General AI adoption use cases
Use this page to scan general AI adoption opportunities that apply across teams. These use cases help you spot reusable patterns before you commit to a rollout in one specific function.
Create
Review create use cases that can apply across multiple teams, then pick the ideas worth testing against real work.
Enable
Review enable use cases that can apply across multiple teams, then pick the ideas worth testing against real work.
AI Skills
AI Skills package repeated workflows into reusable instructions, references, and operating rules when ad hoc prompting produces inconsistent results.
Value drivers: Quality, Speed
Value 3/5 · Effort 3/5
MCP
MCP gives AI assistants controlled access to tools, documents, repositories, and work history, turning repeated copy paste context into scoped integrations.
Value drivers: Quality, Speed
Value 3/5 · Effort 2/5
AI Projects
AI Projects keep persistent instructions, files, decisions, and context around a workstream so teams do not restart every chat from zero.
Value drivers: Quality, Speed
Value 3/5 · Effort 1/5
Select
Review select use cases that can apply across multiple teams, then pick the ideas worth testing against real work.
AI assistants
AI assistants are the starting point for most workplace AI adoption: use them to brainstorm, challenge ideas, analyze questions, draft text, and build judgment by comparing responses across tools.
Value drivers: Quality, Speed
Value 4/5 · Effort 2/5
Workflow automation
Workflow automation uses AI or AI generated code to remove predictable, repetitive work when triggers, inputs, outputs, exceptions, and ownership are clear.
Value drivers: Speed, Cost, Quality
Value 4/5 · Effort 5/5
Dictation AIs
Dictation AIs turn speech into working text when speaking is faster than typing, especially for drafting, communication, accessibility needs, or getting past a blank page.
Value drivers: Speed
Value 2/5 · Effort 1/5
Meeting transcription
Meeting transcription turns conversations into transcripts, notes, summaries, and action lists when a searchable written record is worth the consent, policy, and cleanup overhead.
Value drivers: Quality, Speed
Value 3/5 · Effort 1/5
Vibe-coding websites
Vibe coding websites uses AI to ship prototypes, simple web apps, and marketing pages from a clear brief, existing design constraints, and a review loop.
Value drivers: Speed, Cost
Value 3/5 · Effort 5/5
Time tracking
AI time tracking reconstructs work from apps, websites, files, calendars, and summaries so people can understand where time goes without running manual timers all day.
Value drivers: Quality, Cost
Value 4/5 · Effort 2/5
Data enrichment
AI data enrichment adds generated classifications, summaries, extracted fields, cleanup, or missing context to spreadsheet rows when manual review is slowing down the work.
Value drivers: Speed, Quality
Value 3/5 · Effort 2/5
Vibe scripting
Vibe scripting uses AI to draft small scripts for spreadsheet or workspace busywork when a lightweight script is faster than a full automation project.
Value drivers: Speed, Cost
Value 4/5 · Effort 3/5