Knowledge Management AI use cases

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.

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.

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.

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.

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.

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.

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.

Coding & EngineeringKnowledge Management

Uses Mermaid diagrams and Claude Code automation to make codebases easier for AI to understand, review, and improve, turning architecture context and quality checks into reusable development artifacts.

Outcome: Shows how developers can make AI coding tools better by giving them visual maps of the system and automated guardrails. Instead of relying on long prompts, the workflow turns architecture, task flow, and code-quality checks into files and hooks the AI can reuse.

Coding & EngineeringBusiness Operations+1

Uses AI agents to make enterprise knowledge and engineering operations more actionable, including centralizing internal docs for agents, identifying tech-debt opportunities, and improving hiring or process workflows.

Outcome: Shows how enterprise AI adoption often starts by making the company legible to agents. When docs, decisions, code context, and process data are easier for AI to understand, agents can help with engineering cleanup, operational analysis, and better handoffs across teams.

Knowledge ManagementResearch & Analysis+1

Built a personalized Claude Code system for task management, automated academic research, and modular context files that make AI collaboration easier with shorter, simpler prompts.

Outcome: Turns Claude Code into a personal operating layer for knowledge work: daily tasks are generated from Markdown files, research appears as a digest, papers are summarized automatically, and context files help Claude give better feedback without long prompts.

Research & AnalysisMarketing & Content+1

Uses an AI-assisted research workflow to digest dozens of weekly podcast episodes into structured notes, patterns, insights, and blog-ready ideas for investing and writing.

Outcome: Shows how AI can turn a high-volume information habit into a repeatable research system. Instead of relying on memory or scattered highlights, Tomasz can process many episodes, extract themes, and turn signal into writing or investment thinking.

Knowledge ManagementMarketing & Content

Built Spiral as an AI writing partner that helps people think before they write by asking ghostwriter-style questions, exploring branches of an idea, and turning scattered thoughts into clearer direction.

Outcome: Shifts AI writing from instant drafting to better thinking. Instead of producing a generic article too quickly, Spiral helps users slow down, examine the idea, find the stronger angle, and make the writing feel more like their own.

Knowledge ManagementPersonal Productivity

Uses Claude Code inside Obsidian as a second brain, giving AI access to roughly 1,500 notes so it can retrieve old research, organize ideas, support deep work, and help him resume thinking after interruptions.

Outcome: Turns a personal note archive into an active research partner. Instead of manually searching old notes or rebuilding context after a break, Noah can ask Claude Code to find relevant material, organize it into project folders, ask clarifying questions, and help him pick up where he left off.