Cloud & AI for the Enterprise
A structured collection of enterprise‑grade AI use cases designed to help leaders understand where AI creates real operational value. Each brief includes ROI logic, realistic scenarios, data requirements, and cross‑functional impact so executives can evaluate opportunities with clarity and confidence.
Browse by Industry
Explore use cases written with the operational realities of each sector in mind.
Browse by Function
Find the use cases that match the responsibilities and priorities of your teams.
Browse by Capability
See how specific AI capabilities deliver value across different contexts.
Explore the Library
The posts below contains all published use case briefs. Each brief follows a consistent structure with clear explanations, practical scenarios, and comparable criteria across industries and functions. You can read them in any order. Every brief outlines what the use case is, why it works, the data required, and where enterprises typically see the strongest ROI.
This collection forms the core of the Enterprise AI & Cloud Value Index, providing a structured reference for leaders evaluating real AI value.
A structured collection of enterprise‑grade AI use cases designed to help leaders understand where AI creates real operational value. Each brief includes ROI logic, realistic scenarios, data requirements, and cross‑functional impact so executives can evaluate opportunities with clarity and confidence.
Browse by Industry
Explore use cases written with the operational realities of each sector in mind.
Browse by Function
Find the use cases that match the responsibilities and priorities of your teams.
Browse by Capability
See how specific AI capabilities deliver value across different contexts.
Explore the Library
The posts below contains all published use case briefs. Each brief follows a consistent structure with clear explanations, practical scenarios, and comparable criteria across industries and functions. You can read them in any order. Every brief outlines what the use case is, why it works, the data required, and where enterprises typically see the strongest ROI.
This collection forms the core of the Enterprise AI & Cloud Value Index, providing a structured reference for leaders evaluating real AI value.
Overview Product description generation uses AI to create clear, consistent descriptions that help customers understand what they’re buying. You’re managing thousands of SKUs across categories, each with different attributes, benefits, and use cases. AI helps you turn raw product data into language that feels natural and helpful, whether the item is new, seasonal, or part … Read more
Overview Dynamic pricing uses AI to adjust product prices based on demand, inventory levels, seasonality, and competitive signals. You’re working in an environment where margins are tight and customer expectations shift quickly. AI helps you respond to those shifts without relying on manual analysis or slow batch updates. It gives your teams a clearer view … Read more
Overview Population health insights use AI to analyze trends across patient groups so you can identify risks earlier and intervene more effectively. You’re working with data that spans chronic conditions, social determinants, utilization patterns, and care gaps. AI helps you surface patterns that would take teams much longer to uncover manually. It supports leaders who … Read more
Overview Diagnostic support uses AI to analyze clinical notes, labs, imaging summaries, and patient history to surface possible conditions for clinicians to consider. You’re working in an environment where time is limited and information is scattered across multiple parts of the EHR. AI helps you bring those details together so clinicians can review patterns that … Read more
Overview Patient communication automation uses AI to draft clear, timely messages that help patients understand next steps in their care. You’re dealing with a steady flow of appointment reminders, follow‑up instructions, test result explanations, and care coordination updates. AI helps you create messages that are accurate, consistent, and aligned with clinical intent. It supports teams … Read more
Overview Care plan drafting uses AI to turn clinical notes, assessments, and patient history into structured care plans that clinicians can review and refine. You’re working with information that often lives across multiple parts of the EHR, and pulling it together takes time. AI helps you assemble the goals, interventions, risks, and follow‑up steps in … Read more
Overview Claims coding assistance uses AI to read clinical documentation, identify relevant diagnoses and procedures, and suggest accurate codes before a human coder reviews the claim. You’re dealing with a workflow that depends on precision, consistency, and speed. AI helps you surface the right details from clinical notes so coders don’t have to search through … Read more
Overview Prior authorization automation uses AI to review requests, extract required details, and determine whether the submission meets payer criteria before it reaches a human reviewer. You’re dealing with a process that slows down care, frustrates clinicians, and creates heavy administrative load. AI helps you move through the documentation quickly so teams spend less time … Read more
Overview Clinical note summaries use AI to turn long, complex provider notes into clear, structured summaries that fit directly into clinical workflows. You’re dealing with documentation that often spans multiple encounters, lab results, medications, and patient narratives. AI helps you condense all of that into a format clinicians can scan quickly without losing the nuance … Read more
Overview AML monitoring and investigation use AI to analyze transactions, customer behavior, network relationships, and historical case patterns so you can detect suspicious activity with far greater accuracy. Instead of relying on static rules that generate overwhelming false positives, you receive dynamic risk signals that adapt to new laundering techniques, cross‑border flows, and complex entity … Read more