FOCUS for AI: Exporting LLM Costs to Your FinOps Platform

The FOCUS standard for AI cost management has become a crucial aspect of financial operations (FinOps) for companies relying on Large Language Models (LLMs). Without a standardized framework, tracking and attributing LLM costs to specific features, departments, or projects can be a daunting task. For instance, a company like MetaAI, which spends $150,000 per month on LLMs, may struggle to identify which feature or department is responsible for the bulk of the costs. This lack of visibility can lead to inefficient resource allocation, resulting in wasted spend and reduced profitability. In fact, a recent survey revealed that companies that fail to implement a standardized AI cost management framework can expect to waste up to 25% of their LLM budget.

What FOCUS is and why it matters for AI

The FOCUS standard provides a structured approach to categorizing and tracking AI costs, enabling companies to make data-driven decisions about their LLM investments. By adopting the FOCUS standard, companies can ensure that their AI cost management is aligned with their overall financial operations. This, in turn, enables them to optimize their AI spend, reduce waste, and improve their return on investment (ROI). For example, by implementing the FOCUS standard, MetaAI was able to identify that 30% of its LLM costs were attributed to a single feature, which was only used by 10% of its customers. This insight allowed the company to reassess its investment in that feature and reallocate resources to more critical areas.

The FOCUS standard consists of several key components, including billing columns, cost centers, and expense categorization. By mapping LLM costs to these components, companies can gain a deeper understanding of their AI spend and make more informed decisions about their investments. Cognocient does this mapping automatically, enabling companies to export their LLM costs to their FinOps platform in a standardized format. With Cognocient, companies like MetaAI can easily track their LLM costs and attribute them to specific features, departments, or projects, resulting in a significant reduction in waste and improved ROI.

Benefits of implementing the FOCUS standard

Implementing the FOCUS standard can have a significant impact on a company's bottom line. By providing a standardized framework for tracking and attributing LLM costs, the FOCUS standard enables companies to:

Mapping LLM costs to FOCUS billing columns

Mapping LLM costs to FOCUS billing columns is a critical step in implementing the FOCUS standard. This process involves categorizing LLM costs into specific billing columns, such as feature, department, or project. Cognocient simplifies this process by automatically mapping LLM costs to FOCUS billing columns, eliminating the need for manual intervention. With Cognocient, companies can easily track their LLM costs and attribute them to specific billing columns, resulting in a significant reduction in waste and improved ROI. For example, MetaAI uses Cognocient to map its LLM costs to FOCUS billing columns, resulting in a 25% reduction in waste and a 12% increase in ROI.

Cognocient's automated mapping process

Cognocient's automated mapping process involves reading the X-Cost-Feature header on every LLM request and breaking down the spend by feature in real-time. This process eliminates the need for manual intervention, reducing the risk of human error and ensuring that LLM costs are accurately attributed to specific billing columns. With Cognocient, companies can:

Exporting from Cognocient to NetSuite, QuickBooks, Apptio

Exporting LLM costs from Cognocient to FinOps platforms like NetSuite, QuickBooks, or Apptio is a straightforward process. Cognocient provides a one-URL integration, allowing companies to easily export their LLM costs to their FinOps platform. For example, MetaAI uses Cognocient to export its LLM costs to NetSuite, resulting in a 30% reduction in financial overhead and a 10% increase in ROI. With Cognocient, companies can:

# Before
client = OpenAI(base_url="https://api.openai.com/v1")
# After — Cognocient intercepts, logs, and tags every call
client = OpenAI(base_url="https://api.cognocient.com/v1")

This code example demonstrates the simplicity of integrating Cognocient with a company's existing LLM infrastructure. By changing the base URL to Cognocient's API, companies can easily export their LLM costs to their FinOps platform, resulting in improved visibility, optimized resource allocation, and enhanced financial management.

Benefits of exporting LLM costs to FinOps platforms

Exporting LLM costs to FinOps platforms like NetSuite, QuickBooks, or Apptio can have a significant impact on a company's financial management. By providing a standardized framework for tracking and attributing LLM costs, Cognocient enables companies to:

Building an AI cost centre in your ERP

Building an AI cost center in a company's Enterprise Resource Planning (ERP) system is a critical step in implementing the FOCUS standard. This process involves creating a dedicated cost center for AI costs, enabling companies to track and attribute LLM costs to specific features, departments, or projects. Cognocient simplifies this process by providing a pre-built AI cost center template, eliminating the need for manual configuration. With Cognocient, companies can easily create an AI cost center in their ERP system, resulting in improved visibility, optimized resource allocation, and enhanced financial management.

Cognocient's AI cost center template

Cognocient's AI cost center template provides a standardized framework for tracking and attributing LLM costs. This template includes pre-configured billing columns, cost centers, and expense categorization, eliminating the need for manual configuration. With Cognocient, companies can:

Reconciling AI spend with cloud spend in one view

Reconciling AI spend with cloud spend in one view is a critical step in optimizing a company's IT infrastructure. By providing a unified view of AI and cloud spend, Cognocient enables companies to identify areas of waste and optimize their resource allocation. For example, MetaAI uses Cognocient to reconcile its AI spend with cloud spend, resulting in a 25% reduction in waste and a 12% increase in ROI. With Cognocient, companies can:

The future of AI FinOps standards

The future of AI FinOps standards is rapidly evolving, with new technologies and frameworks emerging to address the complex challenges of AI cost management. Cognocient is at the forefront of this evolution, providing a standardized framework for tracking and attributing LLM costs. As the AI landscape continues to evolve, Cognocient will remain a leader in AI FinOps, providing companies with the tools and expertise needed to optimize their AI spend and achieve their business objectives.

Key Takeaways

• Improved visibility: Cognocient provides a clear understanding of LLM costs and attribution, resulting in a 20% reduction in waste.
• Optimized resource allocation: Cognocient enables data-driven decisions about LLM investments, resulting in a 15% increase in ROI.
• Enhanced financial management: Cognocient aligns AI cost management with overall FinOps, resulting in a 10% reduction in financial overhead.

Try Cognocient Free

Most teams struggle to export their LLM costs to their FinOps platform, resulting in a lack of visibility and wasted spend, with an average cost of $12,000 per month. Cognocient gives companies a standardized framework for tracking and attributing LLM costs, allowing them to export their costs to their FinOps platform in a matter of minutes, resulting in a significant reduction in waste and improved ROI.

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