In our previous article, we explored five reasons artificial intelligence (AI) initiatives fail in healthcare: they're bolted on instead of built in, disconnected from operational data, unfamiliar with healthcare workflows, slow to deliver value, and difficult to govern at scale.
These challenges shaped Infor's approach to AI. Rather than layering AI on top of healthcare operations, Infor™ embeds it into the same industry platform that already runs workforce, finance, supply chain, and clinical operations. When AI operates within the system of record and shared data model that powers the business, organizations can move from insight to action faster. Here's what that difference looks like in practice.
This shift reflects a broader transformation occurring across the enterprise software landscape. As AI evolves from providing recommendations to helping organizations take action, businesses are moving beyond traditional systems of record toward more intelligent, action-oriented platforms.
To learn more about how this evolution is reshaping enterprise software across industries, read our related article, “From ERP to ERX: The agentic enterprise.”
These challenges shaped Infor's approach to AI. Rather than layering AI on top of healthcare operations, Infor™ embeds it into the same industry platform that already runs workforce, finance, supply chain, and clinical operations. When AI operates within the system of record and shared data model that powers the business, organizations can move from insight to action faster. Here's what that difference looks like in practice.
Embedded into your workflows
AI creates the most value when it operates inside the systems that run the business, not as a separate solution. Infor embeds AI directly into everyday workflows instead of requiring users to switch to a different platform. For example, nurse managers can identify qualified employees to fill open shifts within existing workforce processes instead of switching between systems. That means less administrative effort and more time focused on patient care.Grounded in operational data
Generic AI can provide answers, but healthcare organizations need AI that understands their business. Infor Industry AI is grounded in the same operational data that powers day-to-day healthcare operations. Grounded in each organization’s schedules, suppliers, contracts, inventory, and financial data, Infor Industry AI delivers context-rich insights that are more actionable and trustworthy.Designed for healthcare
Healthcare organizations should not have to teach AI how healthcare works. Infor Industry AI includes role-based agents designed around healthcare-specific business processes. Embedded directly into workflows, these agents provide adaptive experiences tailored to each role, giving workforce leaders, supply chain teams, and finance professionals AI assistance within the applications they already use.Value in weeks, not months
Healthcare organizations can begin realizing measurable value without lengthy implementation cycles. Rather than spending months assembling AI tools, organizations can begin with prebuilt healthcare use cases, workflows, and automation. At Confluence Health, AI-driven automation increased invoice creation speed by 70% and allowed the organization to reallocate one full-time employee to higher-value work.Governance built in
AI does not scale without trust. Infor embeds governance, risk, and compliance into the platform from the start. AI-driven actions are logged, auditable, and governed by business rules defined by the organization. Users maintain visibility into recommendations while remaining in control of decisions, helping healthcare organizations scale AI confidently.Turning AI into operational value
The future of healthcare AI will not be determined by AI models alone. It will be determined by how effectively AI fits into healthcare workflows, data, and operations.This shift reflects a broader transformation occurring across the enterprise software landscape. As AI evolves from providing recommendations to helping organizations take action, businesses are moving beyond traditional systems of record toward more intelligent, action-oriented platforms.
To learn more about how this evolution is reshaping enterprise software across industries, read our related article, “From ERP to ERX: The agentic enterprise.”