Cognocient Blog
AI Cost Intelligence
Practical guides on controlling AI spend, attributing LLM costs, and making your AI budget work harder.
Featured Guides
What is AI FinOps? The complete guide for 2026
AI FinOps is the practice of managing the cost, value, and performance of AI and LLM API spend. Learn the 3-phase maturity model, 5 waste categories, and which tools exist.
Cognocient vs LiteLLM: which is right for your team?
LiteLLM is the leading open-source LLM gateway. Cognocient adds pre-call budget enforcement, graceful model degradation, and a CFO reporting layer. An honest comparison.
Cognocient vs Langfuse: observability vs decision intelligence
Langfuse answers "what happened in this trace?" Cognocient answers "should this call have been made at all?" Here is when to use each — and why many teams use both.
Pre-Call Budget Enforcement: Why Post-Hoc Alerts Are Too Late
Most engineering teams have experienced the frustration of receiving a massive bill from their Large Language Model (LLM) provider, only to realize that a single feature or department has blown through their entire budget. A $2,500/month OpenAI bill tells you nothing about whether it's the chatbot,
AI Cost Management for Customer Support Teams
Most customer support teams have no idea how much their AI-powered chatbots actually cost to run. A $5,000/month OpenAI bill tells you nothing about whether it's the chatbot, the knowledge base, or the nightly batch job that's burning through your budget. Cognocient solves this with its AI cost
The CFO's Guide to AI Spend: From Invoice to Intelligence
Most CFOs receive a single monthly invoice for their company's AI spend, which can range from $2,000 to $50,000 or more, depending on the size of the organization and its AI usage. However, this one-size-fits-all invoice provides little to no insight into how the money is being spent, making it
How to Attribute LLM Costs by Feature in 2 Minutes
Most teams have no idea which feature is burning their AI budget. A $2,000/month OpenAI bill tells you nothing about whether it's the chatbot, the search feature, or the nightly batch job. This lack of visibility is a major problem, as it makes it impossible to optimize AI spend or make informed
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