Create a practical AI adoption playbook for a small team
Map team tasks, identify AI use cases, choose tools, define guardrails, and create a 30-day rollout plan.
Setup time
2 hours
Time saved
4-12 hours
Best for
Small teams, Operations leads, Business owners
Tools
ChatGPT, Feishu Base, Notion, Dify
Overview
This workflow gives teams a safe and practical way to adopt AI without asking everyone to randomly try tools.
When to use this workflow
Tools you need
ChatGPT
AI assistant
General AI assistant for drafting, reasoning, rewriting, and structured content generation.
Visit websiteFeishu Base
Database
Collaborative no-code database for tracking leads, content, operations, and lightweight workflows.
Visit websiteNotion
Workspace
Workspace for docs, databases, calendars, SOPs, and team knowledge bases.
Visit websiteDify
AI app builder
Open-source platform for building LLM apps, RAG knowledge bases, agents, and AI workflows.
Visit websiteStep-by-step workflow
Map recurring tasks
List weekly tasks by team, owner, input, output, frequency, and pain level.
Tool used
Feishu Base
Expected output
A task inventory.
Score AI opportunities
Rank tasks by repeatability, data sensitivity, time cost, output quality risk, and ease of adoption.
Tool used
ChatGPT
Expected output
A prioritized AI use case list.
Define tool and policy choices
Choose approved tools, data rules, review requirements, and examples of allowed use.
Tool used
Notion
Expected output
An AI usage policy and tool list.
Create the 30-day plan
Build a simple rollout plan with pilots, owners, success metrics, and weekly check-ins.
Tool used
Dify
Expected output
A 30-day team AI adoption playbook.
Prompt templates
AI use case scoring
Score these team tasks for AI adoption. Consider repeatability, time cost, quality risk, data sensitivity, and ease of rollout. Return quick wins and risky use cases. Tasks: [paste]30-day rollout plan
Create a 30-day AI adoption plan for this team. Include pilots, owners, allowed tools, data rules, training topics, success metrics, and weekly review agenda. Context: [paste]Automation ideas
- Create monthly AI use case reviews
- Track pilots and time saved in a shared table
- Turn approved prompts into a team prompt library
Common mistakes
- Starting with tools instead of tasks
- Ignoring data rules
- Rolling out too many pilots at once
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