Cognocient Blog
AI Cost Intelligence
Practical writing on controlling AI spend, attributing LLM costs, and making your AI budget work harder — new posts every Monday, Wednesday, and Friday.
LLM Cost Attribution for Platform Teams
The platform team problem is a familiar one: you pay, everyone else spends. As the team responsible for maintaining the internal AI platform, you're on the hook for the costs of Large Language Models (LLMs), but you have little visibility into how those costs are being incurred. A $10,000 monthly…
Runaway Agent Loops: How to Stop a $50K Weekend Surprise
The Monday morning story is one that many engineers and finance leads dread: walking into the office to discover a massive, unexplained spike in AI costs over the weekend. For one team, this story became a harsh reality when they found out that their AI agent had run amok, racking up a staggering…
AI Cost Visibility for Engineering Managers
The engineering manager's AI cost problem is a pressing concern that affects not only the team's budget but also their ability to deliver projects on time. A typical engineering team using Large Language Models (LLMs) can spend upwards of $10,000 per month, with some teams spending as much as…
How to Build a Budget-Aware AI Feature (With Code)
The cost of running Large Language Models (LLMs) can quickly spiral out of control, with many teams facing unexpected bills of $5,000 or more per month. This is often because they have no clear way to attribute costs to specific features or departments, making it impossible to identify areas where…
How SaaS Companies Are Controlling AI Costs at Scale
The cost curve problem is a harsh reality for many SaaS companies: as their revenue grows, their AI spend grows even faster. A typical SaaS company might see their AI costs increase by 25% every quarter, while their revenue only grows by 15%. This disparity can quickly add up, with some companies…
Semantic Caching: How to Cut OpenAI Costs by 40%
Most teams using Large Language Models (LLMs) like OpenAI have no idea they are wasting up to 40% of their budget on redundant queries. A $2,000/month OpenAI bill tells you nothing about which features are burning your budget, and teams often realize too late that they are paying for the same query…
Controlling AI Costs in Agentic Workflows: LangGraph and AutoGen
Most engineering teams working with Large Language Models (LLMs) are familiar with the concept of agentic workflows, where an agent loop coordinates multiple model calls to achieve a specific task. However, what many teams don't realize is that these agent-based workflows can cost 10-50x more than…
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…
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