{ "story_id": "c6203a9f5459c1537c771a3d82ee9f8d", "desk": "drm3", "revision": 1, "published_at": "2026-09-01T11:30:00.000Z", "content_hash": "7b1c107099a0c132f532e55f122814c97b5971c36a10fd25ec7600c2fffbe5a7", "hash_basis": "sha256 over `headline\\ndek\\nprose`, plus `\\n` + the canonical citations JSON when any source is placed, plus `\\n#blog` for blogs", "basis": { "headline": "Enterprise AI Success Requires Workflow Focus, Not Just Model Selection", "dek": "Organizations should prioritize defining business workflows before selecting AI models to ensure measurable value.", "prose": "Eranda Maldeniya, Director of Product at Enterprise Analytics, states that organizations often incorrectly start AI adoption by asking which model to adopt rather than which business process to improve. [^1]\n\nA January 2026 McKinsey analysis states that using AI systems to automate authorizations and claims could reduce hospital billing costs by 30% to 60%. [^2]\n\nAccording to a 2026 Deloitte report, healthcare systems could lose up to $54.5 billion over the next decade if they fail to implement virtual care options. [^3]\n\nMcKinsey reports that for a healthcare system with $6 billion in annual revenue, automating administrative cycles with AI can save between $60 million and $120 million annually in operational expenses and reprocessing. [^4]\n\nThe Peruvian Ministry of Health reported in early 2026 that the country has a national network of 3,072 interconnected facilities and has conducted over 9 million telehealth consultations in the last three years. [^5]\n\nMaldeniya observes that teams are currently repeating a pattern with agentic AI where they search for deployment places before defining the business problem, leading to unclear outcomes and wasted time. [^6]\n\nThe article recommends that organizations assess AI by operational impact, specifically asking if it reduced data entry time, error rates, or resolved exceptions faster. [^7]\n\nThe author asserts that the workflow is the real unit of value in enterprise AI, noting that extracting invoice data alone does not guarantee a better business outcome without the full accounts payable workflow. 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