Healthcare organizations are racing to adopt AI, but a new report from Kyndryl (NYSE: KD) shows most are struggling to scale projects safely in an increasingly complex regulatory landscape. The company’s Healthcare Readiness Report finds that while 76% of organizations are running more AI pilots than they can scale, only 30% feel prepared to navigate evolving policy requirements.
Regulatory compliance is a top concern, with 55% of respondents worried about keeping pace with policy changes, and 31% citing it as a barrier to enterprise-wide AI deployment. The findings highlight a persistent gap between AI ambition and operational readiness—a gap Kyndryl aims to close with its policy-as-code capability.
Embedding Compliance into AI Workflows
Kyndryl’s policy-as-code technology translates regulatory and operational rules into machine-readable policies that guide AI workflows. This allows healthcare organizations to embed governance, compliance, and auditability directly into AI systems, rather than retrofitting them after deployment.
“Healthcare organizations are operating in one of the most complex regulatory environments in the world,” said Christine Landry, Global Vice President for Healthcare at Kyndryl Consult. “Our policy-as-code capability ensures compliance, safety, and governance are built in from the start, reducing operational risk and giving clinicians and administrators greater confidence as AI becomes part of daily workflows.”
By embedding guardrails from day one, Kyndryl helps organizations strengthen resilience against cyber threats and privacy risks while scaling AI projects beyond the pilot stage.
Real-World Applications and Collaborations
Kyndryl is already working with healthcare organizations worldwide to modernize operations and enable responsible AI adoption. For example, Servei de Salut de les Illes Balear (Balearic Islands Health Service) is partnering with Kyndryl to develop an AI-enabled clinical-genomic platform that accelerates diagnosis while maintaining strict data protection standards.
Additionally, Kyndryl has teamed up with the University of Liverpool’s Civic Health Innovation Labs (CHIL) to combine its Agentic AI Framework with academic research. The collaboration aims to create scalable blueprints for AI that improve patient engagement and translate innovation into practical, resilient healthcare outcomes.
As AI adoption in healthcare accelerates, Kyndryl’s approach underscores a key trend: building trust, compliance, and operational resilience into AI systems from the ground up is essential for turning pilots into enterprise-scale solutions.
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