How an insurance company cut its AI bill by 85%

An insurance company was paying a premium for AI models it did not need. We moved its workload to open-source models running on infrastructure we manage, and the bill fell by 85%, with the same output.

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The challenge

AI had become part of the company's daily work. But it was paying a premium for AI models it did not need: for the tasks involved, those models did more than the job required, and the company paid for that extra capacity every month.

The solution

We reviewed the tasks the company used AI for and matched each one with an open-source model able to do the same work. We then moved the workload to self-hosted infrastructure that we run and monitor, and compared the new results with the old ones before switching over.

A review of each AI task and the quality it needed
Open-source models chosen to match each task
Self-hosted infrastructure, run and monitored by us
New results compared with the old ones before the switch

The result

The company's AI costs fell by 85%, with the same output.

Because the models now run on dedicated infrastructure, the data they process no longer goes to an outside AI provider.

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In 30 minutes, we look at what you use AI for and tell you whether open-source models could do the same work for less. If they can't, we tell you.