Stop guessing which AI tools fit your business—get a roadmap of proven generative AI use cases that actually drive revenue and cut costs for small teams.
Cohere's Use Case Ideation guide is a free resource that walks small business owners through real-world applications of generative AI. Instead of learning abstract concepts, you'll discover exactly how companies like yours are using AI to write faster, automate repetitive work, and serve customers better. The guide maps out dozens of practical use cases across sales, marketing, operations, and customer service—so you can identify which ones solve your biggest bottlenecks right now.
You'll learn which AI tasks are worth automating, how much time and money other small businesses are saving, and what tools actually deliver results. This cuts your research time from weeks to hours and helps you avoid expensive AI experiments that don't move the needle. Whether you're a solopreneur or running a 50-person team, you'll find use cases that match your budget and skill level.
E-commerce owners automating product descriptions and customer emails; marketing agencies scaling content creation; accounting and legal firms reducing manual document review; SaaS companies improving customer support responses; real estate agents writing property listings; restaurants and service businesses automating appointment reminders; freelancers and consultants handling admin work; and any small business drowning in repetitive writing or data tasks.
Free resource—no signup required, no hidden costs, no paid upgrade.
Small business owners using these ideation frameworks typically identify 2-3 high-impact AI applications within their first week, reducing research costs by $500-$2,000 in consulting fees. Teams that implement recommended use cases save 5-15 hours per week on writing and admin work (worth $250-$750 weekly for a small business), reduce customer response time by 50-70%, and improve content quality while cutting freelance or contractor costs by 20-40%. The guide alone pays for itself if it helps you avoid one failed AI tool subscription or misaligned implementation.