Use case: Cost savings for a 10-person team using Intrascope

A common setup we see in 10-person teams looks like this:

Before Intrascope
Most teams end up paying for multiple AI subscriptions.
6–10 people on individual ChatGPT or Claude plans.
Some teammates even share accounts, which mixes context and leads to poor outputs.

Typical cost
10 × $20/month = ~$200/month
And that’s before any advanced usage or extra tools.

With Intrascope
The team works inside a single shared workspace using their own API keys.
One admin controls which models are available and sets usage limits.

How costs change
Everyday work runs on cheaper models.
High-value tasks use premium models only when needed.
No duplicate subscriptions. No shared logins. No hidden usage.

For a typical 10-person team
Monthly AI usage often stays around $15–$30 total via API, depending on the model mix.

What actually improves
Clear visibility into AI usage
Predictable monthly costs
No need for individual AI accounts
Cleaner outputs because context is separated per project

This shift turns AI from “everyone doing their own thing” into a managed internal platform teams can actually control.

That’s the core reason we built Intrascope.

Happy to break down numbers or workflows if anyone’s curious.