You're Probably Wasting Money on AI Subscriptions. Here's How to Fix It.
Let me paint a picture that might feel familiar.
You saw a tweet about ChatGPT Plus and signed up. Then someone on a podcast mentioned Claude Pro, so you grabbed that too. Your marketing person has a Jasper subscription. Someone on the team started using Copy.ai. And you're still paying for that Otter.ai plan from six months ago.
Total monthly spend? Somewhere between $200 and $500. Actual value being captured? Maybe $50 worth.
This is the most common problem I see when I start working with a new client. It's not that AI doesn't work. It's that nobody has taken the time to figure out what should be used where and by whom.
The AI Tool Audit Framework
Here's the framework I use with every client. You can do a basic version of this yourself in about an hour.
Step 1: Inventory Everything
List every AI tool your business is paying for. Include:
- The tool name
- Monthly cost
- Who has access
- Who actually uses it (be honest)
- What they use it for
You'll probably be surprised by what you find. I recently worked with a 12-person agency that was paying for seven different AI tools. Three people on the team didn't even know two of them existed.
Step 2: Map Tools to Workflows
For each tool that's actually being used, write down the specific workflow it supports. Not "writing" or "research," the actual workflow. Like:
- "Drafting first versions of client email campaigns" (Jasper)
- "Transcribing and summarizing weekly team meetings" (Otter)
- "Quick answers to client questions during calls" (ChatGPT)
If you can't name a specific workflow, that tool is probably not providing real value.
Step 3: Identify Overlaps
This is where the savings happen. You'll almost certainly find that multiple tools are being used for similar purposes. When that happens, pick the one that does it best and cut the rest.
Common overlaps I see:
- ChatGPT and Claude being used interchangeably with no strategy for which to use when
- Jasper and ChatGPT both being used for marketing copy
- Multiple transcription tools across different team members
Step 4: Consolidate and Train
Once you've identified your core tools, invest time in actually learning them well. Most people use about 20% of any given AI tool's capabilities. Going deeper with fewer tools almost always beats going wide with many.
Real Numbers from Real Clients
A 15-person marketing agency I worked with last quarter:
- Before audit: $680/month across 6 AI tools
- After audit: $340/month across 3 AI tools
- Productivity change: Up 25% (because people actually learned to use the remaining tools properly)
That's over $4,000/year in savings, plus a measurable productivity increase.
When to Bring in Help
You can absolutely do a basic audit yourself using the framework above. But if you want to go deeper, if you want someone who knows the entire AI landscape to evaluate your specific workflows, train your team, and build custom processes, that's what I do.
Book a free consultation and I'll tell you honestly whether your current setup makes sense or if there's a better way.