatically populate categories, set priority, and route them to the correct technician.

• Knowledge check feedback loop: When a ticket is closed, it is automatically multi-homed to QA board where AI assesses whether a matching knowledge article exists.

• Automated article drafting: If no matching solution is found, AI Studio analyzes the problem and resolution notes and drafts a structured new knowledge article for human review.

• Quality assessment gates: A post-closure QA process evaluates response tone and helpfulness, turning every interaction into a coaching opportunity for the team.

The key unlock was building guardrails so quality and consistency happen by default. If the resolution is not captured in the ticket, the system treats it as incomplete. That structure, plus the AI-driven categorization and knowledge checks, turns every ticket into fuel to make the experience better the next time."

Adam Erickson

Director of IT Operations

Enterprise goal-based execution and autonomous reporting

With core business operations centralized in Asana, Array has established a consistent operating rhythm that connects individual work, cross-functional workflows, enterprise portfolios, and company goals. Teams manage operational processes and strategic initiatives in Asana, while leadership uses Smart Status and Smart Summaries to review progress, risks, blockers, and next steps. This creates a single operating layer for the business, reducing manual status preparation and giving leaders a clear view of execution across the organization.

• Goal-based execution: Enterprise workflows are connected to annual strategic themes and company goals, helping teams understand how their work supports business.

• Autonomous reporting: Asana AI pulls progress and risks directly from connected work to generate executive-ready status updates, eliminating hours of manual weekly assembly.

• Audit-ready governance: Clinical operations specialists use central views to audit incomplete clinician-facing tasks, enabling clean escalation paths for time-sensitive compliance work.

• Executive operating rhythm: Asana status updates and portfolio views are the source of truth for project health, surfacing escalations, and aligning next steps across departments.

We use Asana as our enterprise operating system. It has changed how we run the business because leaders can see where work stands, what is blocked, and how day-to-day execution connects back to our company priorities.

Patrick Williamson

Chief Information Officer

Conclusion

Before Asana, Array Behavioral Care was bogged down by long onboarding cycles and fragmented support. By building an AI-powered enterprise operating system, the organization has turned operational execution into a competitive lever. This unified architecture allows Array to bring clinicians to patients faster, directly supporting its mission to transform behavioral health care. As Array continues to scale, its self-healing AI infrastructure ensures that speed, quality, and access grow together.