Company AI Adoption AI use cases

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.

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.

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.

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.

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.

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.

Business OperationsSales & Outreach+1

Uses AI to organize company-building work at Zapier, including role preparation, talent research, and extracting repeatable culture or operating patterns from internal conversations.

Outcome: Shows how a founder can use AI to make people and culture work more structured: surfacing useful signals, preparing better follow-up questions, and turning scattered conversations into reusable company context.

Business OperationsPersonal Productivity+1

Uses AI as a chief-of-staff layer for executive operations: preparing meeting context, managing calendar decisions, surfacing the right information, and helping the organization build AI habits through structured adoption programs.

Outcome: Turns scattered executive context into a more usable operating layer. Instead of every meeting, decision, and follow-up starting from scratch, AI helps gather context, prepare leadership, and create repeatable patterns for company-wide AI adoption.

Company AI AdoptionBusiness Operations

Built a company-wide AI adoption system at Delight.ai with an internal automation marketplace, gamified quests, AI usage tiers, secure app templates, and personal knowledge workflows like The Gardener.

Outcome: Turns AI adoption from a top-down mandate into an internal product. Employees can request automations, team up to build them, earn rewards, ship on secure templates, and see a clear path from beginner to advanced AI use.