Marketing has Jasper. Sales has ChatGPT. Engineering has Claude. The CEO has Copilot. All four are used for the same thing: writing emails and drafting documents.
How Common Are Duplicate AI Tools?
In every AI spend audit we run, we find 2-4 tool pairs that serve the same function in different departments. The most common duplicates: multiple AI writing tools, multiple AI code assistants, and multiple AI research/summarization tools. Each duplicate pair wastes $3,000-$15,000/year in redundant licensing.
Why Do Duplicate AI Tools Happen?
Because AI tool purchasing is decentralized. Each department buys what they need, when they need it, without checking what other teams already have. There's no central AI tool inventory. Nobody is comparing use cases across departments. The same problem that plagued SaaS sprawl 5 years ago is now happening with AI tools — faster.
How Do You Find and Eliminate Duplicate AI Tools?
Map every AI tool to its primary use case — writing, coding, research, data analysis, customer service. If two tools in different departments serve the same use case, that's a consolidation opportunity. Pick the better tool. Migrate users. Cancel the duplicate. One right-sized Copilot consolidation typically pays for the entire audit.