# Controlling Generative AI Costs in the Enterprise with Otoroshi LLM Extension

- URL: https://blog.cloud-apim.com/controlling-generative-ai-costs-in-the-enterprise
- Published: 2025-07-03
- Language: en
- Authors: Thomas Delafaye
- Topics: Otoroshi, LLM, Otoroshi LLM extension, Cloud APIM, API management, AI, AI tools
- Publisher: Cloud APIM (https://www.cloud-apim.com)

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Generative artificial intelligence (generative AI) is revolutionizing the enterprise: smart assistants, automation, content generation… use cases are multiplying fast.

But this growing adoption comes with a major challenge: **managing the usage costs of large language models (LLMs)** such as [ChatGPT](https://chatgpt.com), [Claude](https://claude.ai) or [Mistral](https://mistral.ai/fr).

Many companies end up facing a **bill that keeps climbing** with no real control over it, because of usage that is intensive, poorly governed or scattered across teams.

That's exactly the need we built [**Otoroshi LLM Extension**](https://cloud-apim.github.io/otoroshi-llm-extension/) for: a solution to **take back control of AI costs in the enterprise**, without sacrificing innovation.

## Why monitor and optimize LLM usage in the enterprise?

Here's what we see in the field:

* Monthly LLM costs skyrocket as usage grows (especially with GPT-4).

* A **lack of visibility** into who uses what, how, and at what price.

* No **quotas or usage rules** for employees.

* No distinction between simple tasks (which could use a free or local model) and complex ones.


> 💡 The result: a **loss of budget control**, a **risk of overconsumption** and **unjustified spending**.

## Otoroshi LLM Extension: the solution to control AI costs

**Otoroshi LLM Extension** is a strategic layer that acts as **a single entry point for all AI usage across your company**.

  
It lets you **monitor, secure and govern LLM usage**, while **significantly reducing costs**.

### Automatically reduce LLM calls with **smart caching**

Many requests are repetitive (same question, same context).

  
Rather than paying again every time, [Otoroshi LLM Extension](https://cloud-apim.github.io/otoroshi-llm-extension/) **reuses previous responses**.

* Configurable prompt-based caching

* Responses stored temporarily to avoid needless billed calls

* Ideal for internal assistants or automated FAQs


🎯 **Impact: up to 50% fewer billed requests**

### **Smart routing** to the right model at the right time

Not every use case needs GPT-4.

* For simple tasks: **open source models hosted in-house**

* For complex cases: fallback to high-performance models (GPT, Claude)

* Ability to create **custom rules** based on the type of request or the user


🎯 **Impact: optimized usage, a lighter bill**

### **Access, quota and budget management** per team or department

Control who has access to AI and how many requests are allowed, and keep track of budgets.

* Set **consumption caps** (number of requests or cost)

* Assign API keys per user or service

* Enforce AI governance policies


🎯 **Impact: no more runaway consumption, usage aligned with your strategy**

### **Clear dashboards** for better governance

You can only optimize what you measure.

* LLM usage broken down by department, user or project

* Real-time cost estimates (per token or per model)

* Export and reporting for IT leadership and procurement teams


🎯 **Impact: reliable budget management that supports decision-making**

### **Automatic prompt rewriting** to reduce token usage

Some prompts are needlessly long or poorly worded.

[Otoroshi](https://www.otoroshi.io/) can **simplify or optimize them automatically** before they are sent.

* Removal of redundancies

* Semantic optimization to limit tokens

* Identical results, lower cost


🎯 **Impact: a direct reduction in billed token consumption**

## Built-in security and compliance

By centralizing all AI calls:

* You **block unauthorized usage**

* You prevent sensitive data leaks

* You strengthen GDPR compliance and internal security


## Innovation under control, budget in check

Adopting generative AI shouldn't mean **losing control of your budget**.

With **Otoroshi LLM Extension**, you give your teams a **secure, intelligent framework for using LLMs**, while **maximizing your return on investment**.

## 🚀 Ready to take back control of your AI costs?

🔗 [Explore the official documentation](https://cloud-apim.github.io/otoroshi-llm-extension/docs/overview)  

📬 **Stay informed**  
Subscribe to our blog to keep up with the latest news, tips and best practices around our solutions.

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## 🏢 About Cloud APIM

[**Cloud APIM**](https://www.cloud-apim.com/) is a provider of next-generation API management solutions. We help companies unlock the full potential of their APIs with [**managed**](https://www.cloud-apim.com/otoroshi-managed)**, high-performance, ready-to-use offerings**.

Our innovative products include:

* [**Otoroshi Managed Instances**](https://www.cloud-apim.com/otoroshi-managed): Managed Otoroshi instances, configured and ready in seconds

* [**Serverless with GitOps**](https://www.cloud-apim.com/serverless): Scalable deployments without managing infrastructure

* [**Authify**](https://www.cloud-apim.com/authify): Fast, secure authentication for your APIs


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