The AI use case database

Customer SupportSales & Outreach+1

Real-time contact-center co-pilot workflow where AI listens to live voice support, detects intent and sentiment, retrieves context, updates customer profiles, and guides agents through next-best actions.

Outcome: In a company-authored arXiv case study, the team reports lower agent cognitive load and production pilot gains including reduced average handling time, higher lead-to-enquiry conversion, and higher booking conversion.

Corporate expense-processing workflow where receipts are recognized with OCR/IDP, classified against policy data, routed through generative-AI exception handling, and finalized with human review.

Outcome: In the authors’ one-month evaluation, the system processed 1,448 receipt entries with reported 83.3% classification accuracy, an F1 score of 0.90, and estimated monthly processing-time savings of more than 80% to 90%.

Business OperationsKnowledge Management+1

Telehealth ambient scribe workflow where visit audio is transcribed with Whisper and processed with GPT-4o into SOAP notes and patient instructions for clinician review.

Outcome: The paper reports adoption by 540+ clinicians, reduced self-reported cognitive load and documentation burden among survey respondents, and a production workflow where clinicians still review and edit the AI-generated documentation.

Sales & OutreachBusiness Operations+1

Sales operations workflow where AI agents help sales professionals update company records and generate reports from varied data sources, including multilingual information.

Outcome: The useful result is less manual sales administration and faster account preparation, with the salesperson still reviewing and using the AI-generated output.

Prototyping & DesignMarketing & Content+1

Brand-specific image generation workflow where creators and brands train private Firefly models on their own assets to generate visuals with consistent style, characters, and details.

Outcome: The useful result is a reusable visual-generation system that can produce campaign, concept, and story assets with less drift from the brand’s existing creative language.

Business OperationsKnowledge Management+1

Workflow documentation and optimization workflow where Scribe captures process steps automatically, then analyzes process libraries to find automation and AI adoption opportunities.

Outcome: Teams get a clearer map of repeated work before deciding which processes to standardize, improve, automate, or support with AI.

Internal-first AI rollout workflow where ServiceNow tests AI use cases internally, learns from failures like weak support summaries, then turns successful pilots into customer-facing tools.

Outcome: ServiceNow built a feedback loop where internal AI pilots exposed performance, data, workflow, and adoption issues early enough to refine products before broader customer rollout.

Knowledge ManagementResearch & Analysis+1

Internal knowledge assistant workflow where consultants use Lilli to search McKinsey's knowledge base, synthesize key points, surface relevant documents, and find internal experts.

Outcome: The workflow helps consultants move faster from a client question to a grounded starting point, while keeping human judgment in charge of what becomes client advice.

Customer SupportBusiness Operations+1

Claims communication workflow where AI drafts clearer, less jargony customer emails for insurance representatives, with humans verifying the message before sending.

Outcome: The useful result is a more consistent customer-communication layer for high-volume claims conversations, with humans still responsible for checking accuracy.

Customer SupportResearch & Analysis+1

AI CEO hotline workflow where customers and merchants talk to an AI version of Klarna's CEO, then transcripts and summaries are analyzed into product feedback for internal teams.

Outcome: The useful result is a faster, more conversational feedback intake loop that routes customer and merchant issues toward product and engineering teams without relying only on surveys or support tickets.

Learning & EducationCompany AI Adoption

AI language-practice workflow where learners use AI-led conversations and explanation features to practice speaking, roleplay scenarios, and understand mistakes.

Outcome: Learners get a lower-pressure practice partner that can adapt to their level, respond in real time, give feedback, and send them back into the lesson path with more context.

Learning & EducationKnowledge Management

Teacher lesson-plan customization workflow where AI and curators co-create English/Kannada lesson plans that teachers adapt for local classroom needs.

Outcome: Teachers reported saving lesson planning time, reducing teaching-related stress, and using AI-generated plans as adaptable starting points for classroom activities and documentation.

Marketing & ContentPersonal Productivity

Finance newsletter editing workflow where human-written market thoughts are streamlined with ChatGPT, copyedited with Claude, and refined with custom GPTs to preserve trading-specific language.

Outcome: The workflow helps him move from rough human-written analysis to publishable newsletter copy faster, with an added check for jargon and style before publication.

Research & AnalysisKnowledge Management+1

Direct-from-source job indexing workflow that crawls company career pages, summarizes job descriptions with GPT, and enables granular filtering across full job descriptions.

Outcome: Job seekers get a more usable search experience across source-linked listings, while the product team can enrich large volumes of unstructured job descriptions without hand-tagging every role.

Prototyping & DesignMarketing & Content+1

AI-assisted beverage brand buildout workflow spanning brand identity, market strategy, web design, vendor outreach, packaging, and operational planning.

Outcome: They reported reaching a comparable brand-and-launch-readiness point in about four weeks for less than 10% of the cost they believed a traditional agency-led build would have required.

Prototyping & DesignMarketing & Content+1

Brand-kit-to-design workflow where users connect Canva Brand Kit context and generate editable, on-brand visuals from inside ChatGPT.

Outcome: Teams can move from a plain-English request to a branded draft design faster, then open the result in Canva for human editing and polish.

Business OperationsPrototyping & Design+1

Keyword-to-store setup workflow where a merchant describes a store and AI generates complete editable store layouts with copy and imagery.

Outcome: A merchant can move from a rough store idea to several reviewable storefront directions before doing the slower work of editing, brand refinement, product setup, and launch checks.

Customer SupportCompany AI Adoption+1

Driver-support triage workflow where Claude handles common driver questions and escalates more complex issues to human support.

Outcome: Lyft says the Claude-powered assistant reduced average customer service resolution time by 87% while routing more sensitive or complicated issues to human support.

Research & AnalysisSales & Outreach+1

Banker client-brief workflow where AI helps prepare briefing documents and surface market/client context so bankers can support more client relationships.

Outcome: The useful result is faster meeting preparation and broader client coverage, while keeping bankers responsible for judgment, advice, and client communication.

Business OperationsCompany AI Adoption+1

Advisor meeting debrief workflow where AI listens to advisor/client conversations, summarizes key points and next steps, drafts follow-up emails, and pushes approved updates into CRM.

Outcome: The workflow reduces post-meeting administrative work while keeping the financial advisor in control of client-facing communication and records.

Prototyping & DesignCoding & Engineering

Terry Lin built Cooper's Corner, a voice-powered Apple Watch and iPhone fitness app, by combining low-tech index-card prototyping with a structured AI coding workflow in Cursor and Xcode.

Outcome: He turned rough workout-logging friction into a working multi-device app workflow while keeping the AI coding process bounded by requirements, review, commits, and refactoring.

Coding & EngineeringMarketing & Content

Lee Robinson uses Cursor as a quality-control agent for code and ChatGPT as a style editor for sharper, less generic writing.

Outcome: The useful result is a workflow where AI checks work against explicit standards instead of simply producing more code or copy.

Personal ProductivitySales & Outreach+1

Hiten Shah uses ChatGPT Projects as context-loaded assistants for managing up, self-coaching, and turning sales frameworks into custom discovery scripts.

Outcome: The workflow gives him reusable AI workspaces that can answer with the right context, style, and framework instead of starting from a blank chat every time.

Life SystemsPersonal Productivity+1

Uses AI to turn personal routine data and business context into a lightweight reflection loop, while also using synthetic customer profiles to stress-test ideas, messaging, and assumptions.

Outcome: Shows how AI can make scattered personal and business signals easier to think through. The workflow turns logs, notes, habits, and customer assumptions into clearer questions, patterns, and next actions.